Ping Xing
Impact in
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- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
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- Cancer-related molecular mechanisms research
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Ultrasound Imaging and Elastography 3
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- AI in cancer detection 5
- Co-authors
- Changjun Wu (4 shared papers)Yingtao Zhang (5 shared papers)Kuan Huang (5 shared papers)Boyu Zhang (3 shared papers)Chunbo Liu (1 shared paper)Linfeng Wu (1 shared paper)Chunmei Zhang (1 shared paper)Shu Li (1 shared paper)
- Journals
- Scientific Reports (1 paper)European Journal of Radiology (1 paper)Neurocomputing (1 paper)Frontiers in Genetics (1 paper)Cancer Biology & Therapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ping Xing
15 papers receiving 382 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 150
- Cancer Research 87
- Endocrinology, Diabetes and Metabolism 57
- Neurology 23
- Biomedical Engineering 101
Countries citing papers authored by Ping Xing
This map shows the geographic impact of Ping Xing'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 Ping Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Xing more than expected).
Fields of papers citing papers by Ping Xing
This network shows the impact of papers produced by Ping Xing. 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 Ping Xing. The network helps show where Ping Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Xing, 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 | 2019 | 72 | |
| 2 | 2011 | 65 | |
| 3 | 2021 | 44 | |
| 4 | 2013 | 38 | |
| 5 | 2020 | 33 | |
| 6 | 2024 | 32 | |
| 7 | 2017 | 31 | |
| 8 | 2018 | 26 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2022 | 6 | |
| 12 | 2011 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2009 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ping Xing
Ping Xing is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Oncology, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Ultrasound Imaging and Elastography (3 papers), Immune cells in cancer (3 papers), Medical Image Segmentation Techniques (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Ultrasonics and Acoustic Wave Propagation (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (150 citations), Cancer Research (87 citations), Endocrinology, Diabetes and Metabolism (57 citations), Neurology (23 citations) and Biomedical Engineering (101 citations). Ping Xing has collaborated with scholars based in China and United States. Frequent co-authors include Changjun Wu, Yingtao Zhang, Kuan Huang, Boyu Zhang, Chunbo Liu, Linfeng Wu, Chunmei Zhang, Shu Li, Heng-Da Cheng and Wei Meng. Their work appears in journals such as Scientific Reports, European Journal of Radiology, Neurocomputing, Frontiers in Genetics and Cancer Biology & Therapy.
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.