Search

Global science is set to experience different times in the 2020s. China surpasses the USA in terms of the number of scientific papers in 2020 in most scientific databases. This scenario is expected to have implications not only in East Asia but also beyond the region. Against this backdrop, this paper investigates the scientific influence of the US-China competition on six major Muslim-majority science systems. Multiple data sources are used to collect data for the bibliometric analyses, which include the trend analysis of collaboration patterns, discipline-based collaborations, authorship patterns for responsibility in collaborations, and citation premium of collaborations with the USA versus China. All the analyses consistently demonstrate that the USA is losing its scientific influence on the selected Muslim-majority science systems to China. Analysis results indicate an astonishing increase in collaborations with China-based scientists in the last decade. Half of the selected Muslim-majority science systems collaborate more with China-based scientists, whereas the other half collaborate more with the USA in 2021, indicating a fifty-fifty split. The collaborations with China-based authors garner higher citation premiums for the selected Muslim-majority science systems than the collaborations with the USA.

We utilized cross tabulation statistics, word frequency counts, and content analysis of research output to conduct a bibliometric study, and used CiteSpace software to depict a knowledge map for research on entrepreneurship education in China from 2004 to 2013. The study shows that, in this duration, the study of Chinese entrepreneurship education experienced a progression through three stages, an "exploratory stage of learning from foreign models," a "developmental stage geared toward employment problems," and a "transformative stage promoting cultivation of student abilities," and featured three primary characteristics, "multidisciplinary fusion," "imbalanced regional distribution," and "policy orientation." In the future, popular fields in the study of entrepreneurship education are to be concentrated in the three areas, namely "entrepreneurship education and talent cultivation," "entrepreneurship education and entrepreneurial environments," and "entrepreneurship education and innovation education."

Artificial intelligence (AI) has emerged as an innovative technology with the potential to revolutionize various industries including libraries and information science. Academic libraries are increasingly adopting artificial intelligence (AI) to enhance services, improve efficiency, and enhance user experience. This study utilizes a bibliometric approach to comprehensively analyze current research on AI in academic libraries (AI in ALs). This study employed bibliometric indicators to identify key trends, patterns, and research gaps in the existing literature. A comprehensive dataset of 373 research papers on AI in ALs published between 2002 and 2022 was collected and analyzed using the Scopus database. Various bibliometric tools, such as Biblioshiny, VOSviewer, and BibExcel, have enhanced this analysis. The findings of this study provide important insights. By 2022, there were 64 publications, constituting 17.16% of the total corpus, accompanied by 65 citations. In contrast, 2019 witnessed only 33 publications yet accumulated a substantial number of citations, amounting to 294, representing 8.85% of the overall citations. Conference papers exhibited the highest frequency among different publication types, with 165 publications, whereas journal articles had the highest citation count, accumulating 217 citations. Geographically, China emerged as the leading contributor with 119 publications, and Wuhan University stood out as the most prominent affiliation. Notably, the "Lecture Notes in Computer Science" series emerged as the most prolific source title, publishing 15 articles, of which eight were cited. The authors Wang J., Wang C., and Wang X. from China demonstrated significant contributions, consistently publishing four papers annually from 2010 to 2022. [ABSTRACT FROM AUTHOR]

Objective: To analyze the bibliometric indicators of SCI papers in the field of pharmacy in China from 2010 to 2019 by Essential Science Indicators (ESI) and InCites databases, so as to know the status quo and development trend of pharmacy in China in the last decade. Methods: In search of papers from ESI and InCites databases, the publication time of papers for retrieval was set within the time span of 2010-2019, the research output location was "mainland China" and the research area was "pharmacology and pharmacy". Then，related SCI papers in the field of pharmacy contributed by researchers in mainland China from 2010 to 2019 were retrieved. Such vital data as publication years, specific journals, location of research institutions, international collaboration and funding for researches were analyzed statistically, and those papers with high influential impact were further retrieved and analyzed. Results: In the field of domestic pharmacy，a total of 81 679 SCI papers were published, including 13 720 international collaborative papers and 470 papers with high influential impact. The amount of SCI papers，the number of international collaborative papers and papers with high influential impact increased year by year. China had international collaboration with 129 countries or regions in the field of pharmacy，and 48 .49% of the papers were sponsored by domestic research funds. Conclusion: In recent 10 years, the scope of research in pharmacy at home has expanded gradually, academic influential impact has arisen steadily, and the number of international collaborative papers and papers with high influential impact has also increased quite noticeably. However, the quality of scientific papers as well as international collaboration demand further improvement. [ABSTRACT FROM AUTHOR]

The superiority of BWM over other weighting methods for obtaining the weight values of the attributes is that it achieves high-confidence results with a reasonable number of pairwise comparisons. Although the best-worst method (BWM) is a well-known multi-criteria decision-making (MCDM) method that has been successfully utilized in almost all scientific areas to solve challenging real-life problems, no research has comprehensively examined the state-of-the-art in this regard. The present study depicts a detailed overview of publications concerned with BWM during the period 2015–2022. Based on the information obtained from the Scopus database, this work presents a big picture of current research on BWM. In other words, this paper analyzes the existing literature about BWM and identifies thematic contexts, application areas, emerging trends, and remaining research gaps to shed light on future research agendas aligning with those gaps. Further, the most recent BWM research is analyzed in the top ten scientific areas, from engineering to materials science. “Engineering”, “computer science”, and “business, management, and accounting” are the hottest fields of BWM research. China is the most active country regarding “engineering” and “computer science”, whereas India is the leader in “business, management, and accounting”. The study also reveals that there are still many research gaps in BWM research. The big picture taken in this study will not only showcase the current situation of BWM research but will also positively impact the direction and quality of new research. [ABSTRACT FROM AUTHOR]

Over the last decade, research on evolving computational thinking (CT) has garnered heightened attention. Assessing the publication tendencies and nucleus contents of investigations on progressing CT to direct future research initiatives, develop policies, and integrate them into instructional materials is timely and exceedingly essential in education. Therefore, this research reviewed publications on progressing CT to identify research trends and core contents published in the Scopus database from 2008 to May 2022. For this reason, this study applied bibliometric and content analysis to 132 selected publications. After examining bibliometrics, the findings indicate a steady increase in publications related to game-based learning (GBL) and CT, reaching a peak in 2021, with the United States emerging as the most prolific contributor in terms of authors, institutions, and countries). The leading country in citations is primarily China. The document that received the most citations is Hsu's 2018 paper on "Computers and Education". Analysis of keywords and themes reveals core content tendencies, emphasizing teaching methods and attitudes aimed at improving CT via GBL. These results offer valuable insights for researchers and educators to inform their future work. However, future studies may benefit from including other databases such as Web of Science (WoS) and PubMed, employing alternative bibliometric software like VOSviewer or CiteSpace, as well as collecting data from June 2022. [ABSTRACT FROM AUTHOR]

