On April 14th 2022, Elsevier released the the list of "Highly Cited Chinese Researcher" of 2021. This list uses Scopus, a global authoritative citation and index database, as the statistical source of scientific research achievements of Chinese researchers, and adopts the methodology developed by Shanghai Ranking Consultancy to analyze the performance of scientific research findings of Chinese researchers. Since its first launch in 2015, it has been released for the eighth time in 2021, and has been highly acclaimed by many media and scholars from home and abroad.

In 2021, there were 4,701 "highly cited Chinese scholars" from 523 universities, enterprises and scientific research institutions, covering 10 academic fields and 84 first-class disciplines of the Ministry of Education. Among them, there were 458 researchers from Chinese Academy of Sciences in the list, ranking the first among institutions. Among universities in Chinese mainland, Tsinghua University has 222 scholars in the list, ranking the first among universities, and Shanghai Jiao Tong University has 139 scholars in the list, ranking the fourth among universities.

This time, a total of 10 researchers from Shanghai Jiao Tong University were selected in the three first-class disciplines, i.e., Business Administration, Management Science and Engineering, and Applied Economics. Among them, the names from Antai College of Economics and Management (ACEM) included in "Highly Cited Chinese Researchers" of 2021 are as follows:

Applied Economics: Chen Gongmeng, Wu Wenfeng

Management Science and Engineering: Dong Ming

Business Administration: Zhu Qinghua, Zeng Saixing, Chen Fangruo, Liu Yi, Yin Haitao

In addition, Pan Jun and Zhu Ning, two researchers from Shanghai Advanced Institute of Finance, were also elected in the list of applied economics of "Highly Cited Chinese Researchers" of 2021.

It is reported that the basic data extraction of highly cited researchers has adopted the optimized and updated Elsevier and Ministry of Education first-class discipline classification mapping (covering 111 disciplines). This article-level mapping makes the data on discipline attribution and discipline performance of China researchers more intuitively showcase the academic research ecology aligned with China's discipline setup, as well as improves and scientifically and accurately describes the scientific research output of Chinese researchers, which effectively helps to sort out, analyze and study the results of citation of researchers, and also enables more researchers with outstanding performance in more specific areas to be acknowledged by more people.