Wei-Hsin Chen: h-index, Total Citations, and Citation Map
Wei-Hsin Chen's h-index is 128 (721 i10-index, 68,295+ total citations across 1,000+ publications) according to Google Scholar as of June 2026. Wei-Hsin Chen is affiliated with Department of Aeronautics and Astronautics, National Cheng Kung University.
Wei-Hsin Chen is a researcher affiliated with Department of Aeronautics and Astronautics, National Cheng Kung University, specializing in Hydrogen energy, Bioenergy, Clean energy. Their work has been cited 68,295 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Wei-Hsin Chen's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 8 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 128
- i10-Index
- 721
- Total Citations
- 68,295
- Citing Countries
- 74
As of June 2026.
Wei-Hsin Chen has an h-index of 128 and 68,295 total citations across 1000 publications, with research cited by institutions in 74 countries.
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We've mapped 5,000 of 68,295 citations for Wei-Hsin Chen
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Global Impact Map
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A draft sequence of the rice genome (Oryza sativa L. ssp. indica)
20024,241
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.
955 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for biomass torrefaction and densification, significantly advancing the scientific understanding of biomass processing technologies through highly cited, independent scholarly reviews.
The researcher produced a seminal draft sequence of the rice genome, establishing a foundational genomic resource that has been extensively adopted by the independent scientific community.
The researcher pioneered the application of convolutional neural networks for P300 detection, establishing a foundational deep learning approach for brain-computer interface signal processing.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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