Chaofei Fan
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neurobiology of Language and Bilingualism
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- Neuroscience and Neural Engineering
Papers in
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- EEG and Brain-Computer Interfaces 4
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- Speech Recognition and Synthesis 1
- Neural Networks and Applications 1
- Co-authors
- Erin M. Kunz (2 shared papers)Francis R. Willett (4 shared papers)Leigh R. Hochberg (2 shared papers)Matthew F. Glasser (2 shared papers)Eun Young Choi (2 shared papers)Jaimie M. Henderson (4 shared papers)Krishna V. Shenoy (2 shared papers)Guy H Wilson (2 shared papers)
- Journals
- Journal of Neural Engineering (1 paper)New England Journal of Medicine (1 paper)Nature (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Chaofei Fan
2 papers receiving 314 citations
Chaofei Fan's Hit Papers
Peers
Comparison fields: 5 of 49
- Cognitive Neuroscience 236
- Cellular and Molecular Neuroscience 94
- Health Informatics 4
- Human-Computer Interaction 17
- Signal Processing 23
Countries citing papers authored by Chaofei Fan
This map shows the geographic impact of Chaofei Fan'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 Chaofei Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaofei Fan more than expected).
Fields of papers citing papers by Chaofei Fan
This network shows the impact of papers produced by Chaofei Fan. 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 Chaofei Fan. The network helps show where Chaofei Fan may publish in the future.
Co-authors
The 20 scholars most cited alongside Chaofei Fan, 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 | A high-performance speech neuroprosthesis Hit paper breakdown → | 2023 | 254 |
| 2 | An Accurate and Rapidly Calibrating Speech Neuroprosthesis Hit paper breakdown → | 2024 | 66 |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 |
About Chaofei Fan
Chaofei Fan is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Signal Processing and Experimental and Cognitive Psychology, having authored 5 papers that have together received 320 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Speech Recognition and Synthesis (1 paper), Neuroscience and Neural Engineering (1 paper), Blind Source Separation Techniques (1 paper), Neural Networks and Applications (1 paper), Phonetics and Phonology Research (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Cognitive Neuroscience (236 citations), Cellular and Molecular Neuroscience (94 citations), Health Informatics (4 citations), Human-Computer Interaction (17 citations) and Signal Processing (23 citations). Chaofei Fan has collaborated with scholars based in United States and Norway. Frequent co-authors include Erin M. Kunz, Francis R. Willett, Leigh R. Hochberg, Matthew F. Glasser, Eun Young Choi, Jaimie M. Henderson, Krishna V. Shenoy, Guy H Wilson, Shaul Druckmann and Foram Kamdar. Their work appears in journals such as Journal of Neural Engineering, New England Journal of Medicine and Nature.
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.