Li-Jia Li: 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 June 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
- 66
As of June 2026.
Li-Jia Li has an h-index of 45 and 128,141 total citations across 148 publications, with research cited by institutions in 66 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Li-Jia Li's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 128,141 citations for Li-Jia Li
We've shown the most-cited 5,000. Unlock the full crawl (124,517 more citations) to see every institution citing this scholar.
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.
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.
72 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)
Related Guides
Learn how to use citation maps for your research and visa applications.
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.
