Kai Chen Google Scholar: h-index, Total Citations, and Citation Map
Kai Chen's h-index is 75 (162 i10-index, 40,652+ total citations across 258+ publications) according to Google Scholar as of October 2026. Kai Chen is affiliated with Shanghai AI Laboratory.
Kai Chen is a researcher affiliated with Shanghai AI Laboratory, specializing in LLM, VLM, Computer Vision. Their work has been cited 40,652 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Kai Chen's Citation Metrics
Bibliometric impact based on 258 indexed publications.
- H-Index
- 75
- i10-Index
- 162
- Total Citations
- 40,652
- Citing Countries
- 64
As of October 2026.
Kai Chen has an h-index of 75 and 40,652 total citations across 258 publications, with research cited by institutions in 64 countries.
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Global Impact Map
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MMDetection: Open MMLab Detection Toolbox and Benchmark
20194,838
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 developed low-modulus biomimetic microgel particles capable of high hemoglobin loading, establishing a foundational approach for advanced biomaterial design.
The researcher advanced understanding of 310-ODS steel degradation mechanisms in supercritical water environments, providing critical data on corrosion and stress corrosion cracking susceptibility.
The researcher advanced the structural and rheological characterization of environment-sensitive hydrophobic alginate nanoparticles in aqueous solutions, establishing a foundational framework for understanding their behavior.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Kai Chen's research
Kai Chen is a researcher in LLM, VLM and Computer Vision at Shanghai AI Laboratory. Their work has been cited 40,652 times across 258 publications (h-index 75), according to Google Scholar.
Their most-cited work, “MMDetection: Open MMLab Detection Toolbox and Benchmark” (2019), has accumulated 4,838 citations. Other influential work includes “Mmbench: Is your multi-modal model an all-around player?” (2024) with 2,696 citations.
Citations of Kai 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.
