Bing Ou
Impact in
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- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas
Papers in
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- Ultrasound Imaging and Elastography 12
- Surgery 4
- Hemodynamic Monitoring and Therapy 2
- Co-authors
- Baoming Luo (22 shared papers)Yanling Wen (3 shared papers)Hai-yun Yang (3 shared papers)Xiaoyun Xiao (8 shared papers)Hui Zhi (3 shared papers)Hui Zhi (8 shared papers)Feng Xia (1 shared paper)Hai-Yun Yang (6 shared papers)
- Journals
- Academic Radiology (2 papers)PLoS ONE (2 papers)Clinical Breast Cancer (2 papers)Journal of Ultrasound in Medicine (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Bing Ou
26 papers receiving 954 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 547
- Pathology and Forensic Medicine 114
- Biomedical Engineering 304
- Critical Care and Intensive Care Medicine 19
- Cancer Research 56
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-authors
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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 254 | |
| 2 | 2010 | 102 | |
| 3 | 2008 | 98 | |
| 4 | 2014 | 54 | |
| 5 | 2020 | 48 | |
| 6 | 2015 | 46 | |
| 7 | 2012 | 45 | |
| 8 | 2013 | 43 | |
| 9 | 2015 | 41 | |
| 10 | 2022 | 38 | |
| 11 | 2019 | 31 | |
| 12 | 2020 | 31 | |
| 13 | 2014 | 19 | |
| 14 | 2015 | 19 | |
| 15 | 2017 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2019 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2022 | 10 | |
| 20 | 2017 | 9 |
About Bing Ou
Bing Ou is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine, Biomedical Engineering and Molecular Biology, having authored 29 papers that have together received 974 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (12 papers), Ultrasound and Hyperthermia Applications (3 papers), Breast Lesions and Carcinomas (3 papers), Renal cell carcinoma treatment (2 papers), AI in cancer detection (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Ultrasound in Clinical Applications (2 papers) and Advanced Welding Techniques Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (547 citations), Pathology and Forensic Medicine (114 citations), Biomedical Engineering (304 citations), Critical Care and Intensive Care Medicine (19 citations) and Cancer Research (56 citations). Bing Ou has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Baoming Luo, Yanling Wen, Hai-yun Yang, Xiaoyun Xiao, Hui Zhi, Hui Zhi, Feng Xia, Hai-Yun Yang, Zizhuo Zhao and Bi‐Ling Liang. Their work appears in journals such as Academic Radiology, PLoS ONE, Clinical Breast Cancer, Journal of Ultrasound in Medicine and European Journal of Radiology.
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.