Yan Chu: h-index, Total Citations, and Citation Map
Yan Chu's h-index is 7 (5 i10-index, 230+ total citations across 26+ publications) according to Google Scholar as of May 2026. Yan Chu is affiliated with Amgen, UTHealth.
Yan Chu is a researcher affiliated with Amgen, UTHealth, specializing in various fields. Their work has been cited 230 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yan Chu's Citation Metrics
Bibliometric impact based on 26 indexed publications.
- H-Index
- 7
- i10-Index
- 5
- Total Citations
- 230
- Citing Countries
- 43
As of May 2026.
Yan Chu has an h-index of 7 and 230 total citations across 26 publications, with research cited by institutions in 43 countries.
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Global Impact Map
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Top Cited Works
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Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework
202377
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.
11 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher conducted a comprehensive analysis of severe lymphopenia during chemoradiation for esophageal cancer, comparing proton beam therapy against intensity-modulated radiation in a randomized phase 2B trial.
The researcher developed a deep learning framework for non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signals, establishing a foundational approach in this domain.
The researcher developed a machine learning framework to predict sports-related concussion recovery trajectories using clinical data, establishing a novel computational approach for personalized prognosis in sports medicine.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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