文献类型：期刊文献

英文题名：Comparing selection strategies for engineering research hotspots

作者：Cai, Fang[1,2];Zheng, Wen-Jiang[3];Zhang, Xiao[4];Ji, Jiu-Ming[5];Zhou, Wei-Xing[2,4,6]

机构：[1]East China Univ Sci & Technol, Coll Distance Educ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[3]Chinese Acad Engn, Ctr Strateg Studies, Beijing 100088, Peoples R China;[4]East China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China;[5]East China Univ Sci & Technol, Inst Sci & Technol Informat, Shanghai 200237, Peoples R China;[6]East China Univ Sci & Technol, Dept Finance, Shanghai 200237, Peoples R China

年份：2019

卷号：534

外文期刊名：PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

收录：;EI(收录号：20193307303700);WOS:【SSCI(收录号:WOS:000496334300057)，SCI-EXPANDED(收录号:WOS:000496334300057)】；

基金：We are grateful to Clarivate Analytics for preprocessing the data and all the participants of the Global Engineering Fronts project. This work was partially supported by the Chinese Academy of Engineering Strategic Consulting Project (Grant No. 2018-XZ-23-01) and the Fundamental Research Funds for the Central Universities, China.

语种：英文

外文关键词：Research topics; Research hot spots; Selection strategy; Co-citation clustering; Bibliometrics

摘要：Identifying research fronts is of great scientific and practical significance. Partnered with Clarivate Analytics and the Higher Education Press, the Chinese Academy of Engineering launched an annual project, aiming to identify engineering research and development frontiers. For engineering research, we determine the candidate hotspots mainly based on data analysis of highly cited papers in the Web of Science Core Collection and select the fronts based on expert research and judgment. The research hotspots are selected from topics clustered through co-citation analysis, which are based on four topic indicators including the number of core papers, total citations, average publication year of core papers, and the percentage of consistently cited publications. It is thus crucial to design proper strategies for hotspot selection. We compared the performance of several hotspot selection strategies and found that the proposed mixed selection strategy performs best. The strategy was used in the 2018 project and led to an improved edition. We present an overall comparison of the performance of the top 10 countries or regions in engineering research fronts based respectively on the number of first author core papers and the citation number per paper of core papers. We believe that our experience obtained from the implementation of the Engineering Fronts project can be used as reference for other similar bibliometric projects. (C) 2019 Elsevier B.V. All rights reserved.