Lijiang Chen
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Data Management and Algorithms
- Music and Audio Processing
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- Emotion and Mood Recognition
Papers in
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- Face and Expression Recognition 11
- Human Pose and Action Recognition 9
- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 6
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- Speech and Audio Processing 10
Lijiang Chen
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Signal Processing 384
- Experimental and Cognitive Psychology 282
- Computer Vision and Pattern Recognition 360
- Artificial Intelligence 425
- Computational Mathematics 6
Countries citing papers authored by Lijiang Chen
This map shows the geographic impact of Lijiang 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 Lijiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijiang Chen more than expected).
Fields of papers citing papers by Lijiang Chen
This network shows the impact of papers produced by Lijiang 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 Lijiang Chen. The network helps show where Lijiang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lijiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 26 | |
| 16 | 2017 | 31 | |
| 17 | MOOC Platform and Graduate Education | 2015 | 0 |
| 18 | 2015 | 8 | |
| 19 | Classifier fusion for speech emotion recognition based on improved queuing voting algorithm | 2009 | 1 |
| 20 | Autolabeling of VN Combination Based on Multi-classifier | 2008 | 1 |
About Lijiang Chen
Lijiang Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Media Technology, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (10 papers), Emotion and Mood Recognition (9 papers), Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers), Peer-to-Peer Network Technologies (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Signal Processing (384 citations), Experimental and Cognitive Psychology (282 citations), Computer Vision and Pattern Recognition (360 citations), Artificial Intelligence (425 citations) and Computational Mathematics (6 citations). Lijiang Chen has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Xia Mao, Yuli Xue, L. L. Cheng, Suzhen Yuan, Bin Cui, Hua Lu, Angelo Compare, Hong Yan, Qingxu Xiong and Quanqing Xu. Their work appears in journals such as Applied Sciences, Optik, IEEE Transactions on Image Processing, IEEE Transactions on Industrial Informatics and Quantum Information Processing.
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.