Scott Wen-tau Yih: h-index, Total Citations, and Citation Map
Scott Wen-tau Yih's h-index is 1 (1 i10-index, 66,807+ total citations across 1+ publications) according to Google Scholar as of June 2026. Scott Wen-tau Yih is affiliated with Meta FAIR.
Scott Wen-tau Yih is a researcher affiliated with Meta FAIR, specializing in AI & Machine Learning. Their work has been cited 66,807 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Scott Wen-tau Yih's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 66,807
- Citing Countries
- 6
As of June 2026.
Scott Wen-tau Yih has an h-index of 1 and 66,807 total citations across 1 publication, with research cited by institutions in 6 countries.
Global Impact Map
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Retrieval-augmented generation for knowledge-intensive nlp tasks
202019,541
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 Scott Wen-tau Yih's research
Scott Wen-tau Yih is a researcher in AI & Machine Learning at Meta FAIR. Their work has been cited 66,807 times across 1 publications, according to Google Scholar.
Their most-cited work, “Retrieval-augmented generation for knowledge-intensive nlp tasks” (2020), has accumulated 19,541 citations.
Citations of Scott Wen-tau Yih's research come primarily from United States, China and France, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