This research scrutinizes the trends and dynamics of Intellectual Property Protection (IPP) of Intangible Cultural Heritage (ICH) in China, utilizing a dataset of 91 papers from the CNKI database spanning 2011 to 2020. The study uses CiteSpace software to visualise and analyse the literature across multiple dimensions, including article count, authorship, institutional affiliations, and keyword co-occurrence. Findings indicate a lack of robust collaboration among authors and institutions in IPP and ICH, with a scarcity of active cooperative groups. Critical research hotspots identified encompass intangible cultural heritage, intellectual property protection, inheritors, legal protection, copyright, intellectual property law, and geographical indications, with the legal safeguarding of ICH's intellectual property, digital conservation, traditional cultural expressions, and original authentication emerging as the leading research frontiers. This investigation provides a holistic view of China's IPP and ICH landscape, offering essential scientific insights for ongoing scholarly discourse. This study mainly benefits policymakers and stakeholders in the cultural heritage sector, underscoring the necessity of enhanced authorial and institutional collaboration and the prioritization of legal and digital protection mechanisms to safeguard China's intangible cultural legacy for posterity. The analysis is critical, informing policy formulation and strategic planning to bolster ICH's protection and sustainable management in China. [ABSTRACT FROM AUTHOR]

Background: Spinal cord injury (SCI) is a severe central nervous trauma that can cause serious consequences. Cell death is emerging as a common pathogenesis after SCI. In the last two decades, numerous studies have been published in the field of cell death after SCI. However, it is still rare to find relevant bibliometric analyses. This bibliometric study aims to visually represent global research trends in the field of cell death after SCI. Methods: Bibliometric data were sourced from the Web of Science Core Collection (WoSCC) database. VOSviewer, CiteSpace, and R software ("bibliometrix" package) were used to analyze and visualize bibliometric data. Annual scientific production, countries/regions, institutions, authors, journals, highly cited papers, keywords, and literature co-citation were evaluated to determine research performance. Results: An analysis of 5,078 publications extracted from the WoSCC database revealed a fluctuating yet persistent growth in the field of cell death after SCI over the past 23 years. China and the United States, contributing 69% of the total publications, were the main driving force in this field. The Wenzhou Medical University from China contributed to the most papers. In terms of authors, Salvatore Cuzzocrea from the University of Messina had the highest number of publications. The "Journal of Neurotrauma" was the top journal in terms of the number of publications, however, the "Journal of Neuroscience" was the top journal in terms of the number of citations. The theme of the highly cited articles mainly focused on the mechanism of cell death after SCI. The keyword and literature co-citation analysis mainly focused on the mode of cell death, mechanism research of cell death, and functional recovery after SCI. Conclusion: This study analyzes the research hotspots, frontiers, and development trends in the field of cell death after SCI, which is important for future studies. [ABSTRACT FROM AUTHOR]

This review paper presents a comprehensive bibliometric analysis of the global scientific research pertaining to carbapenem-resistant Acinetobacter baumannii (CRAB) from the years 1996 to 2023. The review employs a systematic approach to evaluate the trends, patterns, and collaborative networks within the CRAB research landscape, shedding light on its substantial global health implications. An analysis of the Scopus database reveals that the earliest publication within the CRAB research domain dates back to 1996. By conducting a meticulous examination of publication output, citation trends, author affiliations, and keyword distributions, this paper provides valuable insights into the evolution of research themes and the emergence of new areas of interest concerning CRAB. The findings of this bibliometric analysis prominently feature the most influential author within this field, namely, Higgins PG, who has contributed a remarkable 39 documents to CRAB research. It is noteworthy that China leads in terms of the quantity of published research articles in this domain, whereas the United States occupies the foremost position about citations within the CRAB research sphere. Furthermore, a more profound exploration of the data yields a heightened understanding of the current status of CRAB research, emphasizing potential avenues for future investigations and underscoring the imperative need for collaborative initiatives to address the challenges posed by this antibiotic-resistant pathogen. [ABSTRACT FROM AUTHOR]

Introduction: This study presents a global research scenario in the broad domain of osteoarthritis (OA) research, using quantitative and qualitative publication and citation indicators. Methods: The study is based on 45,368 global publications, sourced from the Scopus bibliographical database, covering three decades (1994–2023). We studied the performance of the top 12 developed and top 12 developing countries. The key countries, organizations and authors at national and international levels were identified. The broad subject areas and key journals contributing to global OA research were delineated, besides identifying the broad characteristics of highly cited papers in the field. Results: The United States and China were the most productive countries, while the Netherlands and Canada made the largest citation impact. Harvard Medical School and the University of Sydney made the most contribution, while Boston University and Pfizer Inc., USA registered the highest citation impact. Hunter DJ and Guermazi A were the most productive authors, while Lohmander LS, and Hochberg MC registered the highest citation impact. Osteoarthritis and Cartilage (n = 4879) and Annals of the Rheumatic Diseases (n = 786) published the maximum papers, while Arthritis and Rheumatism and Nature Reviews Rheumatology registered the largest citation impact. The highly cited papers with 100 or more citations constituted 6.25% of the total publications. Conclusions: There has been a systematic growth of publications on OA. The research on OA was mainly done in developed countries, with the maximum publications coming from the United States of America, China and Canada. The most impactful publications on OA were from the Netherlands, Canada and the United States of America. [ABSTRACT FROM AUTHOR]

Laminated composite plates have become a crucial point of interest in the industry, with the need to ensure sustained and stable structures throughout the plates' lifespan. This study conducted a bibliometric analysis using the Scopus database, gathering 8221 documents for further scrutiny based on the linked meta-data. Utilizing the VOS viewer software version 1.6.19, maps were generated from scientific publishing network data, illustrating connections between researchers' nations and keywords. The investigation into co-occurring phrases associated with laminated composite plates employed author keywords. The results reveal a significant and close relationship among top authors, suggesting a strong research connection, with the United States and China leading the field. Top cited documents and keyword correlations are examined to gauge current research interests. These critical reviews serve as essential resources for scholars and practitioners in the field. Additionally, the review discusses the advancements in and practical applications of different theories for laminated composite plates, with a focus on a bibliometric study using the Scopus database. This paper categorizes models within the context of an equivalent single-layer laminate, analyzing variations in established theories and methodologies for modeling laminated composite plates to offer a nuanced understanding of approaches and assessments in this field. [ABSTRACT FROM AUTHOR]

