Il Yong Chun
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Jeffrey A. FesslerZhengyu HuangThomas M. TalavageTheodore B. NorrisBen AdcockYuni K. DewarajaChe‐Hung LiuZhaohui Zhong
- Topics
- Medical Imaging Techniques and Applications (12 papers)Sparse and Compressive Sensing Techniques (11 papers)Advanced MRI Techniques and Applications (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionMedia Technology
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Il Yong Chun
31 papers receiving 510 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 224
- Biomedical Engineering 192
- Computer Vision and Pattern Recognition 121
- Computational Mechanics 94
- Electrical and Electronic Engineering 90
Countries citing papers authored by Il Yong Chun
This map shows the geographic impact of Il Yong Chun'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 Il Yong Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Il Yong Chun more than expected).
Fields of papers citing papers by Il Yong Chun
This network shows the impact of papers produced by Il Yong Chun. 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 Il Yong Chun. The network helps show where Il Yong Chun may publish in the future.
Co-authorship network of co-authors of Il Yong Chun
This figure shows the co-authorship network connecting the top 25 collaborators of Il Yong Chun. A scholar is included among the top collaborators of Il Yong Chun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Il Yong Chun. Il Yong Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 24 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 30 | |
| 10 | Improved low-count quantitative PET reconstruction with a variational neural network. | 4 |
| 11 | 1 | |
| 12 | 67 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 49 |
About Il Yong Chun
Il Yong Chun is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 528 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (224 citations), Computer Vision and Pattern Recognition (121 citations) and Media Technology (40 citations). Il Yong Chun has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jeffrey A. Fessler, Zhengyu Huang, Thomas M. Talavage, Theodore B. Norris, Ben Adcock, Yuni K. Dewaraja, Che‐Hung Liu, Zhaohui Zhong, Saiprasad Ravishankar and Minmin Zhou. Their work appears in journals such as Nature Communications, Nature Photonics and IEEE Transactions on Image Processing.
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.