EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
2019 • 36695 Citations
Published in 36th International Conference on Machine Learning (ICML 2019)
Quoc V. Le
Quoc V. Le is a researcher affiliated with Research Scientist, Google, specializing in AI & Machine Learning. Their work has been cited 431,891 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
AI & Machine Learning
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Quoc V. Le's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 431,891
- Citing Countries
- 1
As of April 2026.
Quoc V. Le has an h-index of 1 and 431,891 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)
China(CN)
8Top Citing Institutions(Limited)
University of Chinese Academy of Sciences
7Peng Cheng Laboratory
1Huawei
1Visa 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
Yue Liu
7.0University of Chinese Academy of Sciences
China· Cited your work 1 time
IndependentTop institution - #2
Yunjie Tian
7.0University of Chinese Academy of Sciences
China· Cited your work 1 time
IndependentTop institution - #3
Yuzhong Zhao
7.0University of Chinese Academy of Sciences
China· Cited your work 1 time
IndependentTop institution - #4
Hongtian Yu
7.0University of Chinese Academy of Sciences
China· Cited your work 1 time
IndependentTop institution - #5
Yunfan Liu
7.0University of Chinese Academy of Sciences
China· Cited your work 1 time
IndependentTop institution - #6
Qixiang Ye
7.0University of Chinese Academy of Sciences
China· Cited your work 1 time
IndependentTop institution - #7
Jianbin Jiao
7.0University of Chinese Academy of Sciences
China· Cited your work 1 time
IndependentTop institution - #8
Yaowei Wang
5.0Peng Cheng Laboratory
China· 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
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Google Research). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”
· cites “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”
Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu + 5 more
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)· cites “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”
· cites “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”
· cites “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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