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 Yuan-Fang Wang sits on this spectrum.
This scientist: 132 publications — 19th percentile
19% 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 Yuan-Fang Wang sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Yuan-Fang Wang is affiliated with the University of California, Santa Barbara in the United States. Their research spans multiple disciplines, primarily within Computer Science, Engineering, and Medicine.
Their work includes a diverse range of topics such as HIV/AIDS drug development and treatment, HIV research and treatment, video surveillance and tracking methods, natural language processing techniques, sports analytics and performance, sports performance and training, and domain adaptation and few-shot learning.
The scientist has contributed extensively to subfields including Computer Vision and Pattern Recognition, Organic Chemistry, Artificial Intelligence, Mechanical Engineering, and Materials Chemistry.
Among their recent papers are:
Frequent coauthors in their research include Haotian Xia, Jinsheng Xiao, Rhys Tracy, Weining Shen, and Arun K. Ghosh. Collaborations with these researchers account for multiple joint publications.
Yuan-Fang Wang has published in various well-known venues. The most frequent publication venues are arXiv (Cornell University), IEEE Transactions on Intelligent Transportation Systems, Journal of Iron and Steel Research International, PubMed, and Expert Systems with Applications.
Xin Wang;Qiuyuan Huang;Asli Celikyilmaz;Jianfeng Gao
Ankur Jain;Edward Y. Chang;Yuan-Fang Wang
Xin Wang;Jiawei Wu;Junkun Chen;Lei Li
Chade-Meng Tan;Yuan-Fang Wang;Chan-Do Lee
S. Chandrasekaran;B. S. Manjunath;Y. F. Wang;J. Winkeler
Da Zhang;Xiyang Dai;Xin Wang;Yuan-Fang Wang
Xin Wang;Wenhu Chen;Jiawei Wu;Yuan-Fang Wang
Wei Niu;Jiao Long;Dan Han;Yuan-Fang Wang
Jiangyuan Mei;Meizhu Liu;Yuan-Fang Wang;Huijun Gao
Xin Wang;Geoffrey Oxholm;Da Zhang;Yuan-Fang Wang
Xin Wang;Wenhu Chen;Yuan-Fang Wang;William Yang Wang
R. Alferez;Yuan-Fang Wang
Y. F. Wang;A. Mitiche;J. K. Aggarwal
Da Zhang;Hamid Maei;Xin Wang;Yuan-Fang Wang
Gang Wu;Yi Wu;Long Jiao;Yuan-Fang Wang
Ken Prayoon Cheng;Edward Y Chang;Yuan Fang Wang
DongKeun Kim;Yuan-Fang Wang
Darrin R. Uecker;Cheolwhan Lee;Y.F. Wang;Yulun Wang
Y F Wang;J K Aggarwal
Tolga Can;Chao-I Chen;Yuan-Fang Wang
Alejandro P. Buchmann;Oliver Günther;Terence R. Smith;Yuan-Fang Wang
Y. F. Wang;M. J. Magee;J. K. Aggarwal
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 9
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Intel (United States)
French Institute for Research in Computer Science and Automation - INRIA
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United States Geological Survey
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