Baoming Luo
Impact in
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- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hepatology 17
- Hepatocellular Carcinoma Treatment and Prognosis 16
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- Ultrasound Imaging and Elastography 21
- MRI in cancer diagnosis 8
- Radiomics and Machine Learning in Medical Imaging 8
Baoming Luo
83 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 120
- Radiology, Nuclear Medicine and Imaging 1.0k
- Hepatology 337
- Biomedical Engineering 803
- Cancer Research 229
- Pathology and Forensic Medicine 268
Countries citing papers authored by Baoming Luo
This map shows the geographic impact of Baoming Luo'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 Baoming Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoming Luo more than expected).
Fields of papers citing papers by Baoming Luo
This network shows the impact of papers produced by Baoming Luo. 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 Baoming Luo. The network helps show where Baoming Luo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Baoming Luo, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 32 | |
| 10 | 2019 | 1 | |
| 11 | 2016 | 6 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 41 | |
| 15 | 2014 | 53 | |
| 16 | Synergy of hematoporphyrin monomethyl ether and SonoVue on the killing of MDA-MB-231 cells under ultrasound irradiation: An experimental study | 2013 | 1 |
| 17 | 2012 | 1 | |
| 18 | 2009 | 2 | |
| 19 | 2007 | 246 | |
| 20 | Comparative study on treatment of small hepatocellular carcinoma by radiofrequency ablation and percutaneous ethanol injection | 2006 | 1 |
About Baoming Luo
Baoming Luo is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine and Critical Care and Intensive Care Medicine, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (21 papers), Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Ultrasound and Hyperthermia Applications (12 papers), AI in cancer detection (11 papers), Breast Lesions and Carcinomas (10 papers), MRI in cancer diagnosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Hepatology (337 citations), Biomedical Engineering (803 citations), Cancer Research (229 citations) and Pathology and Forensic Medicine (268 citations). Baoming Luo has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Bing Ou, Xiaoyun Xiao, Yanling Wen, Hai-yun Yang, Liang Ming, Xiaolin Xu, Huan Wu, Hui Zhi, Xiaodi Liu and Hai-Yun Yang. Their work appears in journals such as Ultrasound in Medicine & Biology, PLoS ONE, European Radiology, European Journal of Radiology and Journal of Clinical Oncology.
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.