Minuk Ma
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- AI in cancer detection
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
- Oncology 8
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Kyungsu Kim (3 shared papers)Chang D. Yoo (3 shared papers)Junyeong Kim (3 shared papers)Sung-Jin Kim (2 shared papers)Trung X. Pham (1 shared paper)Seonwook Park (8 shared papers)Chan‐Young Ock (10 shared papers)Soo Ick Cho (8 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Research and Treatment (1 paper)Histopathology (1 paper)JCO Precision Oncology (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Minuk Ma
14 papers receiving 233 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 113
- Artificial Intelligence 114
- Radiology, Nuclear Medicine and Imaging 68
- Oncology 65
- Health Informatics 3
Countries citing papers authored by Minuk Ma
This map shows the geographic impact of Minuk Ma'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 Minuk Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minuk Ma more than expected).
Fields of papers citing papers by Minuk Ma
This network shows the impact of papers produced by Minuk Ma. 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 Minuk Ma. The network helps show where Minuk Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Minuk Ma, 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 | 2020 | 55 | |
| 2 | 2019 | 50 | |
| 3 | 2022 | 40 | |
| 4 | 2023 | 23 | |
| 5 | 2019 | 16 | |
| 6 | 2024 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 |
About Minuk Ma
Minuk Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 14 papers that have together received 235 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Cancer Genomics and Diagnostics (2 papers), Human Pose and Action Recognition (2 papers), AI in cancer detection (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Artificial Intelligence (114 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Oncology (65 citations) and Health Informatics (3 citations). Minuk Ma has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Kyungsu Kim, Chang D. Yoo, Junyeong Kim, Sung-Jin Kim, Trung X. Pham, Seonwook Park, Chan‐Young Ock, Soo Ick Cho, Sangjoon Choi and Seokhwi Kim. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Treatment, Histopathology, JCO Precision Oncology and European Journal of Cancer.
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.