Yangming Ou
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
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- Radiomics and Machine Learning in Medical Imaging 15
- Advanced Neuroimaging Techniques and Applications 11
- MRI in cancer diagnosis 8
- Medical Imaging Techniques and Applications 8
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- Medical Image Segmentation Techniques 19
- Co-authors
- Christos DavatzikosNikos ParagiosAristeidis SotirasJimit DoshiGüray ErusP. Ellen GrantXiao DaBilwaj Gaonkar
- Journals
- Medical Image Analysis (5 papers)NeuroImage (5 papers)Scientific Reports (3 papers)Academic Radiology (3 papers)Cerebral Cortex (3 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Yangming Ou
90 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 1.1k
- Neurology 293
- Computer Vision and Pattern Recognition 578
- Health Informatics 33
- Cognitive Neuroscience 463
Countries citing papers authored by Yangming Ou
This map shows the geographic impact of Yangming Ou'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 Yangming Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangming Ou more than expected).
Fields of papers citing papers by Yangming Ou
This network shows the impact of papers produced by Yangming Ou. 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 Yangming Ou. The network helps show where Yangming Ou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yangming Ou, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 49 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 22 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 30 | |
| 18 | 2017 | 17 | |
| 19 | 2017 | 272 | |
| 20 | 2012 | 10 |
About Yangming Ou
Yangming Ou is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health, Neurology and Cognitive Neuroscience, having authored 95 papers that have together received 2.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Fetal and Pediatric Neurological Disorders (12 papers), Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Neonatal and fetal brain pathology (9 papers), MRI in cancer diagnosis (8 papers) and Medical Imaging Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Neurology (293 citations), Computer Vision and Pattern Recognition (578 citations), Health Informatics (33 citations) and Cognitive Neuroscience (463 citations). Yangming Ou has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Christos Davatzikos, Nikos Paragios, Aristeidis Sotiras, Jimit Doshi, Güray Erus, P. Ellen Grant, Xiao Da, Bilwaj Gaonkar, Jayashree Kalpathy–Cramer and Lilla Zöllei. Their work appears in journals such as Medical Image Analysis, NeuroImage, Scientific Reports, Academic Radiology and Cerebral Cortex.
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.