Yanqi Zhou: h-index, Total Citations, and Citation Map
Yanqi Zhou's h-index is 35 (48 i10-index, 45,774+ total citations across 87+ publications) according to Google Scholar as of July 2026.
Yanqi Zhou is a researcher affiliated with their institution, specializing in Scaling LLMs, Co-design, Synthetic Data. Their work has been cited 45,774 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yanqi Zhou's Citation Metrics
Bibliometric impact based on 87 indexed publications.
- H-Index
- 35
- i10-Index
- 48
- Total Citations
- 45,774
- Citing Countries
- 67
As of July 2026.
Yanqi Zhou has an h-index of 35 and 45,774 total citations across 87 publications, with research cited by institutions in 67 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Exploring the limits of transfer learning with a unified text-to-text transformer
202032,421
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.
280 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 Yanqi Zhou's research
Yanqi Zhou is a researcher working on Scaling LLMs, Co-design and Synthetic Data. Their work has been cited 45,774 times across 87 publications (h-index 35), according to Google Scholar.
Their most-cited work, “Exploring the limits of transfer learning with a unified text-to-text transformer” (2020), has accumulated 32,421 citations. Other influential works include “Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities” (2025) with 3,113 citations and “Lamda: Language models for dialog applications” (2022) with 2,301 citations.
Citations of Yanqi Zhou'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.
