Yipin Zhou
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
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- Human Pose and Action Recognition
- Video Analysis and Summarization
- Music Technology and Sound Studies
- Multimodal Machine Learning Applications
Papers in
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- Video Analysis and Summarization 3
- Generative Adversarial Networks and Image Synthesis 3
- Digital Media Forensic Detection 1
- Advanced Vision and Imaging 1
- Image and Signal Denoising Methods 1
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- Human Motion and Animation 1
- Co-authors
- Tamara L. Berg (3 shared papers)Zhaowen Wang (1 shared paper)Trung Bui (1 shared paper)Fang Chen (1 shared paper)Yale Song (1 shared paper)Kevin Tang (1 shared paper)Бо Лю (1 shared paper)Jiawei Liu (1 shared paper)
- Journals
- Journal of Magnetism and Magnetic Materials (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesSingaporeIsrael
In The Last Decade
Yipin Zhou
5 papers receiving 151 citations
Peers
Comparison fields: 5 of 28
- Signal Processing 95
- Computer Vision and Pattern Recognition 111
- Cognitive Neuroscience 30
- Human-Computer Interaction 5
- Artificial Intelligence 29
Countries citing papers authored by Yipin Zhou
This map shows the geographic impact of Yipin 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 Yipin Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yipin Zhou more than expected).
Fields of papers citing papers by Yipin Zhou
This network shows the impact of papers produced by Yipin 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 Yipin Zhou. The network helps show where Yipin Zhou may publish in the future.
Co-authors
The 15 scholars most cited alongside Yipin 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 | 2018 | 121 | |
| 2 | 2015 | 25 | |
| 3 | 2024 | 4 | |
| 4 | 2018 | 4 | |
| 5 | 2006 | 1 | |
| 6 | 2021 | 0 |
About Yipin Zhou
Yipin Zhou is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Mechanics of Materials, Signal Processing and Computational Mechanics, having authored 6 papers that have together received 155 indexed citations. Recurring topics across this work include Video Analysis and Summarization (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Digital Media Forensic Detection (1 paper), Advanced Vision and Imaging (1 paper), Image and Signal Denoising Methods (1 paper), Adhesion, Friction, and Surface Interactions (1 paper), Human Motion and Animation (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Signal Processing (95 citations), Computer Vision and Pattern Recognition (111 citations), Cognitive Neuroscience (30 citations), Human-Computer Interaction (5 citations) and Artificial Intelligence (29 citations). Yipin Zhou has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Tamara L. Berg, Zhaowen Wang, Trung Bui, Fang Chen, Yale Song, Kevin Tang, Бо Лю, Jiawei Liu, Yuchao Gu and Bichen Wu. Their work appears in journals such as Journal of Magnetism and Magnetic Materials and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.