Chenfei Ye

3.2k citations
52 papers · 468 · h-index 13

Impact in

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

Papers in

Chenfei Ye

47 papers receiving 464 citations

Peers

Chenfei Ye
Comparison fields: 5 of 85
  • Neurology 90
  • Cognitive Neuroscience 181
  • Radiology, Nuclear Medicine and Imaging 157
  • Neurology 86
  • Health Informatics 7
Replace Richard Joules with:
Richard Joules United Kingdom
Venkateswaran Rajagopalan United States
Chiara Marzi Italy
Syu‐Jyun Peng Taiwan
Leonie Henschel Germany
Tijn M. Schouten Netherlands
Farnaz Farokhian China
Eva Janoušová Czechia
Santiago Estrada Germany
Chenfei Ye relative to Richard Joules United Kingdom Richard Joules's profile →
Citations per field
00.5×2.9×
Richard Joules · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201838
3 201929
4 202128
5 202328
6 202327
7 201926
8 202022
9 201919
10 202318
11 202217
12 201914
13 202112
14 202410
15 20239
16 20159
17 20228
18 20188
19 20237
20 20257

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 52 papers that have together received 468 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Advanced Neuroimaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (9 papers), Brain Tumor Detection and Classification (9 papers), Medical Image Segmentation Techniques (9 papers), Dementia and Cognitive Impairment Research (6 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 (90 citations), Cognitive Neuroscience (181 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Neurology (86 citations) and Health Informatics (7 citations). Chenfei Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ting Ma, Yanwu Yang, Susumu Mori, Piu Chan, Yang Xiang, Haiyan Lv, Junyan Sun, Linlin Gao, Xutao Guo and Tao Wu. Their work appears in journals such as Human Brain Mapping, NeuroImage Clinical, Frontiers in Neuroscience, IEEE Transactions on Medical Imaging and Journal of Proteome Research.

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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