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 Li Erran Li sits on this spectrum.
This scientist: 80 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 Li Erran Li sits on this spectrum.
This scientist: 36 D-Index — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Li Erran Li is a researcher affiliated with Amazon in the United States, specializing in computer science with a strong focus on computer vision and artificial intelligence. Their contributions mainly pertain to advanced neural network applications, multimodal machine learning, and autonomous vehicle technology.
Their work covers several main fields and subfields of study, notably:
Li Erran Li's research topics include:
Frequently collaborating with other scholars, Li has coauthored multiple publications with Min Bai, Zhuofan Xia, Xuran Pan, Gao Huang, and Shiji Song.
Their recent published papers highlight contributions primarily to computer vision and autonomous driving, including:
Li Erran Li's research has appeared across various venues, with multiple publications in arXiv (Cornell University), as well as appearances in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the International Journal of Computer Vision, and the Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.
Throughout their career, Li has been recognized by professional organizations, having been named an ACM Fellow in 2017 for contributions to the design and analysis of wireless networks, impacting architectures, throughput, and analytics.
They were also designated as an ACM Distinguished Member in 2014.
Aditya Gudipati;Daniel Perry;Li Erran Li;Sachin Katti
Li Erran Li;Z. Morley Mao;Jennifer Rexford
Xin Jin;Li Erran Li;Laurent Vanbever;Jennifer Rexford
Xuran Pan;Zhuofan Xia;Shiji Song;Li Erran Li
Shuo Cheng;Zexiang Xu;Shilin Zhu;Zhuwen Li
Li Erran Li;Thomas Woo
Li Erran Li;Thomas Woo
M.X. Goemans;Li Li;V.S. Mirrokni;M. Thottan
Jin Cao;Li Erran Li;Tian Bu;Susan Wu Sanders
Paramvir Bahl;Richard Y. Han;Li Erran Li;Mahadev Satyanarayanan
Li Erran Li;Thomas Woo
Zixia Huang;Chao Mei;Li Erran Li;Thomas Woo
Magnús M. Halldórsson;Joseph Y. Halpern;Li Erran Li;Vahab S. Mirrokni
Xiufeng Xie;Xinyu Zhang;Swarun Kumar;Li Erran Li
Magnús M. Halldórsson;Joseph Y. Halpern;Li (Erran) Li;Vahab S. Mirrokni
Swarun Kumar;Ezzeldin Hamed;Dina Katabi;Li Erran Li
Kun Qian;Shilin Zhu;Xinyu Zhang;Li Erran Li
Keqiang He;Junaid Khalid;Aaron Gember-Jacobson;Sourav Das
Yan Wang;Xiangyu Chen;Yurong You;Li Erran Li
Sheng Zhong;Li Erran Li;Yanbin Grace Liu;Yang Richard Yang
Nan Jiang;Jin Cao;Yu Jin;Li Erran Li
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