Illicium verum Hook. f. is a globally significant spice, which is recognized in China as a food-medicine homolog and extensively utilized across the pharmaceutical, food, and spice industries. China boasts the world's leading resources of I. verum, yet its comprehensive utilization remains relatively underexplored. Through a resource survey of I. verum and the application of bibliometric visualization using CiteSpace, this study analyzed 324 papers published in the Web of Science Core Collection (WOSCC) from 1962 to 2023 and 353 core documents from China's three major databases (CNKI, Wanfang Database, and VIP Database). I. verum from Guangxi province towards various southern provinces in China, with autumn fruits exhibited superior quality and market value over their spring fruits. Literature in WOSCC emerged earlier, with a research emphasis on food science technology and pharmacology pharmacy domains. WOSCC research on I. verum could be divided into two phases: an embryonic period (1962–2001) and a growth period (2002–2023), showing an overall upward trend in publication. The three major Chinese databases contain a larger number of publications, with a focus on the food sector, which could be categorized into three stages: an embryonic period (1990–1999), a growth period (2000–2010), and a stable period (2011–2023), with an overall downward trend in publication. Both Chinese and international research hotspots converge on the medical applications of I. verum, with antioxidant bioactivity research emerging as a prevailing trend. This study delineated the resource distribution of I. verum across China and identified the research hotspots and trends both in China and internationally. The findings are beneficial for guiding researchers in swiftly establishing their research focus and furnishing decision-makers with a comprehensive reference for industry information. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the present study is to synthesize the extant literature on augmented reality and virtual reality in the apparel industry using bibliometric and network visualization techniques. This paper also highlights the existing gaps in the literature and sets out the future research trajectory. Design/methodology/approach: This study investigated research articles in the domain of augmented and virtual reality in the apparel industry to assess global trends in research production in this area, and top contributors to research by way of authors, journals, countries and institutions. The study carried out an analysis of 239 research articles from the Scopus database during the period 1995 to 2021. The study used open-source bibliometric tools such as Biblioshiny and VOSviewer to analyze the research literature over the search period and also identify emerging research avenues. Findings: The bibliometric analysis reveals that there is significant interest in this research domain. A total of 673 authors contributed to the 239 research articles analyzed and the number of multi-author documents exceeded those by single authors. Research in this domain is led by China with the maximum number of articles in the data set followed by the USA and France. However, the USA has received the highest number of citations. Donghua University from China is the largest contributor to research in this domain with 13 articles in the data set. The keyword co-occurrence analysis indicates that "virtual reality" has the most number of co-occurrences and linkages with other keywords. Other important keywords include "augmented reality," "virtual try-on" and "cloth simulation." The network visualization exercise also revealed significant collaboration between different countries in this research domain. Practical implications: The gaps highlighted in this study will act as a reference point for researchers to conduct future studies in the field of augmented and virtual reality in apparel industry. Practitioners will also gain a comprehensive understanding of this research domain. Originality/value: This study, to the best of the authors' knowledge, is the first attempt to integrate the disjoint literature of augmented and virtual reality in apparel industry through a mapping of the intellectual structure of this research domain. The study also contributes by way of providing a snapshot of future research avenues in the knowledge domain of augmented and virtual reality in the apparel industry. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer (CRC)is the third most common cancer in the world and the second leading cause of cancer-related deaths, and over the past two decades, many of these researchers have provided a substantial amount of important information on the role of gut microbes in the development and progression of CRC. A causal relationship between the presence of specific microorganisms and CRC development has also been validated. Although a large number of papers related to this area have been published, no bibliometric study has been conducted to review the current state of research in this area and to highlight the research trends and hotspots in this area. This study aims to analyze the current status and future research trends of gut microbiota and CRC through bibliometric analysis. Methods: Publications from 2001 to 2022 were retrieved from the Web of Science Core Collection database and screened according to inclusion criteria. VOSviewer and CiteSpace software were used to visualize the research trends in this field, including the analysis of title, country, institution, author, number of publications, year of publication, number of citations, journal, and H-index. Results: A total of 863 studies were eventually identified, and the articles retrieved were cited an average of 44.85 times each. The number of publications on this topic has been increased steadily since 2011. China and the USA have made the largest contribution in the field. FRONTIERS IN MICROBIOLOGY is the top productive journal with 26 papers, and Gut journal has the highest average citation (167.23). Shanghai Jiao Tong University is the most contributive institution. Professor Yu J, Sung, Joseph J. Y and Fang JY are the most productive authors in this field. Keyword co-occurrence analysis showed that the terms of "'Gut Microbiota", "Colorectal Cancer", "Inflammation", "Probiotic" and "Fusobacterium Nucleatum" were the most frequent, which revealed the research hotpots and trends in this field. Conclusions: There has been a growing number of publications over the past two decades according to the global trends. China and the USA still maintained the leading position in this field. However, collaboration between institutions needs to be strengthened. It's commended to pay attention to the latest hotspots, such as "F. nucleatum" and "probiotics". This bibliometric analysis evaluates the scope and trends of gut microbiota and CRC, providing a useful perspective on current research and future directions for studying the link between the gut microbiota and CRC. [ABSTRACT FROM AUTHOR]

The continuous increase in the volume of geospatial data has led to the creation of storage tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform that facilitates geoprocessing, making it a tool of great interest to the academic and research world. This article proposes a bibliometric analysis of the GEE platform to analyze its scientific production. The methodology consists of four phases. The first phase corresponds to selecting "search" criteria, followed by the second phase focused on collecting data during the 2011 and 2022 periods using Elsevier's Scopus database. Software and bibliometrics allowed to review the published articles during the third phase. Finally, the results were analyzed and interpreted in the last phase. The research found 2800 documents that received contributions from 125 countries, with China and the USA leading as the countries with higher contributions supporting an increment in the use of GEE for the visualization and processing of geospatial data. The intellectual structure study and knowledge mapping showed that topics of interest included satellites, sensors, remote sensing, machine learning, land use and land cover. The co-citations analysis revealed the connection between the researchers who used the GEE platform in their research papers. GEE has proven to be an emergent web platform with the potential to manage big satellite data easily. Furthermore, GEE is considered a multidisciplinary tool with multiple applications in various areas of knowledge. This research adds to the current knowledge about the Google Earth Engine platform, analyzing its cognitive structure related to the research in the Scopus database. In addition, this study presents inferences and suggestions to develop future works with this methodology. [ABSTRACT FROM AUTHOR]

Background: Bibliometric analysis is a mature method for quantitative evaluation of academic productivity. In view of the rapid development of research in the field of systemic lupus erythematosus (SLE) in the past decade, we used bibliometric methods to comprehensively analyze the literature in the field of SLE from 2013 to 2022. Methods: The relevant literature in the field of SLE from 2013 to 2022 was screened in the Web of Science Core Collection database. After obtaining and sorting out the data, CiteSpace and VOSviewer software were used to visualize the relevant data, and SPSS software was used for scientific statistics. Results: A total of 18,450 publications were included in this study. The number of articles published over the past 10 years has generally shown an upward trend, while Altmetric attention scores have also shown a clear upward trend in general and in most countries. Citation analysis and Altmetric analysis can mutually prove and supplement the influence of papers. The USA, China, Japan, Italy, and the UK are the most productive countries, but China and Japan are significantly inferior to other countries in terms of research influence. Four of the top ten authors are at the center of the collaboration network. LUPUS is the most contributing journal. The theme of systemic lupus erythematosus research mainly focuses on the pathogenesis, treatment, and management of SLE, and the emerging trend is related research on machine learning and immune cells. Conclusion: This study shows the research status of SLE, clarifies the main contributors in this field, discusses and analyzes the research hotspots and trends in this field, and provides reference for further research in this field to promote the development of SLE research. Key Points • Through bibliometric analysis, Altmetric analysis, and visual analysis, we reveal the global productivity characteristics of SLE-related papers in the past 10 years. • The number of global SLE-related studies has shown a significant increase, indicating that SLE is still a hot topic and deserves further study. • Citation analysis and Altmetric analysis can mutually prove and supplement the influence of papers, and the attention of related literature among non-professional researchers is increasing. • The theme of SLE research mainly focuses on the pathogenesis, treatment, and management of SLE. The emerging trend is machine learning and immune cells, which may provide new strategies for the diagnosis and treatment of SLE in the future. [ABSTRACT FROM AUTHOR]

