Chang Min Park
- Pulmonary and Respiratory Medicine top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Biomedical Engineering top 2%
- Surgery top 5%
- Oncology top 5%
- Co-authors
- Jin Mo GooEui Jin HwangChang Hyun LeeHyungjin KimSang Min LeeJong Hyuk LeeSoon Ho YoonKyung Hee Lee
- Topics
- Lung Cancer Diagnosis and Treatment (152 papers)Radiomics and Machine Learning in Medical Imaging (97 papers)Lung Cancer Treatments and Mutations (40 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- 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
- Pulmonary and Respiratory Medicine 5.4k
- Radiology, Nuclear Medicine and Imaging 5.2k
- Biomedical Engineering 1.2k
- Surgery 911
- Oncology 616
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 of co-authors of Chang Min Park
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Min Park. A scholar is included among the top collaborators of Chang Min Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang Min Park. Chang Min Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 69 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 25 | |
| 12 | 54 | |
| 13 | 32 | |
| 14 | 7 | |
| 15 | 29 | |
| 16 | 41 | |
| 17 | 121 | |
| 18 | 12 | |
| 19 | 22 | |
| 20 | Classification of Benign/Malignant PNGGOs using K-means algorithm in MDCT Images: A Preliminary Study | 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) and Lung Cancer Treatments and Mutations (40 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.