The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wen Li sits on this spectrum.
This scientist: 77 publications — 3rd percentile
3% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wen Li sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Wen Li is a researcher affiliated with the University of Electronic Science and Technology of China. Their work primarily spans the domain of computer science, with a concentration on computer vision and pattern recognition, artificial intelligence, and computational mechanics. Their research also touches on molecular biology and accounting through interdisciplinary applications.
Their publication record includes contributions to several prominent venues. Frequent publication outlets include arXiv (Cornell University), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Circuits and Systems for Video Technology, International Journal of Computer Vision, and IEEE Transactions on Multimedia.
Wen Li's recent notable papers include:
The fields of study central to Wen Li's research are reinforced by their work in various specialized topics. Notable main topics of their work include:
Collaborations form an important part of Wen Li's research network. Frequent co-authors include:
Wen Li's academic contributions are concentrated in computer science disciplines with a strong emphasis on computer vision and artificial intelligence. Their research incorporates both theoretical and applied aspects including image synthesis, neural networks, and domain adaptation techniques. Their published works reflect a recurring engagement with multi-view representation learning, advanced network compression strategies, and data imbalance solutions.
Yuhua Chen;Wen Li;Christos Sakaridis;Dengxin Dai
Muhammad Ghifary;W. Bastiaan Kleijn;Mengjie Zhang;David Balduzzi
Weichen Zhang;Wanli Ouyang;Wen Li;Dong Xu
Wen Li;Lixin Duan;Dong Xu;Ivor W. Tsang
Limin Wang;Wei Li;Luc Van Gool
Wen Li;Limin Wang;Wei Li;Eirikur Agustsson
Rui Gong;Wen Li;Yuhua Chen;Luc Van Gool
Yuhua Chen;Wen Li;Luc Van Gool
Haoliang Li;Wen Li;Hong Cao;Shiqi Wang
Zhen Cui;Wen Li;Dong Xu;Shiguang Shan
Yuhua Chen;Wen Li;Xiaoran Chen;Luc Van Gool
Zheng Xu;Wen Li;Li Niu;Dong Xu
Yan Yan;Feiping Nie;Wen Li;Chenqiang Gao
Unknown
Wen Li;Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang
Wen Li;Zheng Xu;Dong Xu;Dengxin Dai
Jiqing Wu;Zhiwu Huang;Dinesh Acharya;Wen Li
Xinxing Xu;Wen Li;Dong Xu
Yuhua Chen;Haoran Wang;Wen Li;Christos Sakaridis
Yuguang Yan;Wen Li;Hanrui Wu;Huaqing Min
Lixin Duan;Wen Li;Ivor Wai-Hung Tsang;Dong Xu
Lin Chen;Wen Li;Dong Xu
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 38
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