Daqing Chen
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
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- Robotic Path Planning Algorithms
- Face recognition and analysis
Papers in
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- Face and Expression Recognition 6
- Face recognition and analysis 5
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- Bayesian Modeling and Causal Inference 6
- Co-authors
- Kun Guo (5 shared papers)Bo Li (20 shared papers)Perry Xiao (12 shared papers)Xiaoguang Gao (6 shared papers)Hao Ma (1 shared paper)Zhigao Guo (3 shared papers)Yang Yu (3 shared papers)Chi‐Ming Che (4 shared papers)
- Journals
- IEEE Access (5 papers)Sensors (4 papers)Information Sciences (2 papers)The Journal of Engineering (2 papers)International Journal of Approximate Reasoning (2 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Daqing Chen
87 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 151
- Signal Processing 167
- Computer Vision and Pattern Recognition 244
- Marketing 106
- Artificial Intelligence 323
- Aerospace Engineering 204
Countries citing papers authored by Daqing Chen
This map shows the geographic impact of Daqing 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 Daqing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqing Chen more than expected).
Fields of papers citing papers by Daqing Chen
This network shows the impact of papers produced by Daqing 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 Daqing Chen. The network helps show where Daqing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqing 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 161 | |
| 2 | 2020 | 104 | |
| 3 | 2015 | 94 | |
| 4 | 2020 | 65 | |
| 5 | 2020 | 46 | |
| 6 | 2021 | 45 | |
| 7 | 2001 | 41 | |
| 8 | 2021 | 39 | |
| 9 | 2021 | 34 | |
| 10 | 2018 | 29 | |
| 11 | 2017 | 29 | |
| 12 | 2018 | 28 | |
| 13 | 2018 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2020 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 2017 | 23 | |
| 19 | 2019 | 21 | |
| 20 | 2014 | 20 |
About Daqing Chen
Daqing Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Organic Chemistry and Control and Systems Engineering, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Bayesian Modeling and Causal Inference (6 papers), Speech and Audio Processing (6 papers), Face recognition and analysis (5 papers), Radar Systems and Signal Processing (5 papers), Military Defense Systems Analysis (5 papers), Robotics and Sensor-Based Localization (4 papers) and Advanced Optical Imaging Technologies (4 papers). The work is most often cited by research in Signal Processing (167 citations), Computer Vision and Pattern Recognition (244 citations), Marketing (106 citations), Artificial Intelligence (323 citations) and Aerospace Engineering (204 citations). Daqing Chen has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Kun Guo, Bo Li, Perry Xiao, Xiaoguang Gao, Hao Ma, Zhigao Guo, Yang Yu, Chi‐Ming Che, Zhenguo Ji and Zhigang Zou. Their work appears in journals such as IEEE Access, Sensors, Information Sciences, The Journal of Engineering and International Journal of Approximate Reasoning.
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.