Bing Ou

1.2k total citations
26 papers, 903 citations indexed

About

Bing Ou is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Bing Ou has authored 26 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Bing Ou's work include Ultrasound Imaging and Elastography (13 papers), Photoacoustic and Ultrasonic Imaging (8 papers) and Breast Lesions and Carcinomas (6 papers). Bing Ou is often cited by papers focused on Ultrasound Imaging and Elastography (13 papers), Photoacoustic and Ultrasonic Imaging (8 papers) and Breast Lesions and Carcinomas (6 papers). Bing Ou collaborates with scholars based in China and United States. Bing Ou's 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 and has published in prestigious journals such as PLoS ONE, Oncogene and European Radiology.

In The Last Decade

Bing Ou

24 papers receiving 887 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bing Ou China 16 659 496 163 159 151 26 903
Kim Thomson United Kingdom 12 991 1.5× 868 1.8× 78 0.5× 131 0.8× 335 2.2× 17 1.2k
B. Cavanaugh United States 8 668 1.0× 484 1.0× 148 0.9× 103 0.6× 213 1.4× 13 816
Katrin Brauer United Kingdom 6 754 1.1× 628 1.3× 69 0.4× 78 0.5× 258 1.7× 9 905
Sebastian Wojcinski Germany 15 548 0.8× 419 0.8× 143 0.9× 207 1.3× 151 1.0× 29 803
Christophe Tourasse France 7 624 0.9× 499 1.0× 97 0.6× 134 0.8× 216 1.4× 22 897
Alexandra Athanasiou France 16 1.3k 1.9× 925 1.9× 124 0.8× 260 1.6× 427 2.8× 41 1.6k
F. Degenhardt Germany 15 576 0.9× 388 0.8× 215 1.3× 310 1.9× 133 0.9× 46 958
Yuxin Jiang China 15 261 0.4× 260 0.5× 132 0.8× 76 0.5× 61 0.4× 45 527
F. Schäfer Germany 14 713 1.1× 554 1.1× 96 0.6× 139 0.9× 219 1.5× 38 1.4k
Yanling Wen China 11 402 0.6× 345 0.7× 66 0.4× 58 0.4× 113 0.7× 21 701

Countries citing papers authored by Bing Ou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Bing Ou

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Ou. A scholar is included among the top collaborators of Bing Ou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Ou. Bing Ou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ming, Liang, Shiji Wu, Bing Ou, et al.. (2025). Discriminating Clear Cell From Non-Clear Cell Renal Cell Carcinoma: A Machine Learning Approach Using Contrast-enhanced Ultrasound Radiomics. Ultrasound in Medicine & Biology. 51(8). 1361–1369.
2.
Ming, Liang, et al.. (2024). Evaluation of contrast-enhanced ultrasound for predicting tumor grade in small (≤4 cm) clear cell renal cell carcinoma: Qualitative and quantitative analysis. Clinical Hemorheology and Microcirculation. 88(3). 1–12. 3 indexed citations
3.
Luo, Lingfeng, Shangyu Huang, Mei Yang, Jianhua Hu, & Bing Ou. (2023). Drawing–upsetting–extrusion–clinching of high-strength steel and aluminum alloy. Journal of Iron and Steel Research International. 30(10). 1974–1986. 6 indexed citations
4.
Luo, Man, Xiaodi Liu, Bing Ou, et al.. (2022). Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma based on B-Mode US and CEUS. European Radiology. 33(6). 4024–4033. 10 indexed citations
5.
Yan, Yongcong, Pinbo Huang, Kai Mao, et al.. (2020). Anti-oncogene PTPN13 inactivation by hepatitis B virus X protein counteracts IGF2BP1 to promote hepatocellular carcinoma progression. Oncogene. 40(1). 28–45. 30 indexed citations
6.
7.
Wu, Jiayi, Zizhuo Zhao, Liang Ming, et al.. (2019). Computer‐Aided Diagnosis of Solid Breast Lesions With Ultrasound: Factors Associated With False‐negative and False‐positive Results. Journal of Ultrasound in Medicine. 38(12). 3193–3202. 30 indexed citations
8.
Ou, Bing, et al.. (2019). Impact of body characteristics on ultrasound-measured inferior vena cava parameters in Chinese children. Brazilian Journal of Medical and Biological Research. 52(10). e8122–e8122. 6 indexed citations
9.
Ou, Bing, et al.. (2017). What Help Could Ultrasound Elastography Give to the Diagnosis of Breast Papillary Lesions?. Ultrasound in Medicine & Biology. 43(5). 903–910.
10.
Huang, Jianrong, Dawei Xu, Qinyue Guo, et al.. (2017). Remote Ischemic Postconditioning Improves Myocardial Dysfunction Via the Risk and Safe Pathways in a Rat Model of Severe Hemorrhagic Shock. Shock. 49(4). 460–465. 16 indexed citations
11.
Jiang, Qiongchao, Shaoyun Hao, Xiaoyun Xiao, et al.. (2015). Production and characterization of a novel long-acting Herceptin-targeted nanobubble contrast agent specific for Her-2-positive breast cancers. Breast Cancer. 23(3). 445–455. 43 indexed citations
12.
Xu, Xiaolin, Hai-Yun Yang, Bing Ou, et al.. (2015). Hydroxyapatite nanoparticles modified by branched polyethylenimine are effective non-viral vectors for siRNA transfection of hepatoma cells in vitro. International Journal of Oncology. 46(5). 2138–2142. 18 indexed citations
13.
14.
Hao, Shaoyun, Bing Ou, Yulan Peng, et al.. (2015). Could ultrasonic elastography help the diagnosis of breast cancer with the usage of sonographic BI-RADS classification?. European Journal of Radiology. 84(12). 2492–2500. 41 indexed citations
15.
Xiao, Xiaoyun, Bing Ou, Hai-Yun Yang, Huan Wu, & Baoming Luo. (2014). Breast Contrast-Enhanced Ultrasound: Is a Scoring System Feasible? ----A Preliminary Study in China. PLoS ONE. 9(8). e105517–e105517. 53 indexed citations
16.
Zeng, Hong, Bing Ou, Baoming Luo, et al.. (2014). Ultrasonic Elastography Features of Phyllodes Tumors of the Breast: A Clinical Research. PLoS ONE. 9(1). e85257–e85257. 19 indexed citations
17.
Zhi, Hui, Xiaoyun Xiao, Hai-Yun Yang, et al.. (2010). Ultrasonic Elastography in Breast Cancer Diagnosis. Academic Radiology. 17(10). 1227–1233. 99 indexed citations
18.
Wu, Jun, Mingliang Cheng, Chengxiu Li, et al.. (2009). [Model establishment of liver fibrosis in oral arsenic solution exposed mice].. PubMed. 89(21). 1455–9. 2 indexed citations
19.
Zhi, Hui, Xiaoyun Xiao, Hai-yun Yang, et al.. (2008). Semi-quantitating Stiffness of Breast Solid Lesions in Ultrasonic Elastography. Academic Radiology. 15(11). 1347–1353. 97 indexed citations
20.
Zhi, Hui, Bing Ou, Baoming Luo, et al.. (2007). Comparison of Ultrasound Elastography, Mammography, and Sonography in the Diagnosis of Solid Breast Lesions. Journal of Ultrasound in Medicine. 26(6). 807–815. 246 indexed citations

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.

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