miRNAs biomarkers are emerging as an essential part of clinical oncology. Their oncogenic and tumour suppressor properties playing a role in malignancy has generated interest in their potential for use in disease prognosis. While several studies on miRNA have been carried out across the globe, evaluating the clinical implications of miRNAs in cancer diagnosis and prognosis research has currently not been attempted. A study delineating the area of miRNA research, including the topics presently being focused on, the seminal papers in this field, and the direction of research interest, does not exist. This study aims to conduct a large-scale, global data analysis and bibliometric profiling analysis of studies to evaluate the research output of clinical implications of miRNAs in cancer diagnosis and prognosis listed in the SCOPUS database. A systematic search strategy was followed to identify and extract all relevant studies, subsequently analysed to generate a bibliometric map. SPSS software (version 27) was used to calculate bibliometric indicators or parameters for analysis, such as year and country of affiliation with leading authors, journals, and institutions. It is also used to analyse annual research outputs, including total citations and the number of times it has been cited with productive nations and H-index. The number of global research articles retrieved for miRNA-Cancer research over the study period 2003 to 2019 was 18,636. Between 2012 and 2019, the growth rate of global publications is six times (n = 15,959; 90.71 percent articles) that of 2003 to 2011. (2704; 9.29 per cent articles). China published the most publications in the field of miRNA in cancer (n = 7782; 41%), while the United States had the most citations (n = 327,538; 48%) during the time span. Of these journals, Oncotarget has the highest percentage of article publications. The journal Cancer Research had the most citations (n = 41,876), with 6.20 per cent (n = 41,876). This study revealed a wide variety of journals in which miRNA-Cancer research are published; these bibliometric parameters exhibit crucial clinical information on performance assessment of research productivity and quality of research output. Therefore, this study provides a helpful reference for clinical oncologists, cancer scientists, policy decision-makers and clinical data researchers. [ABSTRACT FROM AUTHOR]

In order to grasp the research status of different fertilization modes in China's farmland more comprehensively, with papers in core journals of Chinese Peking University collected in CNKI database from 2003 to 2022 as the main research object, this paper analyzed the research status of different fertilization modes from the perspectives of annual number of published papers, published journals, keywords and highly cited papers applying the bibliometrics research method. This study provides reference for the research in this field. [ABSTRACT FROM AUTHOR]

Simple Summary: Avian leukosis viruses (ALVs) are important veterinary viruses. Given the medicinal and economic significance of ALV infections in poultry, we explored and compiled data from the Web of Science (Core Collection) database. According to scientific data, there are limited bibliometric studies on ALV research. We aimed to find research trends and themes, the influential journals, authors, countries, institutions, and worldwide collaborative networking of countries on ALV research. Recent developments in networking science and bibliometric tools have paved the way to visualize and map scientific outputs. We utilized the bibliometric tools VOSviewer and Biblioshiny software to construct and map research trends and themes for Avian Leukosis Viruses. Our findings revealed that Chinese and American research institutions produced the majority of papers during the study time period. The Journal of Virology and Avian Diseases appeared as the preferable journal/source for publications. Apart from the avian leukosis virus and the ALV-J, the important keywords mentioned were avian leukosis virus subgroup j, chicken, and retrovirus. The bibliometric analysis revealed substantial findings on ALV research, with a strong research response from the USA and China. Avian leukosis virus (ALV) has a tremendous adverse impact on the poultry industry. Since its discovery, research on different aspects of ALV have been published. Due to the vast academic emphasis and economic importance of the ALV infection in poultry worldwide, this bibliometric analysis explored the scientific output associated with ALV utilizing the Web of Science (Core Collection) database. The relevant data were collected using the search query "AVIAN LEUKOSIS VIRUS", further refined by document types (article, book chapter, and proceedings paper). Finally, 1060 items with full records were imported in Plaintext and tab-delimited formats. The data analysis was carried out using MS Excel, VOS viewer, and R (Biblioshiny) software. Chinese and American research institutions produced the majority of papers during study time period. The Journal of Virology and Avian Diseases appeared as the favorite journal/source for publications. Apart from the avian leukosis virus and the ALV-J, the important keywords mentioned included avian leukosis virus subgroup j, chicken, and retrovirus. The analysis revealed substantial findings on ALV research, with a strong research response from the USA and China. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Yangtze Normal University is the property of Journal of Yangtze Normal University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aim: To conduct a bibliometric network analysis to explore the research landscape of immediate implant placement (IIP) and provide insights into its trends and contributors. Materials and Methods: The Scopus database was utilized as the bibliographic source, and a search strategy was implemented to identify relevant research articles. Various bibliometric parameters were extracted, including publication year, journal, authors, citations, and funding. The analysis involved examining authorship patterns, international collaborations, level of evidence, Altmetric data, and funding analysis. Results: We identified a steady annual growth rate of 6.49% in IIP research. The top three countries contributing to research output were the USA, Italy, and China. Prolific authors were identified based on publication and citation metrics. International collaborations among different countries were observed. The level of evidence analysis revealed that over 30% of the articles fell into higher levels of evidence (levels 1 and 2). Altmetric data analysis indicated no significant correlations between citation counts and Altmetric Attention Score (AAS), and conversely a significant association with Mendeley readers count. Funding and open access did not significantly impact the bibliometric indices of the papers. Conclusions: The focus of research on IIP has been evolving as indicated by an exponential growth rate in this study. Only approximately 16% of the articles fit into level 1 evidence, therefore, emphasizing on higher quality level research study shortage in this field. Modern indices can be used as new bibliometric indicators as they also cover social media and online attention scores. [ABSTRACT FROM AUTHOR]

Aim: To evaluate the output of scientific publications in obstetrics and gynecology journals from Mainland China and six other countries, to compare the difference of research situation between Mainland China and the developed countries in order to measure the trend of number of publication in the field of Obstetrics and Gynecology. Methods: Information on article amounts, impact factors (IF), citation and publication in high‐impact obstetrics and gynecology journals by seven top‐ranking countries between January 1, 2007 and August 31, 2017, was extracted from Web of Science databases. Results: A total of 137 661 articles were published between 2007 and 2017 in the 98 obstetrics and gynecology journals. The cumulative IF and citations of articles from USA were the highest. The highest average citation was France and Mainland China ranked fourth. There were 52 631 papers published in the top 10 obstetrics and gynecology journals and the USA accounted for the majority of these papers (33 978, 64.6%), followed by England (8347, 15.9%). Articles from the USA were most often published in American Journal of Obstetrics and Gynecology (10658) and those from Mainland China were mostly published in Fertility and Sterility (809). Conclusion: The USA published the most articles having high IF, making the greatest contribution to the field of obstetrics and gynecology. Although the number of scientific publications from Mainland China has rapidly increased from 2007 to 2017, the quality of these publications has not been as satisfactory. It implys that Chinese current academic evaluation system should pay special attention to the quality of academic papers, instead of the number of papers published by scientists. [ABSTRACT FROM AUTHOR]

