Yeonggul Jang
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- Cardiac Imaging and Diagnostics 14
- Advanced MRI Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 3
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- Cardiovascular Function and Risk Factors 8
- Cardiac Valve Diseases and Treatments 3
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- Medical Image Segmentation Techniques 6
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- Advanced X-ray and CT Imaging 11
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- Coronary Interventions and Diagnostics 5
- Co-authors
- Hyuk‐Jae ChangYoungtaek HongHackjoon ShimSeongmin HaSung‐Hee JungHo Yub JungSekeun KimDongjin Han
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicineComputer Vision and Pattern Recognition
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Yeonggul Jang
28 papers receiving 187 citations
Peers
Comparison fields: 5 of 41
- Radiology, Nuclear Medicine and Imaging 92
- Cardiology and Cardiovascular Medicine 57
- Computer Vision and Pattern Recognition 46
- Health Informatics 3
- Biomedical Engineering 67
Countries citing papers authored by Yeonggul Jang
This map shows the geographic impact of Yeonggul Jang'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 Yeonggul Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeonggul Jang more than expected).
Fields of papers citing papers by Yeonggul Jang
This network shows the impact of papers produced by Yeonggul Jang. 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 Yeonggul Jang. The network helps show where Yeonggul Jang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yeonggul Jang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 21 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 14 | |
| 14 | 2018 | 19 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 0 | |
| 17 | 2016 | 9 | |
| 18 | 2016 | 21 | |
| 19 | 2015 | 17 | |
| 20 | 2015 | 6 |
About Yeonggul Jang
Yeonggul Jang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 194 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (14 papers), Advanced X-ray and CT Imaging (11 papers), Cardiovascular Function and Risk Factors (8 papers), Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (5 papers), Coronary Interventions and Diagnostics (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (92 citations), Cardiology and Cardiovascular Medicine (57 citations) and Computer Vision and Pattern Recognition (46 citations). Yeonggul Jang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hyuk‐Jae Chang, Youngtaek Hong, Hackjoon Shim, Seongmin Ha, Sung‐Hee Jung, Ho Yub Jung, Sekeun Kim, Dongjin Han, Hackjoon Shim and Il Dong Yun. Their work appears in journals such as PLoS ONE, Radiology and IEEE Access.
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.