David Zhang
Impact in
- Signal Processing top 0.01%
- Biometric Identification and Security
- Computer Vision and Pattern Recognition top 0.01%
- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Face and Expression Recognition 217
- Face recognition and analysis 126
- Image Retrieval and Classification Techniques 88
- Advanced Image and Video Retrieval Techniques 59
- Image and Signal Denoising Methods 45
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- Biometric Identification and Security 225
- Co-authors
- Lei Zhang (113 shared papers)Jian Yang (43 shared papers)Wangmeng Zuo (81 shared papers)Jingyu Yang (34 shared papers)Yong Xu (63 shared papers)Guangming Lu (86 shared papers)Alejandro F. Frangi (4 shared papers)Jane You (34 shared papers)
- Journals
- Pattern Recognition (76 papers)IEEE Transactions on Image Processing (38 papers)Neurocomputing (28 papers)IEEE Transactions on Circuits and Systems for Video Technology (25 papers)IEEE Transactions on Neural Networks and Learning Systems (25 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
David Zhang
968 papers receiving 50.6k citations
David Zhang's Hit Papers
Peers
Comparison fields: 5 of 230
- Signal Processing 16.1k
- Computer Vision and Pattern Recognition 29.8k
- Media Technology 6.8k
- Computational Mathematics 257
- Artificial Intelligence 7.2k
Countries citing papers authored by David Zhang
This map shows the geographic impact of David 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 David Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Zhang more than expected).
Fields of papers citing papers by David Zhang
This network shows the impact of papers produced by David 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 David Zhang. The network helps show where David Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
Showing the 20 most-cited of 1.0k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Two-dimensional pca: a new approach to appearance-based face representation and recognition Hit paper breakdown → | 2004 | 2534 |
| 2 | Online palmprint identification Hit paper breakdown → | 2003 | 1009 |
| 3 | Efficacy and safety of rituximab in patients with active proliferative lupus nephritis: The lupus nephritis assessment with rituximab study Hit paper breakdown → | 2012 | 972 |
| 4 | Efficacy and safety of rituximab in moderately‐to‐severely active systemic lupus erythematosus: The randomized, double‐blind, phase ii/iii systemic lupus erythematosus evaluation of rituximab trial Hit paper breakdown → | 2009 | 972 |
| 5 | Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure Hit paper breakdown → | 2004 | 873 |
| 6 | A Survey of Sparse Representation: Algorithms and Applications Hit paper breakdown → | 2015 | 813 |
| 7 | Progressive switching median filter for the removal of impulse noise from highly corrupted images Hit paper breakdown → | 1999 | 678 |
| 8 | Fisher Discrimination Dictionary Learning for sparse representation Hit paper breakdown → | 2011 | 675 |
| 9 | The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image Hit paper breakdown → | 2003 | 654 |
| 10 | Efficient Iris Recognition by Characterizing Key Local Variations Hit paper breakdown → | 2004 | 637 |
| 11 | Rotation invariant texture classification using LBP variance (LBPV) with global matching Hit paper breakdown → | 2009 | 621 |
| 12 | KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition Hit paper breakdown → | 2005 | 608 |
| 13 | DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation Hit paper breakdown → | 2022 | 601 |
| 14 | Secure program execution via dynamic information flow tracking Hit paper breakdown → | 2004 | 536 |
| 15 | Diversity and clonal selection in the human T-cell repertoire Hit paper breakdown → | 2014 | 503 |
| 16 | Two-stage image denoising by principal component analysis with local pixel grouping Hit paper breakdown → | 2009 | 475 |
| 17 | Robust sparse coding for face recognition Hit paper breakdown → | 2011 | 442 |
| 18 | Feature selection and analysis on correlated gas sensor data with recursive feature elimination Hit paper breakdown → | 2015 | 392 |
| 19 | Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification Hit paper breakdown → | 2014 | 385 |
| 20 | 2004 | 385 |
About David Zhang
David Zhang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Biomedical Engineering and Media Technology, having authored 1.0k papers that have together received 53.2k indexed citations. Recurring topics across this work include Biometric Identification and Security (225 papers), Face and Expression Recognition (217 papers), Face recognition and analysis (126 papers), Image Retrieval and Classification Techniques (88 papers), Advanced Image and Video Retrieval Techniques (59 papers), Traditional Chinese Medicine Studies (57 papers), User Authentication and Security Systems (48 papers) and Image and Signal Denoising Methods (45 papers). The work is most often cited by research in Signal Processing (16.1k citations), Computer Vision and Pattern Recognition (29.8k citations), Media Technology (6.8k citations), Computational Mathematics (257 citations) and Artificial Intelligence (7.2k citations). David Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lei Zhang, Jian Yang, Wangmeng Zuo, Jingyu Yang, Yong Xu, Guangming Lu, Alejandro F. Frangi, Jane You, Kuanquan Wang and Meng Yang. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Image Processing, Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Neural Networks and Learning 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.