Yonghui Wu: h-index, Total Citations, and Citation Map
Yonghui Wu's h-index is 85 (151 i10-index, 80,759+ total citations across 281+ publications) according to Google Scholar as of June 2026. Yonghui Wu is affiliated with Head of Research, ByteDance Seed.
Yonghui Wu is a researcher affiliated with Head of Research, ByteDance Seed, specializing in various fields. Their work has been cited 80,759 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yonghui Wu's Citation Metrics
Bibliometric impact based on 281 indexed publications.
- H-Index
- 85
- i10-Index
- 151
- Total Citations
- 80,759
- Citing Countries
- 64
As of June 2026.
Yonghui Wu has an h-index of 85 and 80,759 total citations across 281 publications, with research cited by institutions in 64 countries.
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Google's neural machine translation system: Bridging the gap between human and machine translation
201610,919
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.
78 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced neural machine translation and scalable deep learning infrastructure, bridging human-machine translation gaps and enabling efficient training of giant models.
The researcher pioneered the Gemini family of multimodal models, establishing a foundational framework for high-capability AI that evolved to support massive context windows and advanced agentic reasoning.
The researcher developed a novel minimum spanning tree algorithm for constructing efficient and accurate genetic linkage maps, establishing a foundational computational method in genetics.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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