Kai Li Google Scholar: h-index, Total Citations, and Citation Map
Kai Li's h-index is 102 (251 i10-index, 150,082+ total citations across 417+ publications) according to Google Scholar as of October 2026. Kai Li is affiliated with Princeton University.
Kai Li is a researcher affiliated with Princeton University, specializing in Operating systems, parallel computing, computer architecture. Their work has been cited 150,082 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Kai Li's Citation Metrics
Bibliometric impact based on 417 indexed publications.
- H-Index
- 102
- i10-Index
- 251
- Total Citations
- 150,082
- Citing Countries
- 67
As of October 2026.
Kai Li has an h-index of 102 and 150,082 total citations across 417 publications, with research cited by institutions in 67 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
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Imagenet: A large-scale hierarchical image database
200995,685
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.
69 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Kai Li's research
Kai Li is a researcher in Operating systems, parallel computing and computer architecture at Princeton University. Their work has been cited 150,082 times across 417 publications (h-index 102), according to Google Scholar.
Their most-cited work, “Imagenet: A large-scale hierarchical image database” (2009), has accumulated 95,685 citations. Other influential works include “Image super-resolution using very deep residual channel attention networks” (2018) with 7,370 citations and “The PARSEC benchmark suite: Characterization and architectural implications” (2008) with 4,734 citations.
Citations of Kai Li'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.
