Yunxuan Li: h-index, Total Citations, and Citation Map
Yunxuan Li's h-index is 24 (38 i10-index, 23,936+ total citations across 42+ publications) according to Google Scholar as of July 2026. Yunxuan Li is affiliated with Google, California Institute of Technology.
Yunxuan Li is a researcher affiliated with Google, California Institute of Technology, specializing in Physics, Artificial Intelligence, Natural Language Processing. Their work has been cited 23,936 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yunxuan Li's Citation Metrics
Bibliometric impact based on 42 indexed publications.
- H-Index
- 24
- i10-Index
- 38
- Total Citations
- 23,936
- Citing Countries
- 66
As of July 2026.
Yunxuan Li has an h-index of 24 and 23,936 total citations across 42 publications, with research cited by institutions in 66 countries.
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Global Impact Map
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Gemini: a family of highly capable multimodal models
20239,714
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
8 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yunxuan Li's research
Yunxuan Li is a researcher in Physics, Artificial Intelligence and Natural Language Processing at Google, California Institute of Technology. Their work has been cited 23,936 times across 42 publications (h-index 24), according to Google Scholar.
Their most-cited work, “Gemini: a family of highly capable multimodal models” (2023), has accumulated 9,714 citations. Other influential works include “Scaling instruction-finetuned language models” (2024) with 6,232 citations and “Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities” (2025) with 3,589 citations.
Citations of Yunxuan Li'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.
