Recently, Stanford University released the list of the World's Top 2% Scientists 2020, in which Professor Wang Qingyuan, Expat Professor Abomohra, and Distinguished Research Fellow Shi Kaibo made it to the list. Specifically, Professor Wang Qingyuan was assessed for showing the career-long impact and annual impact while and Professor Abomohra and Research Fellow Shi Kaibo for showing the annual impact.

The list is published by Professor John P. A. Ioannidis' team at Stanford University and Mendeley Data of Elsevier. It is based on the Scopus database and selects the top 2% of the world's scientists based on their "career impact" and "annual impact" from nearly 7 million scientists based on a combination of citation counts, H-factor, HM-factor, and other indicators. The list is divided into 22 fields and 176 subfields.

In recent years, Chengdu University has vigorously developed the "talent strategy" with obvious effects, and the scientific research achievements have increased significantly, with the influence of scientific research continuously climbing. In the latest Nature Index list released in 2020, Chengdu University ranks 6th among the universities in Sichuan, 166th among the universities in China and 823rd among universities across the globle. Up to now, the university has a total of more than 30 papers selected as ESI highly cited and hot papers and has published bylined articles in international top academic journals such as Nature-Microbiology, New England Journal of Medicine, The Lancet, and German Applied Chemistry, with a total ESI citation frequency of more than 14,000 times. Since 2014, Wang Qingyuan has been selected as one of the "Highly Cited Scholars" in China for seven consecutive years, and Shi Kaibo's research paper was selected as one of the "100 Most Influential International Academic Papers in China in 2020".

News link: The above data come from Baas, Jeroen; Boyack, Kevin; Ioannidis, John P.A. (2020), "Data for" Update science-side author databases of standardized allocation indicators, "Mendeley Data, V2, doi: 10.17632 / btchxktzyw.2