Ruichen Li
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Topic Modeling 3
- Privacy-Preserving Technologies in Data 2
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- Music and Audio Processing 2
- Co-authors
- Qin Jin (5 shared papers)Jinming Zhao (5 shared papers)Shizhe Chen (2 shared papers)Bin Zheng (7 shared papers)Hongsheng Chen (6 shared papers)Lian Shen (3 shared papers)Xiaofeng Li (3 shared papers)Rongrong Zhu (4 shared papers)
- Journals
- Laser & Photonics Review (2 papers)Applied Sciences (1 paper)Multimedia Tools and Applications (1 paper)Nanophotonics (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ruichen Li
24 papers receiving 353 citations
Peers
Comparison fields: 5 of 59
- Experimental and Cognitive Psychology 104
- Signal Processing 63
- Artificial Intelligence 169
- Computer Vision and Pattern Recognition 70
- Electronic, Optical and Magnetic Materials 47
Countries citing papers authored by Ruichen Li
This map shows the geographic impact of Ruichen Li'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 Ruichen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruichen Li more than expected).
Fields of papers citing papers by Ruichen Li
This network shows the impact of papers produced by Ruichen Li. 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 Ruichen Li. The network helps show where Ruichen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruichen Li, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 111 | |
| 2 | 2018 | 31 | |
| 3 | 2023 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2023 | 22 | |
| 6 | 2024 | 19 | |
| 7 | 2019 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Ruichen Li
Ruichen Li is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Aerospace Engineering, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), Metamaterials and Metasurfaces Applications (4 papers), Topic Modeling (3 papers), Antenna Design and Analysis (2 papers), Music and Audio Processing (2 papers), Privacy-Preserving Technologies in Data (2 papers), Underwater Acoustics Research (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (104 citations), Signal Processing (63 citations), Artificial Intelligence (169 citations), Computer Vision and Pattern Recognition (70 citations) and Electronic, Optical and Magnetic Materials (47 citations). Ruichen Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qin Jin, Jinming Zhao, Shizhe Chen, Bin Zheng, Hongsheng Chen, Lian Shen, Xiaofeng Li, Rongrong Zhu, Tong Cai and Haizhou Li. Their work appears in journals such as Laser & Photonics Review, Applied Sciences, Multimedia Tools and Applications, Nanophotonics and Advanced Functional Materials.
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.