In recent years, there has been a rapid increase in scientific research into hydrogeochemical research on glacier meltwater. Nevertheless, systematic and quantitative analyses are lacking to investigate how this research field has developed over the years. As a result, this study is aimed at examining and evaluating recent research trends and frontiers in hydrogeochemical research on glacier meltwater throughout the previous 20 years (2002–2022) and at locating collaboration networks. This is the first global-scale study, and visualization of the key hotspots and trends in hydrogeochemical research has been presented here. The Web of Science Core Collection (WoSCC) database aided in the retrieval of research publications related to hydrogeochemical research of glacier meltwater published between 2002 and 2022. From the beginning of 2002 till July 2022, 6035 publications on the hydrogeochemical study of glacier meltwater were compiled. The result revealed that the number of published papers on the hydrogeochemical study of glacier meltwater at higher altitudes had grown exponentially, with USA and China being the main research countries. The number of publications produced from the USA and China accounts for about half (50%) of all publications from the top 10 countries. Kang SC, Schwikowski M, and Tranter M are highly influential authors in hydrogeochemical research of glacier meltwater. However, the research from developed nations, particularly the United States, emphasizes hydrogeochemical research more than those from developing countries. In addition, the research on glacier meltwater's role in streamflow components is limited, particularly in the high-altitude regions and needs to be enhanced. [ABSTRACT FROM AUTHOR]

Literature, as a carrier of researchers’ research results, can objectively reflect the development status of the field. Rural human resource development and management are of great significance and value to China's sustainable development and has received much attention as a research hotspot over the years. This study aims to understand the current situation of rural human resources research in China, help relevant scholars keep abreast of the research dynamics in this field in China, and better engage in rural human resources research. The article selects the China National Knowledge Infrastructure Database (CNKI) as the data source uses “rural human resources” as the keyword to search the relevant literature from 2000 to 2020; a total of 909 documents were searched. On this basis, it uses the bibliometric method to analyze the relevant literature. The results of this study showed the following: 1) There are era differences in the academic circles’ attention to rural human resource development. From 2000 to 2020, the relevant literature showed certain volatility. 2) There is insufficient systematic research on the literature. There are many journal articles in the literature resources, but a lack of dissertations. 3) Author units are mostly concentrated in colleges and universities, particularly agricultural universities. 4) The quantity of excellent literature is insufficient, and there is little funded literature. In future research, it is recommended that relevant scholars increase their research efforts on rural revitalization and the cultivation of emerging professional farmers in light of China's national conditions, and at the same time improve the systematic and targeted research. [ABSTRACT FROM AUTHOR]

Copyright of Food & Machinery is the property of Food & Machinery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Internet of Things (IoT) has made our surroundings more innovative and responsive, which has improved our lives. This research aims to provide a comprehensive overview by describing the descriptive parameters of publications, visualizing co-authorship and citation patterns, extracting the authors' keywords, and determining the impact and research performance of the IoT in education. Subsequently, this paper provides an orientation for researchers to understand better the main progress and gaps in this scientific publication. From 2006 to 2021, a comprehensive inspection of 2503 documents in the Scopus database was accomplished. Based on the findings, the number of publications increased steadily, with a hike in publication numbers in 2020. Scholars from China contributed approximately 467 of the total global publications among 103 other countries. In addition, of the other 160 outlets, Advances in Intelligent Systems and Computing was the most prolific source title. Generally, there is sustained interest and increased research in this field, apart from establishing novel methods and directions. Accordingly, an in-depth examination of the IoT in education research may assist researchers and practitioners in advancing prospective knowledge in this subject by identifying gaps. [ABSTRACT FROM AUTHOR]

In rural areas with higher agricultural energy consumption, ensuring low-carbon transformation and rapid penetration is crucial; therefore, the importance of rural energy system in energy transformation is even more prominent. In order to better understand the research progress of rural integrated energy system, the existing structure of rural energy system and design method are briefly introduced, and the bibliometric method is applied to analyze publications from 2013 to 2023. Based on the Scopus database, 915 publications have been retrieved. These publications are analyzed from the perspective of citation, author, address, and published journal. It is concluded that existing researches mostly use conventional energy technologies to achieve power supply in rural areas, lacking analysis of the potential application of emerging energy technologies and research on multi-energy demand. Furthermore, the review reveals the economy of grid-connected rural energy system is mainly related to geographical location, system configuration, and resource endowment. The bibliometric analysis indicated that these publications are mainly from India and China; the average citation is 24.98, and each article is co-published by 3.66 authors, 2.26 institutes, and 1.46 countries. This work is helpful for scholars to understand the research status on the rural integrated energy system. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is being used in our daily lives, in all situations and in particular those concerning service systems. However, there is an absence of the ability of the conceptual structure, thematic structure, intellectual structure, and research trends of AI and disruptive technologies in service systems. The main purpose of this study was to carry out a bibliometric analysis of the scientific production of AI and disruptive technologies in service systems based on Elsevier's Scopus database. To do so, keywords were chosen and then data outputs such as the number of published documents, top authors and citations, top journals, countries, and affiliations with the highest number of productions, and network analysis using R-based "biblioshiny" software. The main results showed the growing interest in the subject in the last five years, pointed out current themes and research trends, and revealed the intellectual structure of the field, namely the importance of smart services, cloud computing, and smart sustainable cities. The number of articles for this study reached 1,323, the growth rate has increased in the last five years and the main sources have been reported. China, South Korea and the USA were the leading countries on the subject, and the top 10 authors of influence showed. The word cloud and word growth were presented, as well as the co-citation clusters and co-occurrence network revealed important aspects, and finally the thematic map and the thematic evolution of the subject showed the important concepts. It is hoped that this research will supply future directions for researchers in the area while highlighting the potential of quantitative methods. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chengdu University (Social Science) is the property of Journal of Chengdu University (Social Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Since its official establishment in 2010, Google Earth Engine (GEE) has developed rapidly and has played a significant role in the global remote sensing community. A bibliometric analysis was conducted on 1995 peer-reviewed articles related to GEE, indexed in the Scopus database up to December 2022 to investigate its trends and main applications. Our main findings are as follows: (1) The number of GEE-related articles has increased rapidly, with nearly 85% of them published in the last three years; (2) The top three domains where GEE has been extensively applied are earth and planetary sciences, environmental science, and agricultural and biological sciences. The majority of GEE-related articles were authored by scholars from China and the US, accounting for 58% of the total, with US scholars having the largest impact on the community, contributing to over 50% of the total citations; (3) Remote Sensing published the highest number of articles (26.82%), whereas Remote Sensing of Environment received the highest number of citations (30.40%); (4) The applications of GEE covered a broad range of topics, with a focus on land applications, water resource applications, climate change, and crop mapping; (5) Landsat imagery were the most popular and widely used dataset; and (6) Random forest, decision trees, support vector machines were the most commonly used machine learning algorithms in GEE. Although having a few limitations, this type of analysis should be conducted regularly to observe the development of this field on a regular basis, as the number of publications related to GEE is expected to continue to increase strongly in the coming years. [ABSTRACT FROM AUTHOR]

