Chunping Ning
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
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- Brain Tumor Detection and Classification
Papers in
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- Gout, Hyperuricemia, Uric Acid 7
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- Visual Attention and Saliency Detection 3
- Co-authors
- Jianrui Ding (10 shared papers)Min Xian (4 shared papers)Fenghe Tang (4 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)European Journal of Radiology (3 papers)Ultrasound in Medicine & Biology (3 papers)BMC Cancer (2 papers)Neural Processing Letters (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Chunping Ning
41 papers receiving 568 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 155
- Neurology 45
- Health Informatics 8
- Reproductive Medicine 38
- Obstetrics and Gynecology 33
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 68 | |
| 2 | 2022 | 60 | |
| 3 | 2017 | 51 | |
| 4 | 2014 | 40 | |
| 5 | 2013 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2015 | 32 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2015 | 17 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2013 | 13 | |
| 16 | 2017 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 8 |
About Chunping Ning
Chunping Ning is a scholar working on Nephrology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Artificial Intelligence, having authored 45 papers that have together received 573 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Ovarian cancer diagnosis and treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Ultrasound Imaging and Elastography (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Visual Attention and Saliency Detection (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (155 citations), Neurology (45 citations), Health Informatics (8 citations), Reproductive Medicine (38 citations) and Obstetrics and Gynecology (33 citations). Chunping Ning has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jianrui Ding, Min Xian, Fenghe Tang, Lingtao Wang, Yingtao Zhang, Heng-Da Cheng, Boyu Zhang, Kuan Huang, Guo‐Wei He and Chao Xuan. Their work appears in journals such as Scientific Reports, European Journal of Radiology, Ultrasound in Medicine & Biology, BMC Cancer and Neural Processing Letters.
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.