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 July 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
- 77
As of July 2026.
Yonghui Wu has an h-index of 85 and 80,759 total citations across 281 publications, with research cited by institutions in 77 countries.
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Global Impact Map
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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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About Yonghui Wu's research
Yonghui Wu is a researcher at Head of Research, ByteDance Seed. Their work has been cited 80,759 times across 281 publications (h-index 85), according to Google Scholar.
Their most-cited work, “Google's neural machine translation system: Bridging the gap between human and machine translation” (2016), has accumulated 10,919 citations. Other influential works include “Gemini: a family of highly capable multimodal models” (2023) with 9,105 citations and “Conformer: Convolution-augmented transformer for speech recognition” (2020) with 5,210 citations.
Citations of Yonghui Wu's research come primarily from United States, China 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.
