Mingxing Tan Google Scholar: h-index, Total Citations, and Citation Map
Mingxing Tan has 89,204+ total citations according to Google Scholar as of November 2026. Mingxing Tan is affiliated with Waymo Research, Google Brain.
Mingxing Tan is a researcher affiliated with Waymo Research, Google Brain, specializing in AI & Machine Learning. Their work has been cited 89,204 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Mingxing Tan's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 89,204
- Citing Countries
- 3
As of November 2026.
Mingxing Tan has an h-index of 1 and 89,204 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
201936,577
Top Citing Countries
Top Citing Institutions
Visa 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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Mingxing Tan's research
Mingxing Tan is a researcher in AI & Machine Learning at Waymo Research, Google Brain. Their work has been cited 89,204 times across 1 publication, according to Google Scholar.
Their most-cited work, “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks” (2019), has accumulated 36,577 citations.
Citations of Mingxing Tan's research come primarily from China, United States and Mexico, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
