Bing Ou
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- Ultrasound Imaging and Elastography 13
- MRI in cancer diagnosis 3
- Radiomics and Machine Learning in Medical Imaging 2
- Biomedical Engineering top 5%
- Photoacoustic and Ultrasonic Imaging 8
- Ultrasound and Hyperthermia Applications 4
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 6
- Mechanics of Materials top 10%
- Ultrasonics and Acoustic Wave Propagation 4
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- AI in cancer detection 4
- Cited by
- Radiology, Nuclear Medicine and ImagingBiomedical EngineeringPathology and Forensic Medicine
- Partner nations
- ChinaUnited States
In The Last Decade
Bing Ou
24 papers receiving 887 citations
Peers
Comparison fields: 5 of 71
- Radiology, Nuclear Medicine and Imaging 659
- Biomedical Engineering 496
- Pathology and Forensic Medicine 159
- Mechanics of Materials 151
- Cancer Research 82
Countries citing papers authored by Bing Ou
This map shows the geographic impact of Bing 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 Bing Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ou more than expected).
Fields of papers citing papers by Bing Ou
This network shows the impact of papers produced by Bing 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 Bing Ou. The network helps show where Bing Ou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing 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 | 2024 | 3 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 10 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 16 | |
| 7 | 2019 | 6 | |
| 8 | 2017 | 16 | |
| 9 | 2017 | 0 | |
| 10 | 2015 | 41 | |
| 11 | 2015 | 18 | |
| 12 | 2015 | 13 | |
| 13 | 2015 | 43 | |
| 14 | 2014 | 53 | |
| 15 | 2014 | 19 | |
| 16 | 2013 | 41 | |
| 17 | 2010 | 99 | |
| 18 | [Model establishment of liver fibrosis in oral arsenic solution exposed mice]. | 2009 | 2 |
| 19 | 2008 | 97 | |
| 20 | 2007 | 246 |
About Bing Ou
Bing Ou is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Critical Care and Intensive Care Medicine, having authored 26 papers that have together received 903 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (13 papers), Photoacoustic and Ultrasonic Imaging (8 papers), Breast Lesions and Carcinomas (6 papers), Ultrasound and Hyperthermia Applications (4 papers), AI in cancer detection (4 papers), Ultrasonics and Acoustic Wave Propagation (4 papers), MRI in cancer diagnosis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (659 citations), Biomedical Engineering (496 citations) and Pathology and Forensic Medicine (159 citations). Bing Ou has collaborated with scholars based in China and United States. Frequent co-authors include Baoming Luo, Yanling Wen, Hai-yun Yang, Xiaoyun Xiao, Hui Zhi, Hui Zhi, X Y Feng, Hai-Yun Yang, Zizhuo Zhao and Bi‐Ling Liang. Their work appears in journals such as Clinical Breast Cancer, Academic Radiology, Shock, Journal of Ultrasound in Medicine and Ultrasound in Medicine & Biology.
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.