Enhua Wu
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Image Enhancement Techniques
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- Computer Graphics and Visualization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 119
- Computational Geometry and Mesh Generation 25
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- Advanced Vision and Imaging 80
- Advanced Image and Video Retrieval Techniques 33
- Image Enhancement Techniques 19
- Advanced Image Processing Techniques 15
- Co-authors
- Gang SunLi ShenJie HuSamuel AlbanieZiyang MaKaiming HeYichen WeiJian Sun
In The Last Decade
Enhua Wu
176 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Vision and Pattern Recognition 5.8k
- Computer Graphics and Computer-Aided Design 664
- Media Technology 1.5k
- Artificial Intelligence 2.1k
- Industrial and Manufacturing Engineering 510
Countries citing papers authored by Enhua Wu
This map shows the geographic impact of Enhua Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Enhua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enhua Wu more than expected).
Fields of papers citing papers by Enhua Wu
This network shows the impact of papers produced by Enhua Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Enhua Wu. The network helps show where Enhua Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Enhua Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 2 | |
| 8 | Training Binary Neural Networks through Learning with Noisy Supervision | 2020 | 7 |
| 9 | 2019 | 9 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 4 | |
| 12 | 2015 | 8 | |
| 13 | Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology | 2013 | 7 |
| 14 | 2012 | 127 | |
| 15 | 2009 | 0 | |
| 16 | Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry | 2009 | 9 |
| 17 | Mesh Simplification Based on Features Preserving and Triangles Optimization | 2005 | 2 |
| 18 | Decomposing Polygons into Stripes for Fast Rendering | 2005 | 3 |
| 19 | Probability Estimation for People Detection | 2003 | 1 |
| 20 | 2002 | 1 |
About Enhua Wu
Enhua Wu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology and Software, having authored 198 papers that have together received 10.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (119 papers), Advanced Vision and Imaging (80 papers), 3D Shape Modeling and Analysis (56 papers), Advanced Image and Video Retrieval Techniques (33 papers), Computational Geometry and Mesh Generation (25 papers), Image Enhancement Techniques (19 papers), Advanced Image Processing Techniques (15 papers) and Fluid Dynamics and Heat Transfer (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.8k citations), Computer Graphics and Computer-Aided Design (664 citations), Media Technology (1.5k citations), Artificial Intelligence (2.1k citations) and Industrial and Manufacturing Engineering (510 citations). Enhua Wu has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Gang Sun, Li Shen, Jie Hu, Samuel Albanie, Ziyang Ma, Kaiming He, Yichen Wei, Jian Sun, Xuehui Liu and Youquan Liu. Their work appears in journals such as The Visual Computer, Computer Graphics Forum, Science China Information Sciences, IEEE Transactions on Visualization and Computer Graphics and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.