O. Yu
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Soil Science top 10%
- Agricultural Science and Fertilization
- Plant Growth and Agriculture Techniques
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Advanced MRI Techniques and Applications 4
- Advanced Neuroimaging Techniques and Applications 1
-
- Multiple Sclerosis Research Studies 3
- Co-authors
- Michel Caloin (2 shared papers)Jacques Chambron (9 shared papers)Y. Mauss (6 shared papers)Izzie Jacques Namer (5 shared papers)Bernard Eclancher (4 shared papers)Daniel Grucker (3 shared papers)Blandine Guignard (2 shared papers)Jérôme Steibel (2 shared papers)
- Journals
- Magnetic Resonance Imaging (6 papers)Annals of Botany (2 papers)Dialogues in Clinical Neuroscience (1 paper)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)Fetal Diagnosis and Therapy (1 paper)
- Partner nations
- France
In The Last Decade
O. Yu
12 papers receiving 421 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 187
- Soil Science 64
- Agronomy and Crop Science 50
- Forestry 17
- Pathology and Forensic Medicine 63
Countries citing papers authored by O. Yu
This map shows the geographic impact of O. Yu'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 O. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O. Yu more than expected).
Fields of papers citing papers by O. Yu
This network shows the impact of papers produced by O. Yu. 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 O. Yu. The network helps show where O. Yu may publish in the future.
Co-authors
The 20 scholars most cited alongside O. Yu, 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 | 1984 | 131 | |
| 2 | 1995 | 76 | |
| 3 | 1999 | 65 | |
| 4 | 2001 | 44 | |
| 5 | 2004 | 40 | |
| 6 | 2009 | 24 | |
| 7 | 1982 | 16 | |
| 8 | 2006 | 16 | |
| 9 | 2002 | 15 | |
| 10 | 2004 | 11 | |
| 11 | 1993 | 7 | |
| 12 | 1995 | 3 | |
| 13 | 2002 | 0 |
About O. Yu
O. Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Psychiatry and Mental health and Developmental Neuroscience, having authored 13 papers that have together received 448 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced MRI Techniques and Applications (4 papers), Image Retrieval and Classification Techniques (3 papers), Multiple Sclerosis Research Studies (3 papers), Epilepsy research and treatment (2 papers), Leaf Properties and Growth Measurement (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (187 citations), Soil Science (64 citations), Agronomy and Crop Science (50 citations), Forestry (17 citations) and Pathology and Forensic Medicine (63 citations). O. Yu has collaborated with scholars based in France. Frequent co-authors include Michel Caloin, Jacques Chambron, Y. Mauss, Izzie Jacques Namer, Bernard Eclancher, Daniel Grucker, Blandine Guignard, Jérôme Steibel, J.P. Macher and Jean‐Pierre Ghnassia. Their work appears in journals such as Magnetic Resonance Imaging, Annals of Botany, Dialogues in Clinical Neuroscience, Magnetic Resonance Materials in Physics Biology and Medicine and Fetal Diagnosis and Therapy.
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.