Quoc V. Le Google Scholar: h-index, Total Citations, and Citation Map
Quoc V. Le's h-index is 152 (386 i10-index, 481,893+ total citations across 480+ publications) according to Google Scholar as of November 2026. Quoc V. Le is affiliated with Co-founder, Discovery Loop.
Quoc V. Le is a researcher affiliated with Co-founder, Discovery Loop, specializing in AI & Machine Learning. Their work has been cited 481,893 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Quoc V. Le's Citation Metrics
Bibliometric impact based on 480 indexed publications.
- H-Index
- 152
- i10-Index
- 386
- Total Citations
- 481,893
- Citing Countries
- 81
As of November 2026.
Quoc V. Le has an h-index of 152 and 481,893 total citations across 480 publications, with research cited by institutions in 81 countries.
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Chain-of-thought prompting elicits reasoning in large language models
202240,893
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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 Quoc V. Le's research
Quoc V. Le is a researcher in AI & Machine Learning at Co-founder, Discovery Loop. Their work has been cited 481,893 times across 480 publications (h-index 152), according to Google Scholar.
Their most-cited work, “Chain-of-thought prompting elicits reasoning in large language models” (2022), has accumulated 40,893 citations. Other influential works include “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks” (2019) with 36,695 citations and “Sequence to sequence learning with neural networks” (2014) with 33,138 citations.
Citations of Quoc V. Le's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
