Haomiao Jin: h-index, Total Citations, and Citation Map
Haomiao Jin's h-index is 19 (30 i10-index, 1,029+ total citations across 81+ publications) according to Google Scholar as of June 2026. Haomiao Jin is affiliated with Senior Lecturer in Health Data Sciences, University of Surrey.
Haomiao Jin is a researcher affiliated with Senior Lecturer in Health Data Sciences, University of Surrey, specializing in Health Data Sciences, Health Statistics, Aging. Their work has been cited 1,029 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Haomiao Jin's Citation Metrics
Bibliometric impact based on 81 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 19
- i10-Index
- 30
- Total Citations
- 1,029
- Citing Countries
- 23
As of June 2026.
Haomiao Jin has an h-index of 19 and 1,029 total citations across 81 publications, with research cited by institutions in 23 countries.
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Global Impact Map
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Estimating influences of unemployment and underemployment on mental health during the COVID-19 pandemic: who suffers the most?
2021100
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.
88 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for analyzing how unemployment and underemployment impact mental health during the pandemic, identifying vulnerable populations through seminal and subsequent longitudinal studies.
The researcher produced a seminal 2016 report quantifying the Latino Alzheimer's crisis, establishing a critical evidence base that has been independently cited nearly 100 times.
The researcher developed a clinical forecasting model to predict comorbid depression in diabetes patients, providing a data-driven foundation for depression screening policy making.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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