Wookjin Choi
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Tae‐Sun ChoiWei LüJoseph O. DeasyJung Hun OhSadegh RiyahiJames MechalakosChia‐Ju LiuAndreas Rimner
- Topics
- Radiomics and Machine Learning in Medical Imaging (22 papers)Lung Cancer Diagnosis and Treatment (12 papers)Medical Imaging Techniques and Applications (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Wookjin Choi
32 papers receiving 673 citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 520
- Pulmonary and Respiratory Medicine 413
- Artificial Intelligence 156
- Biomedical Engineering 105
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Wookjin Choi
This map shows the geographic impact of Wookjin Choi'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 Wookjin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wookjin Choi more than expected).
Fields of papers citing papers by Wookjin Choi
This network shows the impact of papers produced by Wookjin Choi. 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 Wookjin Choi. The network helps show where Wookjin Choi may publish in the future.
Co-authorship network of co-authors of Wookjin Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Wookjin Choi. A scholar is included among the top collaborators of Wookjin Choi 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 Wookjin Choi. Wookjin Choi 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 29 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | 8 | |
| 20 | 152 |
About Wookjin Choi
Wookjin Choi is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 696 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (520 citations), Pulmonary and Respiratory Medicine (413 citations) and Health Informatics (15 citations). Wookjin Choi has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Tae‐Sun Choi, Wei Lü, Joseph O. Deasy, Jung Hun Oh, Sadegh Riyahi, James Mechalakos, Chia‐Ju Liu, Andreas Rimner, Wengen Chen and Charles S. White. Their work appears in journals such as Bioinformatics, International Journal of Radiation Oncology*Biology*Physics and Nutrients.
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.