Jongduk Baek
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Biomedical Engineering top 5%
- Advanced X-ray and CT Imaging
Papers in
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- Medical Imaging Techniques and Applications 92
- Radiation Dose and Imaging 58
- Radiomics and Machine Learning in Medical Imaging 5
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- Advanced X-ray and CT Imaging 73
- Co-authors
- Norbert J. Pelc (20 shared papers)Hyunjung Shim (16 shared papers)Angel R. Pineda (1 shared paper)Seung-Hoon Lee (1 shared paper)Jeongyun Kim (1 shared paper)Chulhong Kim (2 shared papers)Dosik Hwang (2 shared papers)Subok Park (3 shared papers)
- Journals
- Medical Physics (28 papers)Physics in Medicine and Biology (8 papers)Optics Express (7 papers)PLoS ONE (6 papers)IEEE Access (5 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Jongduk Baek
97 papers receiving 844 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 698
- Biomedical Engineering 609
- Radiation 68
- Computer Vision and Pattern Recognition 122
- Pulmonary and Respiratory Medicine 188
Countries citing papers authored by Jongduk Baek
This map shows the geographic impact of Jongduk Baek'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 Jongduk Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongduk Baek more than expected).
Fields of papers citing papers by Jongduk Baek
This network shows the impact of papers produced by Jongduk Baek. 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 Jongduk Baek. The network helps show where Jongduk Baek may publish in the future.
Co-authors
The 25 scholars most cited alongside Jongduk Baek, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | 2010 | 57 | |
| 3 | 2013 | 57 | |
| 4 | 2011 | 46 | |
| 5 | 2005 | 40 | |
| 6 | 2022 | 32 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 24 | |
| 9 | 2014 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2021 | 23 | |
| 12 | 2014 | 20 | |
| 13 | 2021 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2014 | 15 | |
| 18 | 2011 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2011 | 13 |
About Jongduk Baek
Jongduk Baek is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 107 papers that have together received 859 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (92 papers), Advanced X-ray and CT Imaging (73 papers), Radiation Dose and Imaging (58 papers), Digital Radiography and Breast Imaging (33 papers), AI in cancer detection (11 papers), Image and Signal Denoising Methods (10 papers), Advanced Image Processing Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (698 citations), Biomedical Engineering (609 citations), Radiation (68 citations), Computer Vision and Pattern Recognition (122 citations) and Pulmonary and Respiratory Medicine (188 citations). Jongduk Baek has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Norbert J. Pelc, Hyunjung Shim, Angel R. Pineda, Seung-Hoon Lee, Jeongyun Kim, Chulhong Kim, Dosik Hwang, Subok Park, Bruno De Man and Chulhee Han. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Optics Express, PLoS ONE 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.