At present, the number of megaprojects in China is rapidly increasing, with multiple projects ranked as the world's highest. To showcase the theoretical and practical achievements of China's megaprojects to the world, a visual analysis was carried out using CiteSpace software based on data from 520 pieces of core literature related to megaproject governance in the CNKI database from 2001 to 2023. Our findings indicate that: the number of publications has significantly increased since 2016, with a core group of researchers significantly contributing to this field, while team collaboration needs to be strengthened; the research hotspots include social stability risks, transaction governance, and innovation in megaprojects; the research can be divided into three stages, starting with early macro-studies, gradually forming clear and hierarchical research branches, and beginning to develop in the direction of Chinese characteristics and innovative deepening in recent years; research on the megaproject governance system is becoming gradually more enriched, but there is a lack of research at the levels of top-level governance and operational governance. Finally, in order to advance the study of megaproject governance in China, future research directions are suggested. [ABSTRACT FROM AUTHOR]

Background. Idiopathic pulmonary fibrosis (IPF) is a disease with significant morbidity, progressive deterioration of lung function till death, and lack of effective treatment options. This study aims to explore the global research trends in IPF and immune response to predict the research hotspot in the future. Materials and methods. All related publications on IPF and immune response since the establishment of diagnostic criteria for IPF were retrieved using the Web of Science (WOS) database. VOSviewer, GraphPad Prism 6, CiteSpace version 5.6. R5 64-bit, and a bibliometrics online platform were used to extract and analyze the trends in relevant fields. Results. From March 1, 2000, to September 30, 2022, a total of 658 articles with 25,126 citations met the inclusion criteria. The United States ranked first in number of publications (n = 217), number of citations (n = 14,745), and H-index (62). China ranked second in publications (n = 124) and seventh and fifth for citation frequency and H-index, respectively. The American Journal of Respiratory and Critical Care Medicine (impact factor = 30.528) published the most articles in the field. The author Kaminski N. from the United States was the most influential author with 26 publications and an H-index of 24. Among the 52 keywords that co-occurred at least 20 times, the main keywords were concentrated in "Inflammation related" and "Biomarker related" clusters. "biomarker" (AAY 2018.64, 25 times) was a newly emerged keyword. Conclusions. The United States has an unequivocal advantage in IPF and immunization, but China shows a faster developing trend. The American Journal of Respiratory and Critical Care Medicine should be prioritized for leading articles. This study indicates that exploration of ideal immune-related biomarkers to provide evidence for the clinical work of IPF might be a hotspot in the near future. [ABSTRACT FROM AUTHOR]

Over the past two decades, the world's view of the state‐owned enterprise reform (SOER) has shifted. Based on the WOS database and CiteSpace, this study analyzes the SOER from seven dimensions and reveals that the SOER is heating up and closer to co‐research. China and the United States have become important research centers, and Chinese state‐owned enterprises have become the main research objects. Moreover, this study finds that the concept of the SOER has changed rapidly after 2012 and supports state ownership in five aspects: economic drive, resource access, innovation promotion, social responsibility enhancements, and state governance. [ABSTRACT FROM AUTHOR]

The present investigation consists of a bibliometric review related to the prediction systems for the production of renewable energies through artificial intelligence. In this regard, a systematic bibliographic search of the topic was carried out in the Scopus database in November 2022 using the search equation: ( TITLEABS- KEY ( "artificial intelligence") OR TITLE-ABS-KEY ( " machine learning" ) OR TITLE-ABS-KEY ( "Deep learning") AND TITLE-ABSKEY ( "renewable energies " ) OR TITLE-ABS-KEY ( "alternative energies" ) OR TITLE-ABS-KEY ( "clean energies" " ) AND TITLE-ABSKEY ( "predictive model*" ) OR TITLE-ABS-KEY ( "forecast* systems" ) OR TITLE-ABS-KEY ( "predictive method" ) OR TITLE-ABS-KEY ( "predictive analytics " ) ). The results obtained show that between the years 2021 and 2022, 58% of all the investigations carried out are concentrated. In the geographical section, China (36) turned out to be the country that contributed the most papers to the subject studied, closely followed by the United States (34). In turn, the four journals that publish the most on the subject were ENERGIES (14), IEEE ACCESS (11), JOURNAL OF CLEANER PRODUCTION (6) and APPLIED ENERGY (5), while the 3 authors with the most published articles were Deo RC (12), Ghimire S (6) and Raj N (4). Finally, the three publications with the highest number of citations were Hu Q, 2016, Renew Energy (301), Ahmad MW, 2018, J Clean Prod (151) and Ahmad T, 2020, Sustainable Cities SOC (149). [ABSTRACT FROM AUTHOR]

A documentary review was carried out on the production and publication of research papers related to the study of the variable Artificial Intelligence, Innovation and Business Development. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022, achieving the identification of 568 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that China with 107 publications was the country with the highest scientific production registered in the name of authors affiliated with institutions of that nation. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of the variable Artificial Intelligence Innovation and Business Development was Computer Science with 286 published documents, and the Type of Publication most used during the period indicated above were Conference Articles with 36% of the total scientific production. [ABSTRACT FROM AUTHOR]

Through this document, it was possible to analyze the main characteristics of the volume of scientific production regarding the study of the variables Food Processing, Innovation and Healthy Eating. A bibliometric analysis was proposed to analyze details such as Year of Publication, Country of Origin of the publication, Area of Knowledge in which the published research is carried out and the Type of Publication most frequently used by the authors of each document published in high-impact journals indexed in the Scopus database during the period between 2017 and 2022. Among the main findings, it was possible to determine that, for the execution of the different research methodologies, the report of 80 scientific documents related to the study of innovative trends in food processing within the tenure to a healthier and more sustainable diet was achieved. The maximum number of publications made in a year was 27 papers submitted in 2022. The country of origin of the institutions that reported the highest number of records in Scopus, was China with 15 documents. The area of knowledge with the greatest influence at the time of executing the research projects that resulted in scientific publications was Agriculture and Biological Sciences with 51 documents. Finally, the type of publication most frequently used to publicize findings from the analysis of the aforementioned variables was the Article, which represented 46% of the total scientific production. [ABSTRACT FROM AUTHOR]

A documentary review was carried out on the production and publication of research papers related to the study of the variables SMEs and Growth Indicators. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 201 7-2022, achieving the identification of 124 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that China and Russia, with 1 1 publications were the countries with the highest scientific production registered in the name of authors affiliated with institutions of thesenations. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of the administration of SMEs, as well as the growth indicators was Business, Administration and Accounting with 60 published documents, and the Type of Publication most used during the period indicated above was theArticles with 78% of the total scientific production. [ABSTRACT FROM AUTHOR]

Through this document, it was possible to analyze the main characteristics of the volume of scientific production regarding the study of the variables Blended Learning and English Teaching. A bibliometric analysis was proposed to analyze the details such as Year of Publication, Country of Origin of the publication, Area of Knowledge in which the published research is carried out and the Type of Publication most frequently used by the authors of each document published in high impact journals indexed in the Scopus database. during the period between 2017 and 2022. Among the main findings, it was possible to determine that, for the execution of the different research methodologies, the report of 272 scientific documents related to the study of Blended Learning in English language teaching was achieved. The maximum number of publications made in a year was 74 papers submitted in 2022. The country of origin of the institutions that reported the highest number of records in Scopus, was China with 60 documents. The area of knowledge with the greatest influence at the time of executing the research projects that resulted in scientific publications was Social Sciences, which contributed great theoretical material in a total of 184 publications. Finally, the type of publication most frequently used to publicize findings from the analysis of the aforementioned variables was the Article with 166 copies of this type. [ABSTRACT FROM AUTHOR]

