Xiaobo Chen
Impact in
- Computational Mathematics top 5%
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- Video Surveillance and Tracking Methods 22
- Face and Expression Recognition 21
-
- Anomaly Detection Techniques and Applications 16
- Co-authors
- Dinggang Shen (26 shared papers)Jian Yang (14 shared papers)Yingfeng Cai (24 shared papers)Han Zhang (15 shared papers)Jun Liang (13 shared papers)Qiaolin Ye (16 shared papers)Hai Wang (14 shared papers)Seong–Whan Lee (5 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (6 papers)Pattern Recognition (5 papers)Neurocomputing (5 papers)Sensors (5 papers)Human Brain Mapping (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaobo Chen
163 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 162
- Computational Mathematics 38
- Cognitive Neuroscience 1.0k
- Computer Vision and Pattern Recognition 873
- Automotive Engineering 471
- Building and Construction 491
Countries citing papers authored by Xiaobo Chen
This map shows the geographic impact of Xiaobo 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 Xiaobo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Chen more than expected).
Fields of papers citing papers by Xiaobo Chen
This network shows the impact of papers produced by Xiaobo 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 Xiaobo Chen. The network helps show where Xiaobo Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobo 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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 217 | |
| 2 | 2016 | 198 | |
| 3 | 2011 | 159 | |
| 4 | 2017 | 157 | |
| 5 | 2022 | 143 | |
| 6 | 2019 | 137 | |
| 7 | 2017 | 124 | |
| 8 | 2018 | 115 | |
| 9 | 2016 | 102 | |
| 10 | 2022 | 97 | |
| 11 | 2017 | 85 | |
| 12 | 2012 | 68 | |
| 13 | 2017 | 67 | |
| 14 | 2015 | 65 | |
| 15 | 2020 | 62 | |
| 16 | 2020 | 58 | |
| 17 | 2020 | 57 | |
| 18 | 2014 | 52 | |
| 19 | 2017 | 51 | |
| 20 | 2010 | 51 |
About Xiaobo Chen
Xiaobo Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Control and Systems Engineering and Automotive Engineering, having authored 174 papers that have together received 3.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (31 papers), Video Surveillance and Tracking Methods (22 papers), Face and Expression Recognition (21 papers), Autonomous Vehicle Technology and Safety (20 papers), Sparse and Compressive Sensing Techniques (17 papers), Anomaly Detection Techniques and Applications (16 papers), EEG and Brain-Computer Interfaces (15 papers) and Traffic Prediction and Management Techniques (14 papers). The work is most often cited by research in Computational Mathematics (38 citations), Cognitive Neuroscience (1.0k citations), Computer Vision and Pattern Recognition (873 citations), Automotive Engineering (471 citations) and Building and Construction (491 citations). Xiaobo Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dinggang Shen, Jian Yang, Yingfeng Cai, Han Zhang, Jun Liang, Qiaolin Ye, Hai Wang, Seong–Whan Lee, Feng Zhao and Han Zhang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Pattern Recognition, Neurocomputing, Sensors and Human Brain Mapping.
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.