Chen Shen
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
Papers in
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- Topic Modeling 8
- Domain Adaptation and Few-Shot Learning 8
- Machine Learning and ELM 5
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- Video Surveillance and Tracking Methods 11
- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- Xian‐Sheng Hua (7 shared papers)Yiru Zhao (2 shared papers)Bing Deng (1 shared paper)Yao Liu (1 shared paper)Hongtao Lu (1 shared paper)Chunhua Xiong (9 shared papers)Hongxia Zhao (3 shared papers)Baocheng Qu (3 shared papers)
- Journals
- Neurocomputing (5 papers)Complexity (2 papers)Applied Soft Computing (2 papers)Measurement (1 paper)Applied Surface Science (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chen Shen
78 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 519
- Artificial Intelligence 599
- Computer Networks and Communications 234
- Water Science and Technology 125
- Media Technology 77
Countries citing papers authored by Chen Shen
This map shows the geographic impact of Chen Shen'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 Chen Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Shen more than expected).
Fields of papers citing papers by Chen Shen
This network shows the impact of papers produced by Chen Shen. 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 Chen Shen. The network helps show where Chen Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Shen, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatio-Temporal AutoEncoder for Video Anomaly Detection Hit paper breakdown → | 2017 | 380 |
| 2 | 2018 | 61 | |
| 3 | 2021 | 59 | |
| 4 | 2010 | 57 | |
| 5 | 2020 | 55 | |
| 6 | 2016 | 52 | |
| 7 | 2009 | 45 | |
| 8 | 2017 | 44 | |
| 9 | 2020 | 43 | |
| 10 | 2017 | 42 | |
| 11 | 2019 | 40 | |
| 12 | 2018 | 40 | |
| 13 | 2020 | 37 | |
| 14 | 2021 | 35 | |
| 15 | 2016 | 35 | |
| 16 | 2021 | 33 | |
| 17 | 2020 | 30 | |
| 18 | 2018 | 29 | |
| 19 | 2012 | 29 | |
| 20 | 2021 | 25 |
About Chen Shen
Chen Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Mechanical Engineering and Water Science and Technology, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Face and Expression Recognition (9 papers), Topic Modeling (8 papers), Domain Adaptation and Few-Shot Learning (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Adsorption and biosorption for pollutant removal (6 papers), Machine Learning and ELM (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (519 citations), Artificial Intelligence (599 citations), Computer Networks and Communications (234 citations), Water Science and Technology (125 citations) and Media Technology (77 citations). Chen Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xian‐Sheng Hua, Yiru Zhao, Bing Deng, Yao Liu, Hongtao Lu, Chunhua Xiong, Hongxia Zhao, Baocheng Qu, Rongrong Ji and Xiuying Chen. Their work appears in journals such as Neurocomputing, Complexity, Applied Soft Computing, Measurement and Applied Surface Science.
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.