Siping Chen
Impact in
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- Digital Imaging for Blood Diseases
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
Papers in
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- Photoacoustic and Ultrasonic Imaging 43
- Ultrasound and Hyperthermia Applications 40
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- Ultrasound Imaging and Elastography 58
- Co-authors
- Tianfu Wang (115 shared papers)Baiying Lei (43 shared papers)Dong Ni (42 shared papers)Xin Chen (69 shared papers)Ling Zhang (8 shared papers)Youyi Song (7 shared papers)Feng Zhou (10 shared papers)Xudong Jiang (4 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (9 papers)Ultrasound in Medicine & Biology (7 papers)Biomedical Signal Processing and Control (6 papers)Ultrasonics (5 papers)IEEE Access (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Siping Chen
254 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 1.1k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Artificial Intelligence 1.5k
- Health Informatics 57
- Biophysics 207
Countries citing papers authored by Siping Chen
This map shows the geographic impact of Siping Chen'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 Siping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siping Chen more than expected).
Fields of papers citing papers by Siping Chen
This network shows the impact of papers produced by Siping Chen. 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 Siping Chen. The network helps show where Siping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Siping Chen, 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 271 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 215 | |
| 2 | 2017 | 209 | |
| 3 | 2020 | 193 | |
| 4 | 2018 | 183 | |
| 5 | 2016 | 175 | |
| 6 | 2017 | 150 | |
| 7 | 2018 | 124 | |
| 8 | 2013 | 104 | |
| 9 | 2017 | 98 | |
| 10 | 2019 | 91 | |
| 11 | 2019 | 90 | |
| 12 | 2017 | 80 | |
| 13 | 2017 | 80 | |
| 14 | 2014 | 73 | |
| 15 | 2013 | 73 | |
| 16 | 2011 | 72 | |
| 17 | 2020 | 71 | |
| 18 | 2014 | 68 | |
| 19 | 2017 | 64 | |
| 20 | 2019 | 63 |
About Siping Chen
Siping Chen is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 271 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (58 papers), Photoacoustic and Ultrasonic Imaging (43 papers), Ultrasound and Hyperthermia Applications (40 papers), AI in cancer detection (26 papers), Electrical and Bioimpedance Tomography (20 papers), Ultrasonics and Acoustic Wave Propagation (19 papers), Liver Disease Diagnosis and Treatment (12 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Artificial Intelligence (1.5k citations), Health Informatics (57 citations) and Biophysics (207 citations). Siping Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tianfu Wang, Baiying Lei, Dong Ni, Xin Chen, Ling Zhang, Youyi Song, Feng Zhou, Xudong Jiang, Haoming Lin and Jing Qin. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Ultrasound in Medicine & Biology, Biomedical Signal Processing and Control, Ultrasonics and IEEE Access.
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.