Chen Ye
Impact in
- Ophthalmology top 10%
-
- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
Papers in
-
- Non-Invasive Vital Sign Monitoring 9
-
- MRI in cancer diagnosis 3
- Retinal Imaging and Analysis 3
- Co-authors
- Tomoaki Ohtsuki (15 shared papers)Kentaroh Toyoda (6 shared papers)Mondher Bouazizi (4 shared papers)Guan Gui (7 shared papers)Li Xu (5 shared papers)Bo Wu (3 shared papers)Hideaki Haneishi (6 shared papers)William Robert Kwapong (4 shared papers)
- Journals
- Medical Physics (3 papers)Frontiers in Aging Neuroscience (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)IEEE Access (2 papers)Bioactive Materials (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Chen Ye
34 papers receiving 329 citations
Peers
Comparison fields: 5 of 72
- Ophthalmology 28
- Cardiology and Cardiovascular Medicine 69
- Computer Vision and Pattern Recognition 69
- Acoustics and Ultrasonics 3
- Biomedical Engineering 141
Countries citing papers authored by Chen Ye
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 38 | |
| 2 | 2021 | 37 | |
| 3 | 2018 | 31 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
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 Computational Mechanics, having authored 39 papers that have together received 331 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (9 papers), ECG Monitoring and Analysis (6 papers), Context-Aware Activity Recognition Systems (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Heart Rate Variability and Autonomic Control (4 papers), MRI in cancer diagnosis (3 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Ophthalmology (28 citations), Cardiology and Cardiovascular Medicine (69 citations), Computer Vision and Pattern Recognition (69 citations), Acoustics and Ultrasonics (3 citations) and Biomedical Engineering (141 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, Bo Wu, Hideaki Haneishi, William Robert Kwapong, Shin-ya Matsushita and Junfeng Liu. Their work appears in journals such as Medical Physics, Frontiers in Aging Neuroscience, IEEE Transactions on Biomedical Engineering, IEEE Access and Bioactive Materials.
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.