Yi-Ou Li: h-index, Total Citations, and Citation Map
Yi-Ou Li's h-index is 17 (22 i10-index, 3,066+ total citations across 5+ publications) according to Google Scholar as of May 2026. Yi-Ou Li is affiliated with UCSF.
Yi-Ou Li is a researcher affiliated with UCSF, specializing in ICA. Their work has been cited 3,066 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yi-Ou Li's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 17
- i10-Index
- 22
- Total Citations
- 3,066
- Citing Countries
- 14
As of May 2026.
Yi-Ou Li has an h-index of 17 and 3,066 total citations across 5 publications, with research cited by institutions in 14 countries.
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Global Impact Map
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Top Cited Works
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Estimating the number of independent components for functional magnetic resonance imaging data
20071,059
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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 a method for estimating the number of independent components in fMRI data, a foundational technique widely adopted by independent scholars in neuroimaging.
The researcher developed a canonical correlation analysis framework for fusing biomedical imaging modalities to detect associative networks in schizophrenia, establishing a foundational method for multimodal neuroimaging analysis.
The researcher developed a joint blind source separation method using multi-set canonical correlation analysis, establishing a foundational algorithmic approach in signal processing.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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