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This article collected papers published by Chinese archaeologists in Chinese and World core journals (CCJs and WCJs for short) in the past century. Based on bibliometric analysis, the general characteristics and trends of Chinese archaeology were summarized. In a macroscopic perspective, historiography-rooted archaeology focusing on historical periods and central areas of China and preferring traditional archaeological methods (mainly a culture-historical paradigm) will continue to occupy a leading position in China. Simultaneously, interdisciplinary research and internationalisation will likely continue to develop and diversify Chinese archaeology, though the speed is unknown due to the impact of the pandemic. In comparison, more attention needs to be paid to theoretical research and to publishing more results of historical archaeology in WCJs. [ABSTRACT FROM AUTHOR]

The present study is aimed toward examining the attention received by research papers through social and electronic media in business research. In recent years, altmetrics has emerged as a complementary measure of the impact of research works besides citation analysis and bibliometrics. Using the altmetric attention score (AAS) the paper is the first research of its kind to shed light on the characteristics of 100 papers receiving the highest online attention. Various predictors of online engagement with articles in business research journals having an impact factor greater than 6 are discussed. Data was collected from the Dimensions.ai database and analyzed using R statistical software. It is found that the Journal of Business Ethics contributed maximum papers with the highest AAS followed by the Journal of Business Research. Using the Kruskal-Wallis rank-sum test it was determined that AAS in business research is dependent upon article type, topics, and journal of publication. Most of the papers in high impact factor business journals have been contributed by the authors of USA, UK and China. [ABSTRACT FROM AUTHOR]

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]

Publications in Renal Failure in Science Citation Index Expanded (SCI-EXPANDED) between 1992 and 2021 were analyzed. Six publication indicators: total, independent, collaborative, first author, corresponding author, and single author publications as well as their related citation indicators, were used to compare performances of countries, institutes, and authors. Comparison of the highly cited papers and journal's impact factor (IF) contributors was discussed. In addition, the main research topics in the journal were presented. Results show that China published the most total articles and reviews, as well as the first-author papers and corresponding-author papers in the journal. The Chang Gung Memorial Hospital in Taiwan ranked the top in five publication indicators: total, single-institution, inter-institutionally collaborative, first author, and corresponding-author papers. A low percentage of productive authors emerged as a journal IF contributor. Similarly, only a limited relationship between highly cited papers and IF contributing papers was found. Publications related to hemodialysis, chronic kidney disease, and acute kidney injury were the most popular topic, while meta-analysis was new focus in the last decade in the journal. [ABSTRACT FROM AUTHOR]

Team science refers to research initiatives considered in collaboration with scientists from different disciplines or fields. This paper presents a bibliometric analysis for visualization of global research activity concerning the combination of cancer and the COVID-19 pandemic using a team science approach. A bibliometric study was implemented using Web of Science from 2019 to 2021. We analyzed citations to identify description and citations analysis of results, most prolific countries, international research collaboration, most prolific institutions, research areas, most cited papers, and most productive journals. The preliminary data of 2,313 studies that adopted a team science approach were recorded and analyzed. Team science is becoming progressively popular in cancer research. The United States was the most active country, followed by Italy and China. The United States, the United Kingdom, and Italy had the highest level of cooperation with other countries. The most prolific institution was Harvard University, followed by University of London and the University of Texas System. Head and Neck Journal for the Sciences and Specialties of the Head and Neck, Frontiers in Oncology, and eCancerMedicalScience were the most productive journals. Governments, organizations, policymakers, and researchers should pay attention to team science approach at times of disasters such as cancer and COVID-19 to achieve the best strategies for controlling cancer that is currently a world problem. [ABSTRACT FROM AUTHOR]

