Ruichen Li
Impact in
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- Emotion and Mood Recognition
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Privacy-Preserving Technologies in Data
- Topic Modeling
Papers in
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- Neural Networks and Reservoir Computing 2
- Privacy-Preserving Technologies in Data 2
- Topic Modeling 1
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- Metamaterials and Metasurfaces Applications 5
- Co-authors
- Jinming Zhao (5 shared papers)Qin Jin (5 shared papers)Shizhe Chen (2 shared papers)Bin Zheng (7 shared papers)HongSheng Chen (6 shared papers)Xiaofeng Li (3 shared papers)Lian Shen (3 shared papers)Yichi Yang (1 shared paper)
In The Last Decade
Ruichen Li
25 papers receiving 444 citations
Peers
Comparison fields: 5 of 53
- Experimental and Cognitive Psychology 124
- Artificial Intelligence 133
- Electronic, Optical and Magnetic Materials 54
- Computer Vision and Pattern Recognition 62
- Aerospace Engineering 52
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | 2018 | 35 | |
| 3 | 2023 | 30 | |
| 4 | 2023 | 29 | |
| 5 | 2024 | 26 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 12 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2025 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2022 | 3 |
About Ruichen Li
Ruichen Li is a scholar working on Artificial Intelligence, Electronic, Optical and Magnetic Materials, Experimental and Cognitive Psychology, Aerospace Engineering and Signal Processing, having authored 27 papers that have together received 449 indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (5 papers), Emotion and Mood Recognition (5 papers), Neural Networks and Reservoir Computing (2 papers), Advanced Antenna and Metasurface Technologies (2 papers), Privacy-Preserving Technologies in Data (2 papers), Time Series Analysis and Forecasting (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (124 citations), Artificial Intelligence (133 citations), Electronic, Optical and Magnetic Materials (54 citations), Computer Vision and Pattern Recognition (62 citations) and Aerospace Engineering (52 citations). Ruichen Li has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Jinming Zhao, Qin Jin, Shizhe Chen, Bin Zheng, HongSheng Chen, Xiaofeng Li, Lian Shen, Yichi Yang, Zhiting Hu and Rongrong Zhu. Their work appears in journals such as Laser & Photonics Review, Applied Sciences, Nanophotonics, ACS Photonics and Neural Computing and Applications.
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.