Debing Zhang
Impact in
- Computational Mathematics top 2%
-
- Image and Signal Denoising Methods
- Face and Expression Recognition
- Face recognition and analysis
- Advanced Image Processing Techniques
Papers in
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- Advanced Vision and Imaging 4
- Image and Signal Denoising Methods 3
- Advanced Neural Network Applications 3
- Face and Expression Recognition 3
-
- Advanced Image Fusion Techniques 2
Debing Zhang
24 papers receiving 987 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Computational Mathematics 57
- Computer Vision and Pattern Recognition 661
- Signal Processing 231
- Computational Mechanics 418
- Media Technology 161
Countries citing papers authored by Debing Zhang
This map shows the geographic impact of Debing Zhang'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 Debing Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debing Zhang more than expected).
Fields of papers citing papers by Debing Zhang
This network shows the impact of papers produced by Debing Zhang. 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 Debing Zhang. The network helps show where Debing Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Debing Zhang, 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 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 114 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 24 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 86 | |
| 17 | New analysis and calculation method for permeable leakage layer depth and pressure | 2013 | 1 |
| 18 | Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization Hit paper breakdown → | 2013 | 601 |
| 19 | Hydrographic Factors of Water Bloom in the Hanjiang River | 2002 | 1 |
| 20 | 2002 | 1 |
About Debing Zhang
Debing Zhang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Signal Processing and Geochemistry and Petrology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Advanced Neural Network Applications (3 papers), Face and Expression Recognition (3 papers), Advanced Image Fusion Techniques (2 papers), Biometric Identification and Security (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computational Mathematics (57 citations), Computer Vision and Pattern Recognition (661 citations), Signal Processing (231 citations), Computational Mechanics (418 citations) and Media Technology (161 citations). Debing Zhang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaofei He, Xuelong Li, Jieping Ye, Yao Hu, Ying Fu, Tao Zhang, Hua Huang, Yinqiang Zheng, Jiankang Deng and Yafeng Deng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing, Electronics, International Journal of Computer Vision and Complex & Intelligent Systems.
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.