Lilian Weng: h-index, Total Citations, and Citation Map
Lilian Weng's h-index is 35 (49 i10-index, 51,130+ total citations across 61+ publications) according to Google Scholar as of July 2026. Lilian Weng is affiliated with Thinking Machines.
Lilian Weng is a researcher affiliated with Thinking Machines, specializing in Reinforcement learning, AI safety, Robotics. Their work has been cited 51,130 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Lilian Weng's Citation Metrics
Bibliometric impact based on 61 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 35
- i10-Index
- 49
- Total Citations
- 51,130
- Citing Countries
- 77
As of July 2026.
Lilian Weng has an h-index of 35 and 51,130 total citations across 61 publications, with research cited by institutions in 77 countries.
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Global Impact Map
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GPT-4 Technical Report
202330,528
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.
811 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 Lilian Weng's research
Lilian Weng is a researcher in Reinforcement learning, AI safety and Robotics at Thinking Machines. Their work has been cited 51,130 times across 61 publications (h-index 35), according to Google Scholar.
Their most-cited work, “GPT-4 Technical Report” (2023), has accumulated 30,528 citations. Other influential works include “Gpt-4o system card” (2024) with 6,214 citations and “Learning dexterous in-hand manipulation” (2020) with 2,513 citations.
Citations of Lilian Weng's research come primarily from China, United States 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.
