Branding/Logomark minus Citation Combined Shape Icon/Bookmark-empty Icon/Copy Icon/Collection Icon/Close Copy 7 no author result Created with Sketch. Icon/Back Created with Sketch. Match!
Lili Yuan
Chinese Academy of Sciences
3Publications
1H-index
2Citations
Publications 3
Newest
Published on Feb 14, 2019
Lili Yuan1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences),
Jianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences)
+ 2 AuthorsDengsheng Wu10
Estimated H-index: 10
(CAS: Chinese Academy of Sciences)
Meta-syntheses from experts’ judgements and quantitative metrics are two main forms of evaluation. But they both have limitations. This paper constructs a framework for mapping the evaluation results between quantitative metrics and experts’ judgements such that they may be solved. In this way, the weights of metrics in quantitative evaluation are objectively obtained, and the validity of the results can be testified. Weighted average percentile (WAP) is employed to aggregate different experts’ ...
Source Cite
Published on Nov 1, 2018in Journal of Informetrics 3.48
Dengsheng Wu (CAS: Chinese Academy of Sciences), Lili Yuan1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences)
+ 1 AuthorsJianping Li (CAS: Chinese Academy of Sciences)
Abstract The inequality in research funding is an important issue, in which the measurement of inequality is the basis. The literature has mostly investigated the inequality in research funding by providing overall values of inequality but has rarely explored this topic through the internal structure of the overall inequality. In this paper, a three-stage nested Theil index is employed to decompose the overall inequality in research funding into the between and within components. Moreover, a dec...
Source Cite
Published on Jul 1, 2018in Scientometrics 2.17
Lili Yuan1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences),
Yanni Hao1
Estimated H-index: 1
(National Natural Science Foundation of China)
+ 3 AuthorsDengsheng Wu10
Estimated H-index: 10
(CAS: Chinese Academy of Sciences)
International research collaboration is vital to the success of scientific development of China, and the identification of collaboration partners is the basic unit of collaboration. While many researchers have investigated international research collaboration using publication data, grant data have rarely been used. This paper explores the international research collaboration partners of China from a new data perspective, based on grant data. Using data from the National Natural Science Foundati...
2 Citations Source Cite
1