Chaofei Fan

733 total citations · 2 hit papers
5 papers, 265 citations indexed

About

Chaofei Fan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Chaofei Fan has authored 5 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Chaofei Fan's work include EEG and Brain-Computer Interfaces (4 papers), Neuroscience and Neural Engineering (2 papers) and Neurological disorders and treatments (1 paper). Chaofei Fan is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Neuroscience and Neural Engineering (2 papers) and Neurological disorders and treatments (1 paper). Chaofei Fan collaborates with scholars based in United States and Norway. Chaofei Fan's co-authors include Francis R. Willett, Jaimie M. Henderson, Leigh R. Hochberg, Matthew F. Glasser, Erin M. Kunz, Eun Young Choi, Shaul Druckmann, Krishna V. Shenoy, Donald T. Avansino and Foram Kamdar and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Neural Engineering.

In The Last Decade

Chaofei Fan

2 papers receiving 262 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A high-performance speech neuroprosthesis

2023 217 citations Francis R. Willett, Erin M. Kunz et al. Nature profile →
An Accurate and Rapidly Calibrating Speech Neuroprosthesis

2024 48 citations Maitreyee Wairagkar, Francis R. Willett et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chaofei Fan United States	2	203	91	56	30	28	5	265
Erin M. Kunz United States	3	207 1.0×	91 1.0×	56 1.0×	31 1.0×	28 1.0×	3	269
Foram Kamdar United States	3	180 0.9×	90 1.0×	52 0.9×	23 0.8×	30 1.1×	8	234
Margaret P. Seaton United States	3	229 1.1×	96 1.1×	58 1.0×	46 1.5×	19 0.7×	4	301
Griffin Milsap United States	10	280 1.4×	86 0.9×	55 1.0×	26 0.9×	29 1.0×	23	326
Adriana de Pesters United States	6	307 1.5×	93 1.0×	57 1.0×	30 1.0×	24 0.9×	9	342
Guy H Wilson United States	4	365 1.8×	145 1.6×	74 1.3×	32 1.1×	42 1.5×	7	430
Kaylo T. Littlejohn United States	5	259 1.3×	105 1.2×	64 1.1×	55 1.8×	23 0.8×	6	340
Jessica N. Kelemen United States	7	236 1.2×	136 1.5×	67 1.2×	13 0.4×	31 1.1×	9	265
Simanto Saha Australia	8	279 1.4×	105 1.2×	70 1.3×	17 0.6×	34 1.2×	22	353
Qinwan Rabbani United States	6	185 0.9×	73 0.8×	49 0.9×	24 0.8×	20 0.7×	10	224

Countries citing papers authored by Chaofei Fan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chaofei Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Chaofei Fan. A scholar is included among the top collaborators of Chaofei Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaofei Fan. Chaofei Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Fan, Chaofei, et al.. (2025). Brain-to-text decoding with context-aware neural representations and large language models. Journal of Neural Engineering. 22(5). 56026–56026.

2.

Wairagkar, Maitreyee, Francis R. Willett, Erin M. Kunz, et al.. (2024). An Accurate and Rapidly Calibrating Speech Neuroprosthesis. New England Journal of Medicine. 391(7). 609–618. 48 indexed citations breakdown →

3.

Fan, Chaofei, Jaimie M. Henderson, Christopher D. Manning, & Francis R. Willett. (2024). Towards a Quantitative Analysis of Coarticulation with a Phoneme-to-Articulatory Model. 3095–3099.

4.

Willett, Francis R., Erin M. Kunz, Chaofei Fan, et al.. (2023). A high-performance speech neuroprosthesis. Nature. 620(7976). 1031–1036. 217 indexed citations breakdown →

5.

Avansino, Donald T., Chaofei Fan, Jaimie M. Henderson, et al.. (2023). Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication. 42258–42270.

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.

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