Peihao Chen
Impact in
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- Circadian rhythm and melatonin
- Aging top 5%
Papers in
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- Multimodal Machine Learning Applications 8
- Human Pose and Action Recognition 8
- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 2
- Video Analysis and Summarization 2
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Chuang Gan (12 shared papers)Mingkui Tan (9 shared papers)Runhao Zeng (5 shared papers)Deng Huang (3 shared papers)Xiangbing Qi (6 shared papers)Wenbing Huang (2 shared papers)David Cox (1 shared paper)Hang Zhao (1 shared paper)
- Journals
- Nature Communications (2 papers)IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Multimedia (2 papers)Cell Metabolism (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Peihao Chen
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Endocrine and Autonomic Systems 151
- Aging 39
- Computer Vision and Pattern Recognition 432
- Signal Processing 129
- Neurology 79
Countries citing papers authored by Peihao Chen
This map shows the geographic impact of Peihao Chen'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 Peihao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peihao Chen more than expected).
Fields of papers citing papers by Peihao Chen
This network shows the impact of papers produced by Peihao Chen. 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 Peihao Chen. The network helps show where Peihao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peihao Chen, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 210 | |
| 2 | 2020 | 153 | |
| 3 | 2020 | 117 | |
| 4 | 2019 | 107 | |
| 5 | 2015 | 102 | |
| 6 | 2019 | 74 | |
| 7 | 2021 | 73 | |
| 8 | 2019 | 58 | |
| 9 | 2020 | 50 | |
| 10 | 2024 | 36 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2023 | 20 | |
| 14 | 2023 | 16 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 1 |
About Peihao Chen
Peihao Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing and Organic Chemistry, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (8 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Vision and Imaging (3 papers), Music and Audio Processing (2 papers), Advanced Neural Network Applications (2 papers), Speech and Audio Processing (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (151 citations), Aging (39 citations), Computer Vision and Pattern Recognition (432 citations), Signal Processing (129 citations) and Neurology (79 citations). Peihao Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chuang Gan, Mingkui Tan, Runhao Zeng, Deng Huang, Xiangbing Qi, Wenbing Huang, David Cox, Hang Zhao, Antonio Torralba and Qing Du. Their work appears in journals such as Nature Communications, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Cell Metabolism and Journal of Cerebral Blood Flow & Metabolism.
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.