Jia Li: h-index, Total Citations, and Citation Map
Jia Li's h-index is 4 (1 i10-index, 47+ total citations across 9+ publications) according to Google Scholar as of May 2026. Jia Li is affiliated with University of Texas at Dallas.
Jia Li is a researcher affiliated with University of Texas at Dallas, specializing in Artificial intelligence, Audio Visual understanding, Out of Distribution Detection. Their work has been cited 47 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jia Li's Citation Metrics
Bibliometric impact based on 9 indexed publications. Of these, 7 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 4
- i10-Index
- 1
- Total Citations
- 47
- Citing Countries
- 10
As of May 2026.
Jia Li has an h-index of 4 and 47 total citations across 9 publications, with research cited by institutions in 10 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Cited Works
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Segment every out-of-distribution object
202427
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.
18 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered a framework for segmenting out-of-distribution objects, establishing a foundational approach that has been widely adopted and synthesized by the broader computer vision community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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