Xiaogang Wang Google Scholar: h-index, Total Citations, and Citation Map
Xiaogang Wang's h-index is 154 (265 i10-index, 128,617+ total citations across 319+ publications) according to Google Scholar as of October 2026. Xiaogang Wang is affiliated with Professor of Electronic Engineering, the Chinese University of Hong Kong.
Xiaogang Wang is a researcher affiliated with Professor of Electronic Engineering, the Chinese University of Hong Kong, specializing in Computer vision, pattern recognition, machine learning. Their work has been cited 128,617 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Xiaogang Wang's Citation Metrics
Bibliometric impact based on 319 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 154
- i10-Index
- 265
- Total Citations
- 128,617
- Citing Countries
- 64
As of October 2026.
Xiaogang Wang has an h-index of 154 and 128,617 total citations across 319 publications, with research cited by institutions in 64 countries.
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Global Impact Map
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Pyramid Scene Parsing Network
201721,132
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.
367 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Xiaogang Wang's research
Xiaogang Wang is a researcher in Computer vision, pattern recognition and machine learning at Professor of Electronic Engineering, the Chinese University of Hong Kong. Their work has been cited 128,617 times across 319 publications (h-index 154), according to Google Scholar.
Their most-cited work, “Pyramid Scene Parsing Network” (2017), has accumulated 21,132 citations. Other influential works include “Deep learning face attributes in the wild” (2015) with 12,624 citations and “Residual attention network for image classification” (2017) with 5,135 citations.
Citations of Xiaogang Wang's research come primarily from China, United States and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