In this study, 285 Chinese core journal papers involving early childhood sports in the CNKI (China National Knowledge Infrastructure) database from 1993 to 2022 were selected as samples. Text mining and data statistical analysis tools, such as BICOMB2.0, SPSS22.0, UCINET6.0, EXCEL2016, and other research methods in bibliometrics, such as word frequency analysis, co word clustering analysis, multidimensional scale analysis, and strategic coordinate map analysis, were used to explore the status and evolutionary trends of early childhood sports in China. The results are as follows: Since 2011, the annual number of documents has indicated a wave-like increasing trend every year, reaching its peak in 2020. In total, 237 institutions participated in this study. The journal distribution of papers in this field was close to the 1:4:16 ratio of Bradford's law. A relatively stable periodic group was formed. 12 cluster themes have been formed in the field of children's sports in China. [ABSTRACT FROM AUTHOR]

Solid waste management refers to collecting, treating, and disposing of solid waste that has served its purpose or is no longer useful. The primary purpose of this research is to map and visualize the solid waste management literature indexed on the Web of science between 1966 and 2021 based on bibliometrics analysis. This study also identified the most productive authors, sources, organizations, countries, research areas, funding agencies etc. This study employed the bibliometric method to analyze global research productivity on solid waste management literature. A total of 4444 research papers downloaded from the Web of science during the study period. Bibliometrics software, namely Bibexcel, VOSviewer, Biblioshiny, and Microsoft Excel, used to analyze the data. The results show that there was 4444 publication with 78759 citations between 1966 and 2021. The maximum number of papers, i.e., 424 published in 2020, in 1966 single paper published and received one citation. The journal Waste management published 382 papers and became the most relevant source of the topic, whereas Huang GH recognized as the most prolific author with 214 papers. China contributed a significant number of research papers in the field, while the University of Regina, Canada, emerged as a top-performing institution. China and Canada together collaborated more in producing literature in solid waste management. The study concludes that there is a need for further bibliometric study of other related topics in waste management, such as liquid waste management and gasses waste management. [ABSTRACT FROM AUTHOR]

Technological advances in tea production are critical to meet global demands for tea consumption. To illuminate differences in the scientific and commercial relevance of research programs between major tea-related research organizations around the world, we conducted a bibliometric analysis comparing the scientific outputs, including peer-reviewed publications and patents, of six major research organizations published between January 01, 2008 and July 11, 2020. For this competitive ranking analysis, we examined a number of papers, research topics, academic influence, capacity for development, capacity for collaboration, and capacity for technological innovation. Among the six research organizations, Anhui Agricultural University (in China) had the most publications, while the Chinese Academy of Agricultural Sciences, Tea Research Institute showed a higher capacity for development. The Council for Scientific and Industrial Research (in India) and the University of Shizuoka (Japan) both showed high academic influence, while the University of Shizuoka, Tea Research Association Tocklai and National Agriculture and Food Research Organization (Japan) showed a high capacity for collaboration. The Chinese Academy of Agricultural Sciences, Tea Research Institute applied for the most patents, while the Council for Scientific and Industrial Research applied for the most international patents. [ABSTRACT FROM AUTHOR]

Landslide susceptibility assessment (LSA) is a significant part of landslide research, which plays an important role in preventing landslide disasters. It has gained an increasing attention in both the academic and practice fields for the past two decades. However, there have been few bibliometric analyses on this topic, although bibliometric analysis can inspire future researchers by exploring the overall characteristics of the published literature. This article aims at collecting and analyzing the information of the abstracts, authors, institutions, countries, journals, funds, and keywords of the recent 4,732 papers published from 1999 to 2021 in Web of Science (www.webofscience.com). In particular, latent Dirichlet allocation (LDA), a machine learning and text analysis method, is utilized to analyze the abstract of each article to identify the hottest research topics related to LSA. The results revealed that: (1) The amount of annual publications related to LSA generally shows an increasing trend, which accounts for about 22% of the total landslide publications in 2021; (2) The author of Pradhan B, the institution of the Chinese Academy of Sciences, the country of China, the journal of Natural Hazards and the funding agency of the National Natural Science Foundation of China, are the productive performers in each aspect of LSA; and (3) Machine learning methods have gained a rapid increase in LSA in recent five years, which have become the most popular research topic. [ABSTRACT FROM AUTHOR]