Chunping Ning
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
Papers in
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- Visual Attention and Saliency Detection 3
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- Radiomics and Machine Learning in Medical Imaging 7
- Ultrasound Imaging and Elastography 3
- Co-authors
- Jianrui Ding (10 shared papers)Min Xian (4 shared papers)Litao Sun (7 shared papers)Lingtao Wang (2 shared papers)Yingtao Zhang (5 shared papers)Heng-Da Cheng (4 shared papers)Boyu Zhang (4 shared papers)Kuan Huang (3 shared papers)
- Journals
- Scientific Reports (4 papers)Ultrasound in Medicine & Biology (3 papers)European Journal of Radiology (3 papers)BMC Cancer (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Chunping Ning
36 papers receiving 496 citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 200
- Health Informatics 8
- Obstetrics and Gynecology 44
- Neurology 46
- Artificial Intelligence 165
Countries citing papers authored by Chunping Ning
This map shows the geographic impact of Chunping Ning'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 Chunping Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunping Ning more than expected).
Fields of papers citing papers by Chunping Ning
This network shows the impact of papers produced by Chunping Ning. 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 Chunping Ning. The network helps show where Chunping Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunping Ning, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 53 | |
| 2 | 2022 | 49 | |
| 3 | 2017 | 43 | |
| 4 | 2014 | 38 | |
| 5 | 2013 | 33 | |
| 6 | 2012 | 32 | |
| 7 | 2015 | 31 | |
| 8 | 2018 | 26 | |
| 9 | 2018 | 17 | |
| 10 | 2015 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2013 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2017 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2019 | 7 |
About Chunping Ning
Chunping Ning is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Surgery and Biomedical Engineering, having authored 41 papers that have together received 501 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Ultrasound Imaging and Elastography (3 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (200 citations), Health Informatics (8 citations), Obstetrics and Gynecology (44 citations), Neurology (46 citations) and Artificial Intelligence (165 citations). Chunping Ning has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jianrui Ding, Min Xian, Litao Sun, Lingtao Wang, Yingtao Zhang, Heng-Da Cheng, Boyu Zhang, Kuan Huang, Guo‐Wei He and Limin Lun. Their work appears in journals such as Scientific Reports, Ultrasound in Medicine & Biology, European Journal of Radiology, BMC Cancer and Artificial Intelligence in Medicine.
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.