Feng Chen
Impact in
- Acoustics and Ultrasonics top 1%
-
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
Papers in
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- Reinforcement Learning in Robotics 12
- Anomaly Detection Techniques and Applications 12
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- Human Pose and Action Recognition 20
- Video Surveillance and Tracking Methods 19
- Advanced Neural Network Applications 9
- Advanced Vision and Imaging 8
- Co-authors
- Kaili Jiang (4 shared papers)Shoushan Fan (4 shared papers)Zhuo Chen (3 shared papers)Wenli Xu (17 shared papers)Qunqing Li (4 shared papers)Qionghai Dai (5 shared papers)Jinli Suo (4 shared papers)Luping Shi (7 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (5 papers)Neurocomputing (4 papers)Nano Letters (4 papers)IEEE Transactions on Cybernetics (3 papers)Pattern Recognition Letters (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng Chen
146 papers receiving 3.0k citations
Feng Chen's Hit Papers
Peers
Comparison fields: 5 of 153
- Acoustics and Ultrasonics 152
- Computer Vision and Pattern Recognition 778
- Computational Mathematics 13
- Artificial Intelligence 593
- Biophysics 92
Countries citing papers authored by Feng Chen
This map shows the geographic impact of Feng 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 Feng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chen more than expected).
Fields of papers citing papers by Feng Chen
This network shows the impact of papers produced by Feng 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 Feng Chen. The network helps show where Feng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 461 | |
| 2 | 2017 | 154 | |
| 3 | 2020 | 152 | |
| 4 | 2019 | 146 | |
| 5 | 2005 | 137 | |
| 6 | VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion Hit paper breakdown → | 2023 | 130 |
| 7 | Training and Inference with Integers in Deep Neural Networks | 2018 | 125 |
| 8 | 2017 | 108 | |
| 9 | 2022 | 82 | |
| 10 | 2014 | 81 | |
| 11 | 2022 | 78 | |
| 12 | 2006 | 70 | |
| 13 | 2018 | 66 | |
| 14 | 2012 | 64 | |
| 15 | 2008 | 56 | |
| 16 | 2011 | 52 | |
| 17 | 2011 | 50 | |
| 18 | 2022 | 47 | |
| 19 | 2007 | 44 | |
| 20 | 2020 | 43 |
About Feng Chen
Feng Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 161 papers that have together received 3.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (20 papers), Video Surveillance and Tracking Methods (19 papers), Reinforcement Learning in Robotics (12 papers), Anomaly Detection Techniques and Applications (12 papers), Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (10 papers), Advanced Neural Network Applications (9 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Acoustics and Ultrasonics (152 citations), Computer Vision and Pattern Recognition (778 citations), Computational Mathematics (13 citations), Artificial Intelligence (593 citations) and Biophysics (92 citations). Feng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kaili Jiang, Shoushan Fan, Zhuo Chen, Wenli Xu, Qunqing Li, Qionghai Dai, Jinli Suo, Luping Shi, Liang Liu and Guoqi Li. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Nano Letters, IEEE Transactions on Cybernetics and Pattern Recognition Letters.
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.