Chenfei Ye

3.3k citations
54 papers · 511 · h-index 14

Impact in

  • Neurology top 10%
    • Brain Tumor Detection and Classification
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces

Papers in

Chenfei Ye

50 papers receiving 507 citations

Peers

Chenfei Ye
Comparison fields: 5 of 80
  • Neurology 85
  • Cognitive Neuroscience 164
  • Radiology, Nuclear Medicine and Imaging 130
  • Health Informatics 8
  • Neurology 79
Replace Chiara Marzi with:
Chiara Marzi Italy
Annemie Ribbens Belgium
Vaanathi Sundaresan United Kingdom
Venkateswaran Rajagopalan United States
Syu‐Jyun Peng Taiwan
Lotta M. Ellingsen United States
Richard Joules United Kingdom
Leonie Henschel Germany
Nicolas Honnorat United States
Chenfei Ye relative to Chiara Marzi Italy Chiara Marzi's profile →
Citations per field
00.5×
Chiara Marzi · 1×
Citations per year

Countries citing papers authored by Chenfei Ye

Since Specialization
Citations

This map shows the geographic impact of Chenfei Ye'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 Chenfei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenfei Ye more than expected).

Fields of papers citing papers by Chenfei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenfei Ye. 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 Chenfei Ye. The network helps show where Chenfei Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Chenfei Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chenfei Ye Line = papers co-authored together Chenfei Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201840
3 202334
4 201929
5 202129
6 202328
7 201926
8 202022
9 202322
10 202220
11 201919
12 202415
13 201914
14 202113
15 202312
16 202211
17 202510
18 20159
19 20188
20 20237

About Chenfei Ye

Chenfei Ye is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, having authored 54 papers that have together received 511 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (17 papers), Medical Image Segmentation Techniques (9 papers), Brain Tumor Detection and Classification (9 papers), Advanced MRI Techniques and Applications (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Neural Network Applications (6 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Neurology (85 citations), Cognitive Neuroscience (164 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Health Informatics (8 citations) and Neurology (79 citations). Chenfei Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ting Ma, Yanwu Yang, Piu Chan, Susumu Mori, Yang Xiang, Haiyan Lv, Tao Wu, Junyan Sun, Xutao Guo and Linlin Gao. Their work appears in journals such as Human Brain Mapping, Frontiers in Neuroscience, NeuroImage Clinical, IEEE Transactions on Medical Imaging and Neural Networks.

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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