This bibliometric study analyzes the evolution of research in artificial intelligence (AI) applied to medicine from 2015 to September 2023. Using the Scopus database and keywords related to AI, machine learning, and deep learning in medicine, tools such as VOSviewer and Bibliometrix were used to explore publication trends, subject areas, co-authorship networks, and the most productive countries, among others. 2,064 articles were analyzed, and a significant increase in global academic production has been evident in the last five years. International collaboration was notable, with China and the United States leading in knowledge contribution. The keyword analysis highlights the breadth of topics and applications of AI in medicine, with particular emphasis on cancer detection, dengue diagnosis, and medical image analysis, among others. In conclusion, this study highlights the growing academic interest in the application of AI in medicine and the need for collaborative research. The findings underscore the relevance of these technologies in key areas of health care, contributing significantly to advances in medical diagnosis and prognosis. [ABSTRACT FROM AUTHOR]

[Display omitted] • Scientometric analysis of MPs in soil ecosystems was performed. • A total of 2210 articles on MPs from 2012 to 2022 were analyzed. • Knowledge bases, trends, and hotspots in MP research were identified. • China was the top country in terms of publications and funding. • The migration of MPs from terrestrial to aquatic systems should be considered in the future. Soil microplastic (MP) pollution is a growing global environmental issue leading to a series of ecosystem problems and functional losses. However, understanding the advances and trends in soil MP pollution research proved to be difficult based on individual studies. Herein, CiteSpace visualization analysis software was used to sort the literature obtained on soil MP research from the Web of Science (WoS) TM core collection database, and bibliometric analysis of publication volume, country/region, keywords and other information was conducted. Results showed that soil microplastics (MP) research had much lower publication volume than hydrological system MP research, and was still in its developing stage. However, the number of research hotspots in soil MP research increased continuously since 2018. Countries such as China, the United States, the Netherlands and Australia have published more papers in this field than other countries, and collaboration among research institutions is strong. The source, pollution status, analysis methods and toxic effects of MPs in soils are current research hotspots. In the future, the focus of MP research in terrestrial ecosystems should shift from ecotoxicology to the impact of MPs on ecosystems and earth system feedback. The bibliometric analysis results of this study can serve as a reference for in-depth studies of the pollution status of MPs in soils. For MP soil pollution research, cross-background, cross-institution, cross-country cooperation and cross-disciplinary roles should be encouraged to accelerate the growth and diversification of the field. [ABSTRACT FROM AUTHOR]

Environmental taxation has captured significant attention to tackle climate change, and a plethora of studies have been done within the vicennial on this new tax regime. The present study analyses the scientific studies through bibliometric analysis to find out the research gap and research variables for modelling of environmental tax. The 590 literature is retrieved from the Scopus database (2001–2022 March) with the keywords Environmental* Tax* OR Carbon Tax*, after limiting the subject area to economics, business, finance, and social science. The analysis is confined to the most impactful journals, organisations, countries, keywords, international collaboration, and the direction of recent research areas. It is found that the "Journal of cleaner production" has the highest growth rate due to the most productive (43 publications) and highly cited (1115 total citations) journal. The 'North China Power University' has published the highest 26 documents, and China is the most productive (148 publications) and highly cited (2598 total citation) country. The USA has the highest international collaboration in 118 documents with 17 countries. The study found that over half of the top 30 keywords are about policymaking, reform, regulation, and environmental tax impact. Analysis of keywords and network analysis directs that the Impact of environmental and carbon tax, Double dividend, Effect on macroeconomic variables, Emission trading system and Public acceptability are the research hotspots in the published literature. It is suggested from the analytical results that research collaboration among social science and environmental science subjects and developed and developing nations will bridge the knowledge gap and bring new insights to the environmental tax area. [ABSTRACT FROM AUTHOR]

Objectives: Perform a bibliometric analysis on the role of LAG-3 in the domain of cancer, elucidate the prevailing areas of research, and visually depict the evolutionary trajectory and prospective directions of LAG-3 research over the past twenty-three decades. Materials and methods: Between 2000 and 2023, a comprehensive review of scholarly articles pertaining to LAG-3 research in the context of cancer was carried out using the Web of Science Core Collection (WoSCC) database. Bibliometric analysis can be conducted by taking advantage of VOSviewer (version 1.6.16) and CiteSpace (version 6.2.R4). Create a network diagram to visually represent various authors, countries, and organizations while assessing the publishing years, journals, references, and keywords. Results: In conclusion, 1841 records were identified and published in 587 publications. These records were authored by 12,849 individuals affiliated with 2491 institutes across 74 countries. There has been a substantial surge in publications subsequent to 2013. The USA, China, and Germany gave the majority of records, amounting to 69.69%. American institutions actively engage in collaboration with institutions located in other countries. Triebel, F., Vignali, Dario A. A., Workman, Creg J. Drake, Charles G., and Elkord, Eyad are highly regarded authors in their respective fields. However, it is worth noting that Triebel exhibits limited collaboration with other writers. The examination of the role of LAG-3 in cancer and its potential for use in clinical settings is a discernible trend, as seen by keyword analysis. Conclusion: The scientific interest in and attention towards LAG-3 has experienced a significant rise since 2013. The United States is leading the way, with China following closely behind. Promoting collaboration among writers, nations, and institutions with varied backgrounds is imperative. The discipline of immunotherapy is currently seeing ongoing progress. A thorough investigation of the distinctive cis ligand TCR-CD3 complex of LAG-3 and its signal transduction mechanism is necessary. Additionally, it is worthwhile to explore novel combinations of LAG-3 therapy. [ABSTRACT FROM AUTHOR]

Background: The application of artificial intelligence (AI) in orthodontics and orthognathic surgery has gained significant attention in recent years. However, there is a lack of bibliometric reports that analyze the academic literature in this field to identify publishing and citation trends. By conducting an analysis of the top 100 most-cited articles on AI in orthodontics and orthognathic surgery, we aim to unveil popular research topics, key authors, institutions, countries, and journals in this area. Methods: A comprehensive search was conducted in the Web of Science (WOS) electronic database to identify the top 100 most-cited articles on AI in orthodontics and orthognathic surgery. Publication and citation data were obtained and further analyzed and visualized using R Biblioshiny. The key domains of the 100 articles were also identified. Results: The top 100 most-cited articles were published between 2005 and 2022, contributed by 458 authors, with an average citation count of 22.09. South Korea emerged as the leading contributor with the highest number of publications (28) and citations (595), followed by China (16, 373), and the United States (7, 248). Notably, six South Korean authors ranked among the top 10 contributors, and three South Korean institutions were listed as the most productive. International collaborations were predominantly observed between the United States, China, and South Korea. The main domains of the articles focused on automated imaging assessment (42%), aiding diagnosis and treatment planning (34%), and the assessment of growth and development (10%). Besides, a positive correlation was observed between the testing sample size and citation counts (P = 0.010), as well as between the time of publication and citation counts (P < 0.001). Conclusions: The utilization of AI in orthodontics and orthognathic surgery has shown remarkable progress, particularly in the domains of imaging analysis, diagnosis and treatment planning, and growth and development assessment. This bibliometric analysis provides valuable insights into the top-cited articles and the trends of AI research in this field. [ABSTRACT FROM AUTHOR]

