Chang Min Park
- Health Informatics top 0.1%
-
- Radiomics and Machine Learning in Medical Imaging 97
- COVID-19 diagnosis using AI 35
- Medical Imaging Techniques and Applications 34
- Pulmonary and Respiratory Medicine top 0.2%
- Lung Cancer Diagnosis and Treatment 152
- Lung Cancer Treatments and Mutations 40
- Medical Imaging and Pathology Studies 39
- Pleural and Pulmonary Diseases 30
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 21
- Microbiology top 2%
- Co-authors
- Jin Mo GooEui Jin HwangChang Hyun LeeHyungjin KimSang Min LeeJong Hyuk LeeSoon Ho YoonKyung Hee Lee
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- New England Journal of Medicine (2 papers)Nature Communications (1 paper)PLoS ONE (11 papers)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Chang Min Park
259 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Health Informatics 455
- Radiology, Nuclear Medicine and Imaging 5.2k
- Pulmonary and Respiratory Medicine 5.4k
- Critical Care and Intensive Care Medicine 389
- Microbiology 41
Countries citing papers authored by Chang Min Park
This map shows the geographic impact of Chang Min Park'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 Chang Min Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Min Park more than expected).
Fields of papers citing papers by Chang Min Park
This network shows the impact of papers produced by Chang Min Park. 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 Chang Min Park. The network helps show where Chang Min Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang Min Park, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 69 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 54 | |
| 13 | 2020 | 32 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 29 | |
| 16 | 2020 | 41 | |
| 17 | 2019 | 121 | |
| 18 | 2016 | 12 | |
| 19 | 2011 | 22 | |
| 20 | Classification of Benign/Malignant PNGGOs using K-means algorithm in MDCT Images: A Preliminary Study | 2009 | 1 |
About Chang Min Park
Chang Min Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics, having authored 272 papers that have together received 8.9k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (152 papers), Radiomics and Machine Learning in Medical Imaging (97 papers), Lung Cancer Treatments and Mutations (40 papers), Medical Imaging and Pathology Studies (39 papers), COVID-19 diagnosis using AI (35 papers), Medical Imaging Techniques and Applications (34 papers), Pleural and Pulmonary Diseases (30 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers). The work is most often cited by research in Health Informatics (455 citations), Radiology, Nuclear Medicine and Imaging (5.2k citations) and Pulmonary and Respiratory Medicine (5.4k citations). Chang Min Park has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Jin Mo Goo, Eui Jin Hwang, Chang Hyun Lee, Hyungjin Kim, Sang Min Lee, Jong Hyuk Lee, Soon Ho Yoon, Kyung Hee Lee, Hyun Ju Lee and Sang Joon Park. Their work appears in journals such as New England Journal of Medicine, Nature Communications and PLoS ONE.
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.