Kunio Doi
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Health Informatics top 0.5%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 81
- Medical Imaging Techniques and Applications 43
- COVID-19 diagnosis using AI 36
- Radiation Dose and Imaging 25
-
- Lung Cancer Diagnosis and Treatment 64
- Digital Radiography and Breast Imaging 55
- Co-authors
- Maryellen Lissak Giger (56 shared papers)Shigehiko Katsuragawa (61 shared papers)Heber MacMahon (63 shared papers)Junji Shiraishi (44 shared papers)Koji Uetsuka (52 shared papers)Hiroyuki Nakayama (83 shared papers)Qiang Li (28 shared papers)Heang‐Ping Chan (23 shared papers)
- Journals
- Medical Physics (77 papers)Experimental and Toxicologic Pathology (44 papers)EXPERIMENTAL ANIMALS (41 papers)Journal of Imaging Informatics in Medicine (18 papers)Experimental and Molecular Pathology (17 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Kunio Doi
505 papers receiving 13.8k citations
Kunio Doi's Hit Papers
Peers
Comparison fields: 5 of 193
- Radiology, Nuclear Medicine and Imaging 6.0k
- Health Informatics 204
- Pulmonary and Respiratory Medicine 3.9k
- Artificial Intelligence 4.0k
- Computer Vision and Pattern Recognition 2.4k
Countries citing papers authored by Kunio Doi
This map shows the geographic impact of Kunio Doi'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 Kunio Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Doi more than expected).
Fields of papers citing papers by Kunio Doi
This network shows the impact of papers produced by Kunio Doi. 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 Kunio Doi. The network helps show where Kunio Doi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunio Doi, 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 517 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Computer-aided diagnosis in medical imaging: Historical review, current status and future potential Hit paper breakdown → | 2007 | 1416 |
| 2 | Development of a Digital Image Database for Chest Radiographs With and Without a Lung Nodule Hit paper breakdown → | 2000 | 788 |
| 3 | 2003 | 310 | |
| 4 | 1987 | 265 | |
| 5 | 2003 | 222 | |
| 6 | 1988 | 208 | |
| 7 | 2006 | 201 | |
| 8 | 2002 | 200 | |
| 9 | 1999 | 181 | |
| 10 | 2011 | 178 | |
| 11 | 2007 | 175 | |
| 12 | 1991 | 173 | |
| 13 | 2011 | 155 | |
| 14 | 2011 | 154 | |
| 15 | 1998 | 144 | |
| 16 | 2006 | 141 | |
| 17 | 2003 | 129 | |
| 18 | 2004 | 121 | |
| 19 | 1984 | 121 | |
| 20 | 1988 | 119 |
About Kunio Doi
Kunio Doi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Oncology and Hepatology, having authored 517 papers that have together received 14.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (81 papers), AI in cancer detection (79 papers), Lung Cancer Diagnosis and Treatment (64 papers), Digital Radiography and Breast Imaging (55 papers), Medical Imaging Techniques and Applications (43 papers), Advanced X-ray and CT Imaging (40 papers), COVID-19 diagnosis using AI (36 papers) and Radiation Dose and Imaging (25 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.0k citations), Health Informatics (204 citations), Pulmonary and Respiratory Medicine (3.9k citations), Artificial Intelligence (4.0k citations) and Computer Vision and Pattern Recognition (2.4k citations). Kunio Doi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Maryellen Lissak Giger, Shigehiko Katsuragawa, Heber MacMahon, Junji Shiraishi, Koji Uetsuka, Hiroyuki Nakayama, Qiang Li, Heang‐Ping Chan, Shusuke Sone and Charles E. Metz. Their work appears in journals such as Medical Physics, Experimental and Toxicologic Pathology, EXPERIMENTAL ANIMALS, Journal of Imaging Informatics in Medicine and Experimental and Molecular Pathology.
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.