Siheng Chen
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
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- Complex Network Analysis Techniques
Papers in
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- Human Pose and Action Recognition 17
- Video Surveillance and Tracking Methods 9
- Advanced Vision and Imaging 9
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- Advanced Graph Neural Networks 32
- Anomaly Detection Techniques and Applications 15
- Co-authors
- Jelena KovačevićAliaksei SandryhailaYa ZhangYanfeng WangRohan VarmaMaosen LiChen FengJosé M. F. Moura
- Journals
- IEEE Transactions on Signal Processing (8 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Mechanical Systems and Signal Processing (4 papers)Physics of Fluids (3 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Siheng Chen
131 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Computer Vision and Pattern Recognition 1.6k
- Statistical and Nonlinear Physics 655
- Artificial Intelligence 1.5k
- Automotive Engineering 542
- Geology 196
Countries citing papers authored by Siheng Chen
This map shows the geographic impact of Siheng 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 Siheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siheng Chen more than expected).
Fields of papers citing papers by Siheng Chen
This network shows the impact of papers produced by Siheng 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 Siheng Chen. The network helps show where Siheng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Siheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 18 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 114 | |
| 15 | 2022 | 45 | |
| 16 | Spatio-Temporal Graph Scattering Transform | 2021 | 6 |
| 17 | 2020 | 1 | |
| 18 | Pruned Graph Scattering Transforms | 2020 | 7 |
| 19 | Signal Localization, Decomposition and Dictionary Learning on Graphs. | 2016 | 1 |
| 20 | Signal Recovery on Graphs | 2014 | 12 |
About Siheng Chen
Siheng Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Computational Mathematics and Automotive Engineering, having authored 138 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (32 papers), Complex Network Analysis Techniques (18 papers), Human Pose and Action Recognition (17 papers), Anomaly Detection Techniques and Applications (15 papers), Autonomous Vehicle Technology and Safety (12 papers), Robotics and Sensor-Based Localization (10 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Statistical and Nonlinear Physics (655 citations), Artificial Intelligence (1.5k citations), Automotive Engineering (542 citations) and Geology (196 citations). Siheng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jelena Kovačević, Aliaksei Sandryhaila, Ya Zhang, Yanfeng Wang, Rohan Varma, Maosen Li, Chen Feng, José M. F. Moura, Chenxin Xu and Jacobo Bielak. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Mechanical Systems and Signal Processing, Physics of Fluids and IEEE Transactions on Intelligent Transportation Systems.
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.