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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Big Data | doi: 10.3389/fdata.2019.00041

ScholarCitation: Chinese Scholar Citation Analysis Based on ScholarSpace in the Field of Computer Science

 Hanting Su1,  Zhuoya Fan1, Chen Cao1, Yi Zhang1, Shuo Wang1 and Xiaofeng Meng1*
  • 1Renmin University of China, China

Citation analysis is one of the most commonly used methods in academic assessments. Up to now, most of academic assessments are based on English literature, ignoring the fact that the role of Chinese papers in academic assessments has become increasingly indispensable. Therefore, to give full play to the role of Chinese literature in academic assessments is an urgent task of current academic circle. Based on Chinese academic data from ScholarSpace, i.e. 82826 Chinese computer science journal papers, we conduct a comprehensive assessment of academic influence from the perspectives of fields, journals and institutions, in order to achieve a better understanding of the development of Chinese computer literature in the past 60 years. We find that Chinese scholars tend to cite papers in English, discover evolution trend of fields, journals and institutions, and call on journals, institutions and scholars to strengthen their cooperation.

Keywords: Chinese literature, Citation analysis, ScholarSpace, computer science, Chinese academic data

Received: 31 Aug 2019; Accepted: 31 Oct 2019.

Copyright: © 2019 Su, Fan, Cao, Zhang, Wang and Meng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Xiaofeng Meng, Renmin University of China, Beijing, 100872, Beijing Municipality, China, xfmeng@ruc.edu.cn