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 July 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, spanning a global audience.
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
- 0
As of July 2026.
Yi Yang has an h-index of 157 and 101,501 total citations across 711 publications, with research cited by institutions in 0 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
No institution data available.
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.
