Deep Residual Learning for Image Recognition
2016 • 320031 Citations
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Kaiming He
Kaiming He is a researcher affiliated with Associate Professor, EECS, MIT, specializing in Computer Vision & AI. Their work has been cited 813,081 times. This profile visualizes their global influence, highlighting strong citation networks in US.
Computer Vision & AI
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Kaiming He's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 813,081
- Citing Countries
- 1
As of April 2026.
Kaiming He has an h-index of 1 and 813,081 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
United States(US)
8Top Citing Institutions(Limited)
Massachusetts Institute of Technology
4Northeastern University
2California Institute of Technology
2Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (8 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Ziming Liu
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #2
Sachin Vaidya
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #3
Marin Soljačić
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #4
Max Tegmark
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #5
Yixuan Wang
7.0California Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #6
Thomas Y. Hou
7.0California Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #7
James Halverson
5.0Northeastern University
United States· Cited your work 1 time
Independent - #8
Fabian Ruehle
5.0Northeastern University
United States· Cited your work 1 time
Independent
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
· cites “Deep Residual Learning for Image Recognition”
· cites “Deep Residual Learning for Image Recognition”
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle + 4 more
International Conference on Learning Representations (ICLR 2025)· cites “Deep Residual Learning for Image Recognition”
· cites “Deep Residual Learning for Image Recognition”
· cites “Deep Residual Learning for Image Recognition”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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