Feng He
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 68
- Neural dynamics and brain function 21
- Neural and Behavioral Psychology Studies 9
- Functional Brain Connectivity Studies 7
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- Neuroscience and Neural Engineering 35
- Human-Computer Interaction top 5%
- Rehabilitation top 10%
- Neurology top 10%
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- Muscle activation and electromyography studies 17
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- Advanced Memory and Neural Computing 10
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- Emotion and Mood Recognition 8
- Co-authors
- Dong MingHongzhi QiMinpeng XuPeng ZhouWeibo YiZhongpeng WangKun WangXiaosong Gu
- Journals
- Journal of Neural Engineering (9 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (6 papers)IEEE Transactions on Biomedical Engineering (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng He
112 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 874
- Cellular and Molecular Neuroscience 416
- Human-Computer Interaction 111
- Rehabilitation 68
- Neurology 75
Countries citing papers authored by Feng He
This map shows the geographic impact of Feng He'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 Feng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng He more than expected).
Fields of papers citing papers by Feng He
This network shows the impact of papers produced by Feng He. 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 Feng He. The network helps show where Feng He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng He, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 27 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 12 | |
| 16 | 2018 | 56 | |
| 17 | 2016 | 48 | |
| 18 | 2014 | 44 | |
| 19 | Application of Oversampling Technique in Upgrading ADC’s Resolution in Weak Signal Detection | 2009 | 2 |
| 20 | Research of Bioelectricity Signal Detection Based on Oversampling | 2008 | 3 |
About Feng He
Feng He is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 117 papers that have together received 1.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (68 papers), Neuroscience and Neural Engineering (35 papers), Neural dynamics and brain function (21 papers), Muscle activation and electromyography studies (17 papers), Advanced Memory and Neural Computing (10 papers), Neural and Behavioral Psychology Studies (9 papers), Emotion and Mood Recognition (8 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Cognitive Neuroscience (874 citations), Cellular and Molecular Neuroscience (416 citations) and Human-Computer Interaction (111 citations). Feng He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dong Ming, Hongzhi Qi, Minpeng Xu, Peng Zhou, Weibo Yi, Zhongpeng Wang, Kun Wang, Xiaosong Gu, Xin Zhao and Long Chen. Their work appears in journals such as Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Biomedical Engineering, Frontiers in Neuroscience and IEEE Access.
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.