Huaiyang Zhong: h-index, Total Citations, and Citation Map
Huaiyang Zhong's h-index is 9 (8 i10-index, 209+ total citations across 24+ publications) according to Google Scholar as of May 2026. Huaiyang Zhong is affiliated with Assistant Professor, Virginia Tech.
Huaiyang Zhong is a researcher affiliated with Assistant Professor, Virginia Tech, specializing in various fields. Their work has been cited 209 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Huaiyang Zhong's Citation Metrics
Bibliometric impact based on 24 indexed publications.
- H-Index
- 9
- i10-Index
- 8
- Total Citations
- 209
- Citing Countries
- 47
As of May 2026.
Huaiyang Zhong has an h-index of 9 and 209 total citations across 24 publications, with research cited by institutions in 47 countries.
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Top Cited Works
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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.
12 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a methodological framework linking health-economic modeling with advanced reinforcement learning techniques to optimize treatment strategies for comorbid conditions in resource-limited settings.
The researcher developed cost-effectiveness modeling frameworks for hepatitis C testing and elimination, establishing a methodological foundation for public health policy in Georgia and Moldova.
The researcher developed a hierarchical modeling framework for seed variety yields to optimize future planting decisions, establishing a methodological standard for agricultural planning.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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