In recent decades, extensive research has been conducted to explore toxicity in the aquatic environment. In spite of the extensive research conducted on toxicity in the aquatic environment, there is a need for a comprehensive analysis that integrates various aspects of the research landscape. This study focused on: i) providing characteristics of research areas of publications, ii) assessing productive countries and institutions, iii) identifying research topics based on certain keywords and defining research hotspots, and iv) assisting in the perspective of current hot topics, future trends, and challenges. A systematic review and analysis of studies on natural water and wastewater toxicology from the Scopus database were conducted, covering the period from 2015 to 2019. This study presents a temporal distribution of publications considering several factors, such as materials, types of toxicity, test organisms, journals, and country. By conducting a comprehensive search on Scopus, our study identified a total of 7,043 articles on acute (62%) and chronic toxicity (38%). Freshwater environments accounted for the majority of acute and chronic toxicity studies, while studies on wastewater environments were relatively scarce. Daphnia magna emerged as the most used organism, representing 41% of acute toxicity studies and 27% of chronic toxicity studies. The results show that China is the most productive country with 330 articles. The study has made it possible to visualise an effective contribution to science by filling the existing gaps. It has provided some perspectives and insights for the development of further research on this topic. [ABSTRACT FROM AUTHOR]

The Harmony Search Algorithm (HSA) is a nature-inspired algorithm that emulates the improvisational process of musicians and has been successfully applied to various optimization problems across diverse domains. While numerous studies have reviewed and surveyed the HSA, to the best of our knowledge, no bibliometric analysis of the algorithm's applications in the context of Combinatorial Optimization Problems (COPs) has been conducted within the Scopus database prior to this research. This study aims to provide a comprehensive bibliometric analysis of HSA applications in COPs by examining a total of 2134 articles. The descriptive and bibliometric analyses focused on identifying the most productive journals, leading researchers, highly cited articles, prolific countries in HSA research, and potential future directions. The results indicate that the Advances in Intelligent Systems and Computing journal has published 93 articles, accounting for 4.358% of the total publications. Geem emerged as a prominent figure in the field, with 88 documents and 11,489 citations since 2001, as determined using the RStudio software. In terms of country-wise contributions, China ranked first, producing 592 HSA-related documents. This analysis offers valuable insights for researchers and practitioners engaged in HSA applications within the realm of COPs. [ABSTRACT FROM AUTHOR]

Land subsidence (LS) is becoming one of the major problems in coastal and delta cities worldwide. Understanding the current LS situation and the research trends is of paramount importance for further studies and addressing future international research networks. We analyzed the LS-related literature available from the Scopus database. The use of a single database avoided the redundancy of articles, while excluding some subject areas was useful to obtain only studies related to LS. By using VOSviewer and CiteSpace tools, we conducted a bibliometric analysis by considering title, keywords, and abstract to identify the temporal development, the geographical origin, and the area of study of the research. The results revealed a considerable heterogeneity of approaches, thematics, study areas, and research output trends. China, the US, and Italy are the major contributors to the scientific production, but the higher number of articles is not always related to the extension of the LS phenomenon in these countries. The monitoring approach differs worldwide, and univocal modeling is still lacking; from the analysis of the keywords, it is clear that the focus of most studies is on the relationship with the hydrological/hydrogeological aspects. Since the 2000s, however, the development of SAR technologies has boosted the study of the phenomenon from a different point of view. [ABSTRACT FROM AUTHOR]

Climate change has become one of the leading problems around the world. The transport sector is one of the major contributors to climate change. At the same time, climate change is also affecting transportation facilities and travel behaviour. This study proposed a bibliometric approach to explore the structure evolution development trends of this knowledge domain with a broader search scope and more objective results compared with a manual review. A total of 4073 peer-reviewed articles were collected from the WoS core collection database to conduct scientometric analysis. The collaboration analysis shows that the US, China, and European countries dominate this field, and international organisations' and government agencies' reports on climate change form the basis of this research field. A total of 14 co-citation clusters were identified, and the research on climate change and transportation primarily focused on the topics of policy options, travel behaviour, the COVID-19 lockdown, environmental cost, and air quality. Keyword co-occurrence evolution analysis was also conducted to track the latest research trends. Based on the results, we propose trends in four areas for future research. This study provides a holistic knowledge map for climate change and transportation research's past, present, and future. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are rapidly becoming a sustainable and viable mode of future transportation due to their multitude of advantages, such as reduced CO2 emissions, local air pollutants, and vehicular noise. This study aims to identify and analyze the scientific literature using bibliometric analysis to determine the main topics of authors, their sources, and the most-cited articles, countries, journals, and institutes in the literature on EVs. This bibliometric analysis included scientific work that was published from 2011 to 2022 to provide a thorough analysis of EVs, which will assist researchers and policymakers in understanding the most current global EV advancements. This analysis extracted all bibliometric information about EVs from the Scopus database, collecting 17,150 articles published between 2011 and 2022. The data were sorted for analysis by publication year, document type, author, institute, country, cited author, keyword, and keyword co-occurrence of the EVs. The VOSviewer software was employed to examine the sorted data due to its excellent analysis and visualization capabilities. We used VOSviewer to graphically represent the density, co-occurrence, trends, and linkage of the aforementioned data comprehensibly. The publishing patterns of EVs indicate that the research field is evolving, with a yearly increase in the number of publications. The analysis showed that China, the United States, and the United Kingdom are leading in EV research and large-scale applications. Furthermore, China is the leading country in terms of research institutions and authors involved in EVs. The journal Energies is the most prominent publication periodical. Keyword analysis revealed that during the past decade, EV research has concentrated on battery-management systems, energy storage, charging infrastructure, environmental concerns, etc. The bibliometric study offered pertinent details on the main themes explored concerning EVs and current technological developments. [ABSTRACT FROM AUTHOR]

Copyright of Estudos Tecnológicos em Engenharia is the property of Universidade do Vale do Rio dos Sinos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background Recently, the literature on rural left-behind children in China has rapidly grown. However, no comprehensive review of the status of knowledge on the issue exists. Methods A co-cited network map of 327 studies (covering 1998 through 2014) drawn from the Chinese Social Studies Citation Index database was analysed. Results Using visualization software, the results identified three fundamental studies on the issue and four hot topics: interventions, deviant behaviours, mental health and family childrearing strategies. The analysis found that knowledge on this topic could be furthered by (1) focusing on protective factors and (2) integrating disciplines by standardizing concepts and measures. Conclusions These study's results are an important reference for the development of theories, practices and policies regarding rural left-behind children in China. [ABSTRACT FROM AUTHOR]