Yunhong Wang Google Scholar: h-index, Total Citations, and Citation Map
Yunhong Wang's h-index is 83 (334 i10-index, 37,480+ total citations across 541+ publications) according to Google Scholar as of October 2026. Yunhong Wang is affiliated with State Key Laboratory of Virtual Reality Technology and Systems.
Yunhong Wang is a researcher affiliated with State Key Laboratory of Virtual Reality Technology and Systems, specializing in Biometrics, Pattern Recognition, Image Processing. Their work has been cited 37,480 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yunhong Wang's Citation Metrics
Bibliometric impact based on 541 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 83
- i10-Index
- 334
- Total Citations
- 37,480
- Citing Countries
- 67
As of October 2026.
Yunhong Wang has an h-index of 83 and 37,480 total citations across 541 publications, with research cited by institutions in 67 countries.
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Road extraction by deep residual u-net
20183,999
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yunhong Wang's research
Yunhong Wang is a researcher in Biometrics, Pattern Recognition and Image Processing at State Key Laboratory of Virtual Reality Technology and Systems. Their work has been cited 37,480 times across 541 publications (h-index 83), according to Google Scholar.
Their most-cited work, “Road extraction by deep residual u-net” (2018), has accumulated 3,999 citations. Other influential works include “Receptive field block net for accurate and fast object detection” (2018) with 2,348 citations and “Personal identification based on iris texture analysis” (2003) with 1,456 citations.
Citations of Yunhong Wang'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.
