Jong Chul Ye
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Optical Imaging and Spectroscopy Techniques
- Health Informatics top 0.5%
Papers in
-
- Advanced MRI Techniques and Applications 58
- Medical Imaging Techniques and Applications 55
- Optical Imaging and Spectroscopy Techniques 23
-
- Image and Signal Denoising Methods 35
- Advanced Image Processing Techniques 27
- Co-authors
- Yoseob Han (14 shared papers)Sungho Tak (12 shared papers)Sang Joon Park (15 shared papers)Yujin Oh (9 shared papers)Hyungjin Chung (20 shared papers)Hong Jung (7 shared papers)Kyong Hwan Jin (23 shared papers)Eung Yeop Kim (10 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (17 papers)Optics Express (9 papers)Medical Image Analysis (8 papers)IEEE Signal Processing Magazine (7 papers)NeuroImage (6 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Jong Chul Ye
273 papers receiving 10.5k citations
Jong Chul Ye's Hit Papers
Peers
Comparison fields: 5 of 187
- Radiology, Nuclear Medicine and Imaging 5.3k
- Health Informatics 203
- Computer Vision and Pattern Recognition 2.7k
- Biophysics 564
- Structural Biology 118
Countries citing papers authored by Jong Chul Ye
This map shows the geographic impact of Jong Chul 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 Jong Chul Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Chul Ye more than expected).
Fields of papers citing papers by Jong Chul Ye
This network shows the impact of papers produced by Jong Chul 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 Jong Chul Ye. The network helps show where Jong Chul Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong Chul 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 292 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets. Hit paper breakdown → | 2020 | 671 |
| 2 | k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI Hit paper breakdown → | 2008 | 526 |
| 3 | Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT Hit paper breakdown → | 2018 | 429 |
| 4 | Deep learning for tomographic image reconstruction Hit paper breakdown → | 2020 | 380 |
| 5 | Statistical analysis of fNIRS data: A comprehensive review Hit paper breakdown → | 2013 | 357 |
| 6 | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Hit paper breakdown → | 2022 | 311 |
| 7 | Score-based diffusion models for accelerated MRI Hit paper breakdown → | 2022 | 276 |
| 8 | 2018 | 257 | |
| 9 | ${k}$ -Space Deep Learning for Accelerated MRI Hit paper breakdown → | 2019 | 248 |
| 10 | 2009 | 243 | |
| 11 | 2018 | 234 | |
| 12 | CycleMorph: Cycle consistent unsupervised deformable image registration Hit paper breakdown → | 2021 | 209 |
| 13 | 2007 | 202 | |
| 14 | 2015 | 198 | |
| 15 | 2018 | 183 | |
| 16 | 2012 | 183 | |
| 17 | 2010 | 155 | |
| 18 | CLIPstyler: Image Style Transfer with a Single Text Condition Hit paper breakdown → | 2022 | 154 |
| 19 | 2017 | 154 | |
| 20 | 2017 | 153 |
About Jong Chul Ye
Jong Chul Ye is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics and Artificial Intelligence, having authored 292 papers that have together received 10.7k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (66 papers), Advanced MRI Techniques and Applications (58 papers), Medical Imaging Techniques and Applications (55 papers), Photoacoustic and Ultrasonic Imaging (47 papers), Image and Signal Denoising Methods (35 papers), Advanced Image Processing Techniques (27 papers), Advanced X-ray and CT Imaging (26 papers) and Optical Imaging and Spectroscopy Techniques (23 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (5.3k citations), Health Informatics (203 citations), Computer Vision and Pattern Recognition (2.7k citations), Biophysics (564 citations) and Structural Biology (118 citations). Jong Chul Ye has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Yoseob Han, Sungho Tak, Sang Joon Park, Yujin Oh, Hyungjin Chung, Hong Jung, Kyong Hwan Jin, Eung Yeop Kim, Jaejun Yoo and Ge Wang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Optics Express, Medical Image Analysis, IEEE Signal Processing Magazine and NeuroImage.
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.