Fo Hu
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
-
- Muscle activation and electromyography studies 10
- Advanced Sensor and Energy Harvesting Materials 6
- Prosthetics and Rehabilitation Robotics 4
-
- EEG and Brain-Computer Interfaces 12
- Co-authors
- Bin Zhou (8 shared papers)Xusheng Yang (4 shared papers)Wen‐An Zhang (3 shared papers)Lekai Zhang (7 shared papers)Yanzheng Lu (6 shared papers)Hong Wang (5 shared papers)Hong Wang (4 shared papers)Hao Tang (3 shared papers)
- Journals
- Biomedical Signal Processing and Control (4 papers)Journal of Neural Engineering (2 papers)IEEE Sensors Journal (2 papers)International Journal of Neural Systems (2 papers)Journal of Engineering Design (2 papers)
- Partner nations
- China
In The Last Decade
Fo Hu
27 papers receiving 307 citations
Fo Hu's Hit Papers
Peers
Comparison fields: 5 of 64
- Human-Computer Interaction 63
- Cognitive Neuroscience 102
- Physical Therapy, Sports Therapy and Rehabilitation 18
- Rehabilitation 22
- Experimental and Cognitive Psychology 45
Countries citing papers authored by Fo Hu
This map shows the geographic impact of Fo Hu'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 Fo Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fo Hu more than expected).
Fields of papers citing papers by Fo Hu
This network shows the impact of papers produced by Fo Hu. 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 Fo Hu. The network helps show where Fo Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fo Hu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network With Brain Region Partitioning Strategy Hit paper breakdown → | 2024 | 48 |
| 2 | 2020 | 40 | |
| 3 | 2021 | 31 | |
| 4 | 2022 | 24 | |
| 5 | 2021 | 21 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2025 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2024 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2018 | 3 |
About Fo Hu
Fo Hu is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 312 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (10 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Emotion and Mood Recognition (5 papers), Prosthetics and Rehabilitation Robotics (4 papers), Color perception and design (3 papers), Human Pose and Action Recognition (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (63 citations), Cognitive Neuroscience (102 citations), Physical Therapy, Sports Therapy and Rehabilitation (18 citations), Rehabilitation (22 citations) and Experimental and Cognitive Psychology (45 citations). Fo Hu has collaborated with scholars based in China. Frequent co-authors include Bin Zhou, Xusheng Yang, Wen‐An Zhang, Lekai Zhang, Yanzheng Lu, Hong Wang, Hong Wang, Hao Tang, Jichi Chen and Zhihan Zhang. Their work appears in journals such as Biomedical Signal Processing and Control, Journal of Neural Engineering, IEEE Sensors Journal, International Journal of Neural Systems and Journal of Engineering Design.
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.