Hackjoon Shim
Impact in
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- Cardiac Imaging and Diagnostics
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
Papers in
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- Cardiac Imaging and Diagnostics 8
- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 5
- Radiation Dose and Imaging 4
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- Medical Image Segmentation Techniques 17
- Co-authors
- Hyuk‐Jae Chang (20 shared papers)Cheng Tao (4 shared papers)Il Dong Yun (8 shared papers)Chian Kent Kwoh (4 shared papers)Kyongtae T. Bae (5 shared papers)Samuel Chang (3 shared papers)Yeonggul Jang (13 shared papers)Youngtaek Hong (9 shared papers)
- Journals
- IEEE Access (3 papers)Computers in Biology and Medicine (2 papers)Radiology (2 papers)Materials Research Innovations (2 papers)Acta Radiologica (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hackjoon Shim
50 papers receiving 581 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 224
- Rheumatology 100
- Computer Vision and Pattern Recognition 155
- Health Informatics 5
- Biomedical Engineering 136
Countries citing papers authored by Hackjoon Shim
This map shows the geographic impact of Hackjoon Shim'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 Hackjoon Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hackjoon Shim more than expected).
Fields of papers citing papers by Hackjoon Shim
This network shows the impact of papers produced by Hackjoon Shim. 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 Hackjoon Shim. The network helps show where Hackjoon Shim may publish in the future.
Co-authors
The 25 scholars most cited alongside Hackjoon Shim, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 74 | |
| 2 | 2012 | 59 | |
| 3 | 2013 | 46 | |
| 4 | 2009 | 37 | |
| 5 | 2011 | 31 | |
| 6 | 2022 | 29 | |
| 7 | 2006 | 26 | |
| 8 | 2018 | 25 | |
| 9 | 2009 | 21 | |
| 10 | 2021 | 17 | |
| 11 | 2005 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2014 | 13 | |
| 14 | 2021 | 11 | |
| 15 | 2006 | 11 | |
| 16 | 2011 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2015 | 9 |
About Hackjoon Shim
Hackjoon Shim is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Rheumatology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 596 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Cardiac Imaging and Diagnostics (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (7 papers), Medical Imaging and Analysis (5 papers), Medical Imaging Techniques and Applications (5 papers) and Radiation Dose and Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (224 citations), Rheumatology (100 citations), Computer Vision and Pattern Recognition (155 citations), Health Informatics (5 citations) and Biomedical Engineering (136 citations). Hackjoon Shim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyuk‐Jae Chang, Cheng Tao, Il Dong Yun, Chian Kent Kwoh, Kyongtae T. Bae, Samuel Chang, Yeonggul Jang, Youngtaek Hong, Sang Uk Lee and Eun‐Ah Park. Their work appears in journals such as IEEE Access, Computers in Biology and Medicine, Radiology, Materials Research Innovations and Acta Radiologica.
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.