Chen Ye

434 citations
38 papers · 313 · h-index 11

Impact in

Papers in

Chen Ye

34 papers receiving 311 citations

Peers

Chen Ye
Comparison fields: 5 of 71
  • Ophthalmology 49
  • Radiology, Nuclear Medicine and Imaging 78
  • Acoustics and Ultrasonics 3
  • Computer Vision and Pattern Recognition 66
  • Biomedical Engineering 138
Replace Neelam Sinha with:
Neelam Sinha India
John Galeotti United States
Boris I. Gramatikov United States
Nisan Ozana Israel
Antonios Perperidis United Kingdom
Mohammad Eslami Iran
Sundaresh Ram United States
Juan J. Cerrolaza United States
Lingjiao Pan China
Sara El Hadji Italy
Chen Ye relative to Neelam Sinha India Neelam Sinha's profile →
Citations per field
00.5×4.2×
Neelam Sinha · 1×
Citations per year

Countries citing papers authored by Chen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen 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 Chen Ye Line = papers co-authored together Chen Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201936
2 202133
3 201830
4 202222
5 202119
6 202116
7 202215
8 201814
9 202213
10 201712
11 201611
12 202110
13 202010
14 20189
15 20227
16 20206
17 20215
18 20225
19 20225
20 20225

About Chen Ye

Chen Ye is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Ophthalmology, having authored 38 papers that have together received 313 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (9 papers), ECG Monitoring and Analysis (6 papers), Glaucoma and retinal disorders (6 papers), Retinal Imaging and Analysis (6 papers), Advanced Adaptive Filtering Techniques (5 papers), Context-Aware Activity Recognition Systems (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Ophthalmology (49 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Acoustics and Ultrasonics (3 citations), Computer Vision and Pattern Recognition (66 citations) and Biomedical Engineering (138 citations). Chen Ye has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Tomoaki Ohtsuki, Kentaroh Toyoda, Mondher Bouazizi, Guan Gui, Li Xu, William Robert Kwapong, Wendan Tao, Bo Wu, Hideaki Haneishi and Junfeng Liu. Their work appears in journals such as Frontiers in Aging Neuroscience, Medical Physics, IEEE Access, IEEE Transactions on Biomedical Engineering and Scientific Reports.

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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