Shaowei Cui
Impact in
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
- EEG and Brain-Computer Interfaces
- Human-Computer Interaction top 5%
Papers in ⓘ
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- Tactile and Sensory Interactions 22
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- Advanced Sensor and Energy Harvesting Materials 14
- Soft Robotics and Applications 6
- Muscle activation and electromyography studies 5
- Co-authors
- Shuo Wang (26 shared papers)Rui Wang (17 shared papers)Zheng Lou (4 shared papers)Hang Liu (1 shared paper)Xiaohui Zhao (1 shared paper)Fengyu Cong (1 shared paper)Shuo Wang (1 shared paper)Shufang Zhao (1 shared paper)
In The Last Decade
Shaowei Cui
29 papers receiving 435 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 214
- Human-Computer Interaction 60
- Control and Systems Engineering 128
- Biomedical Engineering 210
- Computer Vision and Pattern Recognition 69
Countries citing papers authored by Shaowei Cui
This map shows the geographic impact of Shaowei Cui'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 Shaowei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowei Cui more than expected).
Fields of papers citing papers by Shaowei Cui
This network shows the impact of papers produced by Shaowei Cui. 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 Shaowei Cui. The network helps show where Shaowei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaowei Cui, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 61 | |
| 2 | 2022 | 58 | |
| 3 | 2023 | 53 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 32 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2018 | 4 |
About Shaowei Cui
Shaowei Cui is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Control and Systems Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 446 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (22 papers), Advanced Sensor and Energy Harvesting Materials (14 papers), Robot Manipulation and Learning (10 papers), Soft Robotics and Applications (6 papers), Muscle activation and electromyography studies (5 papers), Interactive and Immersive Displays (4 papers), Hand Gesture Recognition Systems (3 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Cognitive Neuroscience (214 citations), Human-Computer Interaction (60 citations), Control and Systems Engineering (128 citations), Biomedical Engineering (210 citations) and Computer Vision and Pattern Recognition (69 citations). Shaowei Cui has collaborated with scholars based in China, Germany and Finland. Frequent co-authors include Shuo Wang, Rui Wang, Zheng Lou, Hang Liu, Xiaohui Zhao, Fengyu Cong, Shuo Wang, Shufang Zhao, Yu Wang and Linlin Li. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics and Information Fusion.
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.