Shunyu Yao Google Scholar: h-index, Total Citations, and Citation Map
Shunyu Yao's h-index is 28 (33 i10-index, 41,245+ total citations across 50+ publications) according to Google Scholar as of October 2026. Shunyu Yao is affiliated with Princeton University.
Shunyu Yao is a researcher affiliated with Princeton University, specializing in Language Agent, Digital Automation, Artificial Intelligence. Their work has been cited 41,245 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shunyu Yao's Citation Metrics
Bibliometric impact based on 50 indexed publications.
- H-Index
- 28
- i10-Index
- 33
- Total Citations
- 41,245
- Citing Countries
- 65
As of October 2026.
Shunyu Yao has an h-index of 28 and 41,245 total citations across 50 publications, with research cited by institutions in 65 countries.
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Global Impact Map
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ReAct: Synergizing reasoning and acting in language models
202213,629
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
84 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered methods for synergizing reasoning and action generation in language models, establishing a foundational framework for interactive AI agents in text-based environments.
The researcher established a foundational framework for cognitive architectures in language agents, subsequently extending this work to address complex programming tasks and autonomous self-improving computer agents.
The researcher advanced text-based AI agents by integrating semantic understanding with strategic control, a framework validated by high independent citation rates across core and follow-up studies.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Shunyu Yao's research
Shunyu Yao is a researcher in Language Agent, Digital Automation and Artificial Intelligence at Princeton University. Their work has been cited 41,245 times across 50 publications (h-index 28), according to Google Scholar.
Their most-cited work, “ReAct: Synergizing reasoning and acting in language models” (2022), has accumulated 13,629 citations. Other influential works include “ReAct: Synergizing reasoning and acting in language models” (2022) with 13,207 citations and “Tree of thoughts: Deliberate problem solving with large language models” (2023) with 8,111 citations.
Citations of Shunyu Yao'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.
