1. Analytic hierarchy process based judgment model of highly cited papers in journal
- Author
-
Hua Liu and Fei Qi
- Subjects
Operations research ,Computer science ,business.industry ,Management science ,media_common.quotation_subject ,Analytic hierarchy process ,020206 networking & telecommunications ,02 engineering and technology ,Knowledge infrastructure ,Adaptability ,Market research ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Quality (business) ,business ,Aerospace ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,media_common - Abstract
Widening the draft resources is the key of academic journal of university. To improve the quality and efficiency of university journals' soliciting contributions, a judgment model of highly cited papers in journal of universities was proposed. First, the core elements of high-cited papers were obtained by using the analysis of highly cited papers in China National Knowledge Infrastructure (CNKI). Secondly, the Analytic Hierarchy Process (AHP) in operational research was applied to the research on the high-cited papers of college journals, the evaluation model was constructed, and the judgment matrix was established by paired comparison method. The weights of each influencing factor were calculated and finally sorted according to the importance. Finally, through the practice verification of the “Journal of Shenyang Aerospace University” for the past two years, the proposed model has good adaptability and practical effect.
- Published
- 2017