Lu Yin: h-index, Total Citations, and Citation Map
Lu Yin's h-index is 40 (53 i10-index, 8,467+ total citations across 3+ publications) according to Google Scholar as of May 2026. Lu Yin is affiliated with Persperion Diagnostics, University of California San Diego.
Lu Yin is a researcher affiliated with Persperion Diagnostics, University of California San Diego, specializing in Electrochemistry, Wearable Sensors, Soft Electronics. Their work has been cited 8,467 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Lu Yin's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 40
- i10-Index
- 53
- Total Citations
- 8,467
- Citing Countries
- 14
As of May 2026.
Lu Yin has an h-index of 40 and 8,467 total citations across 3 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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A wearable cardiac ultrasound imager
2023636
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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 pioneered wearable epidermal patches for simultaneous hemodynamic and metabolic monitoring, subsequently advancing the field with a wearable cardiac ultrasound imager.
The researcher developed an integrated wearable microneedle array enabling continuous, multi-biomarker monitoring in interstitial fluid, establishing a foundational platform for non-invasive physiological sensing.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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