Yi Yang: h-index, Total Citations, and Citation Map
Yi Yang's h-index is 157 (586 i10-index, 101,501+ total citations across 711+ publications) according to Google Scholar as of September 2026. Yi Yang is affiliated with Zhejiang University.
Yi Yang is a researcher affiliated with Zhejiang University, specializing in multimedia, computer vision, machine learning. Their work has been cited 101,501 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yi Yang's Citation Metrics
Bibliometric impact based on 711 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 157
- i10-Index
- 586
- Total Citations
- 101,501
- Citing Countries
- 72
As of September 2026.
Yi Yang has an h-index of 157 and 101,501 total citations across 711 publications, with research cited by institutions in 72 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Yi Yang's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Random erasing data augmentation
20205,542
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.
745 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for person re-identification, advancing the field from theoretical review to robust, attribute-enhanced methods for real-world deployment.
The researcher pioneered domain adaptation and part-based feature learning for person re-identification, establishing a highly cited framework that significantly advanced cross-domain visual recognition capabilities.
The researcher pioneered the use of GAN-generated unlabeled samples to enhance person re-identification baselines, establishing a foundational approach for data augmentation in this field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Yi Yang's research
Yi Yang is a researcher in multimedia, computer vision and machine learning at Zhejiang University. Their work has been cited 101,501 times across 711 publications (h-index 157), according to Google Scholar.
Their most-cited work, “Random erasing data augmentation” (2020), has accumulated 5,542 citations. Other influential works include “Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)” (2018) with 3,441 citations and “Unlabeled samples generated by gan improve the person re-identification baseline in vitro” (2017) with 2,676 citations.
Citations of Yi Yang's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
