Wengang Zhou: h-index, Total Citations, and Citation Map
Wengang Zhou's h-index is 80 (261 i10-index, 29,697+ total citations across 437+ publications) according to Google Scholar as of September 2026. Wengang Zhou is affiliated with Professor, EEIS Department, University of Science and Technology of China.
Wengang Zhou is a researcher affiliated with Professor, EEIS Department, University of Science and Technology of China, specializing in Multimedia Retrieval, Computer Vision, Computer Game. Their work has been cited 29,697 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Wengang Zhou's Citation Metrics
Bibliometric impact based on 437 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 80
- i10-Index
- 261
- Total Citations
- 29,697
- Citing Countries
- 81
As of September 2026.
Wengang Zhou has an h-index of 80 and 29,697 total citations across 437 publications, with research cited by institutions in 81 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Wengang Zhou'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.
Uformer: A general u-shaped transformer for image restoration
20223,283
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.
717 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced robust visual tracking by developing multi-cue correlation filters and extending the framework with transformer-based temporal context and unsupervised deep learning methods.
The researcher pioneered efficient video-based sign language recognition methods, establishing a foundational framework that enabled subsequent advancements in pre-trained representations and continuous decoding techniques.
The researcher developed iterative alignment and multi-cue network architectures that significantly advanced the accuracy and robustness of continuous sign language recognition systems.
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 Wengang Zhou's research
Wengang Zhou is a researcher in Multimedia Retrieval, Computer Vision and Computer Game at Professor, EEIS Department, University of Science and Technology of China. Their work has been cited 29,697 times across 437 publications (h-index 80), according to Google Scholar.
Their most-cited work, “Uformer: A general u-shaped transformer for image restoration” (2022), has accumulated 3,283 citations. Other influential works include “Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection” (2021) with 1,467 citations and “Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking” (2021) with 1,144 citations.
Citations of Wengang Zhou'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.
