Yao Zhao: h-index, Total Citations, and Citation Map
Yao Zhao's h-index is 97 (759 i10-index, 68,508+ total citations across 1,000+ publications) according to Google Scholar as of September 2026. Yao Zhao is affiliated with Supply Chain Management, Rutgers University.
Yao Zhao is a researcher affiliated with Supply Chain Management, Rutgers University, specializing in various fields. Their work has been cited 68,508 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yao Zhao's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 97
- i10-Index
- 759
- Total Citations
- 68,508
- Citing Countries
- 80
As of September 2026.
Yao Zhao has an h-index of 97 and 68,508 total citations across 1000 publications, with research cited by institutions in 80 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1
202115,131
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.
43 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a foundational adversarial erasing framework for object region mining, establishing a bridge from classification to semantic segmentation that enabled subsequent advances in human parsing and weakly supervised localization.
The researcher established a foundational pairwise prediction-error expansion framework for reversible data hiding, subsequently advancing it through deep learning integration and generalized theoretical modeling.
The researcher pioneered gradient-based artifact representation for GAN detection, subsequently advancing generalizability through frequency-aware learning and prompt-injected CLIP models.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yao Zhao's research
Yao Zhao is a researcher at Supply Chain Management, Rutgers University. Their work has been cited 68,508 times across 1,000 publications (h-index 97), according to Google Scholar.
Their most-cited work, “Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1” (2021), has accumulated 15,131 citations. Other influential works include “Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic …” (2015) with 7,907 citations and “Object region mining with adversarial erasing: A simple classification to semantic segmentation approach” (2017) with 1,103 citations.
Citations of Yao Zhao's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
