Renrui Zhang: h-index, Total Citations, and Citation Map
Renrui Zhang's h-index is 65 (146 i10-index, 26,441+ total citations across 248+ publications) according to Google Scholar as of July 2026. Renrui Zhang is affiliated with ByteDance Seed & MMLab & PKU.
Renrui Zhang is a researcher affiliated with ByteDance Seed & MMLab & PKU, specializing in various fields. Their work has been cited 26,441 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Renrui Zhang's Citation Metrics
Bibliometric impact based on 248 indexed publications.
- H-Index
- 65
- i10-Index
- 146
- Total Citations
- 26,441
- Citing Countries
- 31
As of July 2026.
Renrui Zhang has an h-index of 65 and 26,441 total citations across 248 publications, with research cited by institutions in 31 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Renrui Zhang's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
LLaVA-OneVision: Easy Visual Task Transfer
20242,954
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.
104 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed Clip-adapter, a feature adapter method that enhances vision-language models, establishing a widely adopted approach for efficient model adaptation.
The researcher developed LLaVA-OneVision, a framework enabling easy visual task transfer, which has become a highly cited foundation for independent research in multimodal AI.
The researcher developed Tip-Adapter, a training-free method for adapting CLIP to few-shot classification, establishing a highly cited, independent standard for efficient vision-language model adaptation.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Renrui Zhang's research
Renrui Zhang is a researcher at ByteDance Seed & MMLab & PKU. Their work has been cited 26,441 times across 248 publications (h-index 65), according to Google Scholar.
Their most-cited work, “LLaVA-OneVision: Easy Visual Task Transfer” (2024), has accumulated 2,954 citations. Other influential works include “Clip-adapter: Better vision-language models with feature adapters” (2021) with 2,207 citations and “Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification” (2022) with 1,591 citations.
Citations of Renrui Zhang's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
