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中国人工智能国际合作顶尖专家识别与评价.

Authors :
林卓
黄浩海
Source :
Journal of Library & Information Science in Agriculture. Jan2022, Vol. 34 Issue 1, p86-95. 10p.
Publication Year :
2022

Abstract

[Purpose/Significance] The paper aims to identify and evaluate the top experts of international cooperation of artificial intelligence (AI) in China, so as to provide references for further international cooperation on AI in China. [Method/Process] The top AI experts whose H index is greater than 40 are selected as the research object. Based on Aminer platform, this paper identifies top AI experts for international cooperation in China, and uses Topsis method to evaluate academic level of these experts. [Results/Conclusions] The results show that: (1) The cooperation of top experts between China and the United States is more frequently than that between China and other countries combined. (2) Top experts are mainly male, and the proportion of women is extremely low. (3) The institutions of top experts are distributed in 22 countries (regions) around the world, and the distribution of institutions is generally consistent with the situation of science & technology and economic strength of each region. (4) Some of top experts have the dual identities of university researchers and enterprise scientists. (5) Chinese and American top experts play a leading role in international cooperation in the field of academic papers. International migration of AI scientists reflects in Chinese scholars studying or working abroad, while the main international expert recruits in China are American experts. Meanwhile袁although international AI cooperation has been fully carried out in China, it still has not established effective interflow and direct cooperation with some top experts, which include some leading AI experts. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10021248
Volume :
34
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Library & Information Science in Agriculture
Publication Type :
Academic Journal
Accession number :
155175185
Full Text :
https://doi.org/10.13998/j.cnki.issn1002-1248.21-0035