Mark Chen: h-index, Total Citations, and Citation Map
Mark Chen's h-index is 38 (50 i10-index, 180,897+ total citations across 63+ publications) according to Google Scholar as of September 2026. Mark Chen is affiliated with Research Scientist, OpenAI.
Mark Chen is a researcher affiliated with Research Scientist, OpenAI, specializing in various fields. Their work has been cited 180,897 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Mark Chen's Citation Metrics
Bibliometric impact based on 63 indexed publications.
- H-Index
- 38
- i10-Index
- 50
- Total Citations
- 180,897
- Citing Countries
- 68
As of September 2026.
Mark Chen has an h-index of 38 and 180,897 total citations across 63 publications, with research cited by institutions in 68 countries.
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Global Impact Map
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Language models are few-shot learners
202074,502
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.
The researcher advanced the field by demonstrating that large-scale language models can perform complex tasks with minimal examples, establishing few-shot learning as a viable paradigm.
The researcher advanced the field by demonstrating that large-scale language models can perform complex tasks with minimal examples, establishing few-shot learning as a viable paradigm.
The researcher advanced the field of large language models by publishing the seminal technical report on GPT-4, establishing a foundational benchmark for multimodal AI capabilities.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Mark Chen's research
Mark Chen is a researcher at Research Scientist, OpenAI. Their work has been cited 180,897 times across 63 publications (h-index 38), according to Google Scholar.
Their most-cited work, “Language models are few-shot learners” (2020), has accumulated 74,502 citations. Other influential works include “Gpt-4 technical report” (2023) with 27,979 citations and “Hierarchical text-conditional image generation with clip latents” (2022) with 10,711 citations.
Citations of Mark Chen'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.
