Zihan Zhou
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- Face recognition and analysis 6
- Face and Expression Recognition 6
- Advanced Neural Network Applications 4
- Computational Mathematics top 5%
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques 7
- Signal Processing top 2%
- Media Technology top 2%
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- Advanced MRI Techniques and Applications 10
- Advanced Neuroimaging Techniques and Applications 9
- Medical Imaging Techniques and Applications 5
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- Topic Modeling 3
- Co-authors
- Yi MaJohn WrightAndrew WagnerArvind GaneshHossein MobahiXiaodong LiEmmanuel J. CandèsS. Shankar Sastry
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zihan Zhou
70 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 1.1k
- Computational Mathematics 27
- Computational Mechanics 652
- Signal Processing 330
- Media Technology 205
Countries citing papers authored by Zihan Zhou
This map shows the geographic impact of Zihan Zhou'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 Zihan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zihan Zhou more than expected).
Fields of papers citing papers by Zihan Zhou
This network shows the impact of papers produced by Zihan Zhou. 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 Zihan Zhou. The network helps show where Zihan Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zihan Zhou, 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 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 21 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 23 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 8 |
About Zihan Zhou
Zihan Zhou is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Sparse and Compressive Sensing Techniques (7 papers), Face recognition and analysis (6 papers), Face and Expression Recognition (6 papers), Medical Imaging Techniques and Applications (5 papers), Advanced Neural Network Applications (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computational Mathematics (27 citations) and Computational Mechanics (652 citations). Zihan Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi Ma, John Wright, Andrew Wagner, Arvind Ganesh, Hossein Mobahi, Xiaodong Li, Emmanuel J. Candès, S. Shankar Sastry, A. Y. Yang and Allen Y. Yang. Their work appears in journals such as Magnetic Resonance in Medicine, Scientific Reports, Symmetry, Human Brain Mapping and IEEE Transactions on Mobile Computing.
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.