NAN DU Google Scholar: h-index, Total Citations, and Citation Map
NAN DU's h-index is 52 (105 i10-index, 40,192+ total citations across 182+ publications) according to Google Scholar as of October 2026. NAN DU is affiliated with OpenAI.
NAN DU is a researcher affiliated with OpenAI, specializing in Giant models and efficient AI. Their work has been cited 40,192 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
NAN DU's Citation Metrics
Bibliometric impact based on 182 indexed publications.
- H-Index
- 52
- i10-Index
- 105
- Total Citations
- 40,192
- Citing Countries
- 65
As of October 2026.
NAN DU has an h-index of 52 and 40,192 total citations across 182 publications, with research cited by institutions in 65 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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React: Synergizing reasoning and acting in language models
202210,393
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.
68 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced language model capabilities by establishing foundational fine-tuning methods and extending them into reasoning, acting, and large-scale architecture designs.
The researcher established foundational methods for community detection in large-scale social networks, a seminal contribution evidenced by high independent citation rates.
The researcher advanced collaborative filtering by integrating tagging behaviors into recommendation systems, establishing a foundational approach widely adopted by independent scholars.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About NAN DU's research
NAN DU is a researcher in Giant models and efficient AI at OpenAI. Their work has been cited 40,192 times across 182 publications (h-index 52), according to Google Scholar.
Their most-cited work, “React: Synergizing reasoning and acting in language models” (2022), has accumulated 10,393 citations. Other influential works include “Palm: Scaling language modeling with pathways” (2023) with 9,424 citations and “Finetuned language models are zero-shot learners” (2021) with 5,933 citations.
Citations of NAN DU'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.
