Feng Wan
Impact in
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 91
- Neural dynamics and brain function 31
- Neural and Behavioral Psychology Studies 20
- Functional Brain Connectivity Studies 13
- Co-authors
- Chi Man Wong (46 shared papers)Mang I Vai (48 shared papers)Peng Un Mak (40 shared papers)Agostinho Rosa (24 shared papers)Ze Wang (30 shared papers)Pui‐In Mak (35 shared papers)Wenya Nan (23 shared papers)Xun Chen (4 shared papers)
In The Last Decade
Feng Wan
245 papers receiving 4.9k citations
Feng Wan's Hit Papers
Peers
Comparison fields: 5 of 172
- Cognitive Neuroscience 2.4k
- Human-Computer Interaction 383
- Experimental and Cognitive Psychology 725
- Cellular and Molecular Neuroscience 701
- Signal Processing 426
Countries citing papers authored by Feng Wan
This map shows the geographic impact of Feng Wan'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 Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Wan more than expected).
Fields of papers citing papers by Feng Wan
This network shows the impact of papers produced by Feng Wan. 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 Wan. The network helps show where Feng Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Wan, 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 262 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention Hit paper breakdown → | 2020 | 389 |
| 2 | 2010 | 255 | |
| 3 | 2020 | 170 | |
| 4 | 2012 | 169 | |
| 5 | 2014 | 152 | |
| 6 | 2012 | 110 | |
| 7 | 2012 | 107 | |
| 8 | 2019 | 106 | |
| 9 | 2020 | 100 | |
| 10 | 2020 | 91 | |
| 11 | 2020 | 90 | |
| 12 | 2016 | 86 | |
| 13 | 2022 | 79 | |
| 14 | 2020 | 76 | |
| 15 | 2021 | 75 | |
| 16 | 2022 | 74 | |
| 17 | 2010 | 73 | |
| 18 | 2013 | 72 | |
| 19 | 2014 | 64 | |
| 20 | 2020 | 63 |
About Feng Wan
Feng Wan is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Control and Systems Engineering, Signal Processing and Artificial Intelligence, having authored 262 papers that have together received 5.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (91 papers), Neural dynamics and brain function (31 papers), Blind Source Separation Techniques (27 papers), Neuroscience and Neural Engineering (22 papers), Neural and Behavioral Psychology Studies (20 papers), ECG Monitoring and Analysis (15 papers), Neural Networks and Applications (14 papers) and Functional Brain Connectivity Studies (13 papers). The work is most often cited by research in Cognitive Neuroscience (2.4k citations), Human-Computer Interaction (383 citations), Experimental and Cognitive Psychology (725 citations), Cellular and Molecular Neuroscience (701 citations) and Signal Processing (426 citations). Feng Wan has collaborated with scholars based in Macao, China and Hong Kong. Frequent co-authors include Chi Man Wong, Mang I Vai, Peng Un Mak, Agostinho Rosa, Ze Wang, Pui‐In Mak, Wenya Nan, Xun Chen, Chang Li and Yong Hu. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Neural Engineering, IEEE Transactions on Affective Computing, Biomedical Signal Processing and Control and BioMedical Engineering OnLine.
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.