Pan Zhang: h-index, Total Citations, and Citation Map
Pan Zhang's h-index is 74 (330 i10-index, 24,519+ total citations across 619+ publications) according to Google Scholar as of July 2026. Pan Zhang is affiliated with New York university.
Pan Zhang is a researcher affiliated with New York university, specializing in Perceptual learning. Their work has been cited 24,519 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Pan Zhang's Citation Metrics
Bibliometric impact based on 619 indexed publications.
- H-Index
- 74
- i10-Index
- 330
- Total Citations
- 24,519
- Citing Countries
- 70
As of July 2026.
Pan Zhang has an h-index of 74 and 24,519 total citations across 619 publications, with research cited by institutions in 70 countries.
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We've mapped 5,000 of 24,519 citations for Pan Zhang
We've shown the most-cited 5,000. Unlock the full crawl (21,330 more citations) to see every institution citing this scholar.
Global Impact Map
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Sharegpt4v: Improving large multi-modal models with better captions
20241,247
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.
983 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced multi-modal AI by developing ShareGPT4V for improved captions and extending these methods to video embeddings and retrieval-augmented recognition.
The researcher pioneered the experimental analysis of foam-filled corrugated sandwich panels under blast loading, establishing a foundational framework for advanced blast-resistant structural design.
The researcher advanced spectral methods for clustering sparse networks, establishing a foundational framework that has been widely adopted by independent scholars.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Pan Zhang's research
Pan Zhang is a researcher in Perceptual learning at New York university. Their work has been cited 24,519 times across 619 publications (h-index 74), according to Google Scholar.
Their most-cited work, “Sharegpt4v: Improving large multi-modal models with better captions” (2024), has accumulated 1,247 citations. Other influential works include “Are we on the right way for evaluating large vision-language models?” (2024) with 979 citations and “Spectral redemption in clustering sparse networks” (2013) with 832 citations.
Citations of Pan Zhang's research come primarily from China, United States and Hong Kong, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
