Juhun Lee
Impact in
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- Advanced Combustion Engine Technologies
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
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- AI in cancer detection 16
- Co-authors
- Robert M. Nishikawa (22 shared papers)Kunsoo Huh (1 shared paper)Jin‐Woo Jung (1 shared paper)Mia K. Markey (12 shared papers)Gregory P. Reece (10 shared papers)Melissa A. Crosby (5 shared papers)Elisabeth K. Beahm (5 shared papers)Ingrid Reiser (8 shared papers)
- Journals
- Medical Physics (6 papers)SAE technical papers on CD-ROM/SAE technical paper series (2 papers)Metallurgical and Materials Transactions B (1 paper)Breast Cancer Research (1 paper)Chemical Engineering Science (1 paper)
- Partner nations
- United StatesSouth KoreaPoland
In The Last Decade
Juhun Lee
55 papers receiving 470 citations
Peers
Comparison fields: 5 of 77
- Fluid Flow and Transfer Processes 49
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 98
- Artificial Intelligence 122
- Pulmonary and Respiratory Medicine 96
Countries citing papers authored by Juhun Lee
This map shows the geographic impact of Juhun Lee'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 Juhun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juhun Lee more than expected).
Fields of papers citing papers by Juhun Lee
This network shows the impact of papers produced by Juhun Lee. 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 Juhun Lee. The network helps show where Juhun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Juhun Lee, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2006 | 46 | |
| 3 | 2016 | 37 | |
| 4 | 2000 | 27 | |
| 5 | 2011 | 26 | |
| 6 | 2017 | 19 | |
| 7 | 2011 | 17 | |
| 8 | 2023 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2012 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2017 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2012 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 6 |
About Juhun Lee
Juhun Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Fluid Flow and Transfer Processes, Pulmonary and Respiratory Medicine and Automotive Engineering, having authored 60 papers that have together received 485 indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Digital Radiography and Breast Imaging (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Breast Implant and Reconstruction (7 papers), Advanced Combustion Engine Technologies (6 papers), Vehicle emissions and performance (4 papers), Combustion and flame dynamics (4 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (49 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Artificial Intelligence (122 citations) and Pulmonary and Respiratory Medicine (96 citations). Juhun Lee has collaborated with scholars based in United States, South Korea and Poland. Frequent co-authors include Robert M. Nishikawa, Kunsoo Huh, Jin‐Woo Jung, Mia K. Markey, Gregory P. Reece, Melissa A. Crosby, Elisabeth K. Beahm, Ingrid Reiser, John M. Boone and Choongsik Bae. Their work appears in journals such as Medical Physics, SAE technical papers on CD-ROM/SAE technical paper series, Metallurgical and Materials Transactions B, Breast Cancer Research and Chemical Engineering Science.
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.