Man Zhang
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
Papers in
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- Face recognition and analysis 11
- Human Pose and Action Recognition 8
- Face and Expression Recognition 6
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- Gait Recognition and Analysis 9
- Co-authors
- Zhenan Sun (10 shared papers)Tieniu Tan (9 shared papers)Nianfeng Liu (2 shared papers)Ran He (5 shared papers)Haiqing Li (1 shared paper)Lingxiao Song (1 shared paper)Jing Liu (1 shared paper)Xiang Wu (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (3 papers)Neurocomputing (2 papers)The Science of The Total Environment (2 papers)Powder Technology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Man Zhang
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 134
- Signal Processing 346
- Computer Vision and Pattern Recognition 445
- Pollution 96
- Radiological and Ultrasound Technology 33
- Human-Computer Interaction 35
Countries citing papers authored by Man Zhang
This map shows the geographic impact of Man 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 Man Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man Zhang more than expected).
Fields of papers citing papers by Man Zhang
This network shows the impact of papers produced by Man 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 Man Zhang. The network helps show where Man Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Man 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 128 | |
| 2 | 2012 | 113 | |
| 3 | 2015 | 112 | |
| 4 | 2018 | 84 | |
| 5 | 2015 | 54 | |
| 6 | 2017 | 49 | |
| 7 | 2016 | 48 | |
| 8 | 2011 | 40 | |
| 9 | 2012 | 38 | |
| 10 | 2017 | 35 | |
| 11 | 2022 | 34 | |
| 12 | 2012 | 32 | |
| 13 | 2014 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2024 | 21 | |
| 16 | 2016 | 20 | |
| 17 | 2018 | 17 | |
| 18 | 2019 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2019 | 13 |
About Man Zhang
Man Zhang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Signal Processing, Artificial Intelligence and Information Systems, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face recognition and analysis (11 papers), Biometric Identification and Security (9 papers), Gait Recognition and Analysis (9 papers), Human Pose and Action Recognition (8 papers), Face and Expression Recognition (6 papers), Human Motion and Animation (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Signal Processing (346 citations), Computer Vision and Pattern Recognition (445 citations), Pollution (96 citations), Radiological and Ultrasound Technology (33 citations) and Human-Computer Interaction (35 citations). Man Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhenan Sun, Tieniu Tan, Nianfeng Liu, Ran He, Haiqing Li, Haiqing Li, Lingxiao Song, Jing Liu, Xiang Wu and Suraj Shrestha. Their work appears in journals such as IEEE Transactions on Multimedia, Neurocomputing, The Science of The Total Environment, Powder Technology and Scientific Reports.
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.