Bob Zhang
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Computational Mathematics top 1%
Papers in
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- Face and Expression Recognition 82
- Face recognition and analysis 46
- Image Retrieval and Classification Techniques 25
- Video Surveillance and Tracking Methods 19
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- Biometric Identification and Security 64
Bob Zhang
263 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 4.3k
- Computational Mathematics 98
- Signal Processing 1.6k
- Media Technology 1.1k
- Complementary and alternative medicine 556
Countries citing papers authored by Bob Zhang
This map shows the geographic impact of Bob 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 Bob Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bob Zhang more than expected).
Fields of papers citing papers by Bob Zhang
This network shows the impact of papers produced by Bob 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 Bob Zhang. The network helps show where Bob Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bob 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 31 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 25 | |
| 14 | 2022 | 41 | |
| 15 | 2022 | 21 | |
| 16 | 2020 | 12 | |
| 17 | 2019 | 52 | |
| 18 | 2019 | 88 | |
| 19 | 2019 | 39 | |
| 20 | 2017 | 13 |
About Bob Zhang
Bob Zhang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Complementary and alternative medicine and Computational Mathematics, having authored 279 papers that have together received 7.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (82 papers), Biometric Identification and Security (64 papers), Face recognition and analysis (46 papers), Traditional Chinese Medicine Studies (39 papers), Sparse and Compressive Sensing Techniques (29 papers), Image Retrieval and Classification Techniques (25 papers), Remote-Sensing Image Classification (23 papers) and Video Surveillance and Tracking Methods (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Computational Mathematics (98 citations), Signal Processing (1.6k citations), Media Technology (1.1k citations) and Complementary and alternative medicine (556 citations). Bob Zhang has collaborated with scholars based in Macao, China and Hong Kong. Frequent co-authors include Yong Xu, Lunke Fei, David Zhang, Shuping Zhao, Jie Wen, Jinxing Li, Fakhri Karray, Zheng Zhang, Wangmeng Zuo and Shuyi Li. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Information Sciences, Pattern Recognition and IEEE Transactions on Multimedia.
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.