Luefeng Chen
Impact in
-
- Emotion and Mood Recognition
-
- Face and Expression Recognition
- Face recognition and analysis
Papers in
-
- Mineral Processing and Grinding 13
- Iron and Steelmaking Processes 11
- Advanced machining processes and optimization 10
-
- Fault Detection and Control Systems 11
- Co-authors
- Min Wu (119 shared papers)Witold Pedrycz (42 shared papers)Weihua Cao (30 shared papers)Jinhua She (19 shared papers)Wanjuan Su (9 shared papers)Kaoru Hirota (21 shared papers)Mengtian Zhou (9 shared papers)Zhentao Liu (14 shared papers)
In The Last Decade
Luefeng Chen
113 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Experimental and Cognitive Psychology 562
- Computer Vision and Pattern Recognition 459
- Control and Systems Engineering 446
- Human-Computer Interaction 100
- Signal Processing 159
Countries citing papers authored by Luefeng Chen
This map shows the geographic impact of Luefeng 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 Luefeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luefeng Chen more than expected).
Fields of papers citing papers by Luefeng Chen
This network shows the impact of papers produced by Luefeng 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 Luefeng Chen. The network helps show where Luefeng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Luefeng 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 154 | |
| 2 | 2019 | 133 | |
| 3 | 2017 | 130 | |
| 4 | 2019 | 60 | |
| 5 | 2022 | 60 | |
| 6 | 2018 | 57 | |
| 7 | 2017 | 51 | |
| 8 | 2021 | 47 | |
| 9 | 2020 | 45 | |
| 10 | 2019 | 39 | |
| 11 | 2019 | 38 | |
| 12 | 2017 | 37 | |
| 13 | 2016 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 2020 | 32 | |
| 16 | 2021 | 32 | |
| 17 | 2021 | 32 | |
| 18 | 2020 | 29 | |
| 19 | 2020 | 29 | |
| 20 | 2020 | 28 |
About Luefeng Chen
Luefeng Chen is a scholar working on Mechanical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Ocean Engineering and Experimental and Cognitive Psychology, having authored 129 papers that have together received 1.8k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (32 papers), Drilling and Well Engineering (30 papers), Tunneling and Rock Mechanics (25 papers), Face and Expression Recognition (20 papers), Mineral Processing and Grinding (13 papers), Fault Detection and Control Systems (11 papers), Iron and Steelmaking Processes (11 papers) and Advanced machining processes and optimization (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (562 citations), Computer Vision and Pattern Recognition (459 citations), Control and Systems Engineering (446 citations), Human-Computer Interaction (100 citations) and Signal Processing (159 citations). Luefeng Chen has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Min Wu, Witold Pedrycz, Weihua Cao, Jinhua She, Wanjuan Su, Kaoru Hirota, Mengtian Zhou, Zhentao Liu, Kaoru Hirota and Sheng Du. Their work appears in journals such as Information Sciences, IEEE Transactions on Industrial Electronics, IEEE Transactions on Systems Man and Cybernetics Systems, Journal of Process Control and International Journal of Systems 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.