Percy Liang: h-index, Total Citations, and Citation Map
Percy Liang's h-index is 139 (341 i10-index, 145,575+ total citations across 481+ publications) according to Google Scholar as of June 2026. Percy Liang is affiliated with Stanford University.
Percy Liang is a researcher affiliated with Stanford University, specializing in machine learning, natural language processing. Their work has been cited 145,575 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Percy Liang's Citation Metrics
Bibliometric impact based on 481 indexed publications.
- H-Index
- 139
- i10-Index
- 341
- Total Citations
- 145,575
- Citing Countries
- 61
As of June 2026.
Percy Liang has an h-index of 139 and 145,575 total citations across 481 publications, with research cited by institutions in 61 countries.
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We've mapped 5,000 of 145,575 citations for Percy Liang
We've shown the most-cited 5,000. Unlock the full crawl (142,115 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Squad: 100,000+ questions for machine comprehension of text
201611,786
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.
53 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 Percy Liang's research
Percy Liang is a researcher in machine learning and natural language processing at Stanford University. Their work has been cited 145,575 times across 481 publications (h-index 139), according to Google Scholar.
Their most-cited work, “Squad: 100,000+ questions for machine comprehension of text” (2016), has accumulated 11,786 citations. Other influential works include “Prefix-tuning: Optimizing continuous prompts for generation” (2021) with 7,135 citations and “Generative agents: Interactive simulacra of human behavior” (2023) with 5,689 citations.
Citations of Percy Liang'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.
