Chenfei Ye

3.4k citations
57 papers · 1.9k · 1 hit paper · h-index 14

Impact in

Papers in

Chenfei Ye

53 papers receiving 1.8k citations

Chenfei Ye's Hit Papers

Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study 2020 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Chenfei Ye
Comparison fields: 5 of 129
  • Modeling and Simulation 578
  • Infectious Diseases 514
  • Neurology 96
  • Neurology 156
  • Cognitive Neuroscience 184
Replace Benjamin M. Rader with:
Benjamin M. Rader United States
Sijia Tian China
Yair Goldberg Israel
Liane S. Canas United Kingdom
Robert G. Moss United States
Hagai Rossman Israel
Yan Bai China
Andrea Lovato Italy
Amanda Weir United Kingdom
Chenfei Ye relative to Benjamin M. Rader United States Benjamin M. Rader's profile →
Citations per field
00.5×2×4×6×7.3×
Benjamin M. Rader · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study
Hit paper breakdown →
20201280
2 201965
3 201843
4 202342
5 202335
6 201933
7 202131
8 201926
9 202325
10 202024
11 202223
12 201921
13 202419
14 202316
15 202114
16 202213
17 201911
18 201511
19 202511
20 20188

About Chenfei Ye

Chenfei Ye is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition and Psychiatry and Mental health, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (17 papers), Brain Tumor Detection and Classification (9 papers), Medical Image Segmentation Techniques (9 papers), Advanced MRI Techniques and Applications (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Neural Network Applications (6 papers) and Dementia and Cognitive Impairment Research (5 papers). The work is most often cited by research in Modeling and Simulation (578 citations), Infectious Diseases (514 citations), Neurology (96 citations), Neurology (156 citations) and Cognitive Neuroscience (184 citations). Chenfei Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ting Ma, Yanwu Yang, Yang Xiang, Susumu Mori, Piu Chan, Haiyan Lv, Xutao Guo, Tao Wu, Junyan Sun and Linlin Gao. Their work appears in journals such as Human Brain Mapping, Frontiers in Neuroscience, NeuroImage Clinical, IEEE Transactions on Medical Imaging and Frontiers in Human Neuroscience.

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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