Li-Jia Li Google Scholar: h-index, Total Citations, and Citation Map
Li-Jia Li's h-index is 45 (78 i10-index, 128,141+ total citations across 148+ publications) according to Google Scholar as of October 2026. Li-Jia Li is affiliated with Stanford University.
Li-Jia Li is a researcher affiliated with Stanford University, specializing in AI, Multimodal, CV. Their work has been cited 128,141 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Li-Jia Li's Citation Metrics
Bibliometric impact based on 148 indexed publications.
- H-Index
- 45
- i10-Index
- 78
- Total Citations
- 128,141
- Citing Countries
- 74
As of October 2026.
Li-Jia Li has an h-index of 45 and 128,141 total citations across 148 publications, with research cited by institutions in 74 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Imagenet: A large-scale hierarchical image database
200995,925
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.
34 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 Li-Jia Li's research
Li-Jia Li is a researcher in AI, Multimodal and CV at Stanford University. Their work has been cited 128,141 times across 148 publications (h-index 45), according to Google Scholar.
Their most-cited work, “Imagenet: A large-scale hierarchical image database” (2009), has accumulated 95,925 citations. Other influential works include “Visual genome: Connecting language and vision using crowdsourced dense image annotations” (2017) with 7,622 citations and “Progressive neural architecture search” (2018) with 2,809 citations.
Citations of Li-Jia Li'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.
