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6 CCST Scholars Named as 2020 Highly Cited Chinese Researchers

By communication team

Elseiver recently released the official list for 2020 Highly Cited Chinese Researchers. Six members of College of Computer Science and Technology, including CAE Academician Chun Chen, Prof. Deng Cai, Prof. Shuiguang Deng, Prof. Xiaofei He, Prof. Mingli Song, and Prof. Kun Zhou (in alphabetical order) were among the list.


The selection criteria for Highly Cited Scholars is highly consistent and objective. It is carefully designed to reflect the research influence and contributions of scholars in a given research fields. There were a total of 4,023 scholars entering the list this year. They were from 373 institutions including 296 universities, enterprises and research institutions. A total of 160 scholars from Zhejiang University have made the list, the number of which is ranked the third among domestic Chinese universities.

Software Engineering

Chun Chen

Academician of the Chinese Academy of Engineering, professor and doctoral supervisor. Main research area is blockchain.


Computer Science and Technology

Deng Cai

Professor and doctoral supervisor. Main research area is machine learning.

Shuiguang Deng

Professor and doctoral supervisor. Main research areas are service computing, edge computing, process management, and big data.

Mingli Song

Professor and doctoral supervisor. senior IEEE member, ACM professional member, Senior CSIG member, CCF member, and deputy director of the MOE-Microsoft Key Laboratory of Visual Perception of Zhejiang University. Main research areas include image information processing, machine vision and pattern recognition, visual big data, embedded computer vision, and natural human-computer interaction.

Kun Zhou

Professor and doctoral supervisor, ACM Fellow, IEEE Fellow, director of the State Key Lab of CAD&CG. Main research fields are Computer graphics, computer vision, human-computer interaction and virtual reality.

The College of Computer Science and Technology educates future leaders in computer science with interdisciplinary innovation capabilities to address global challenges in the AI2.0 world.