Pingkun Yan
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Media Technology top 0.2%
Papers in
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- Medical Image Segmentation Techniques 45
- Advanced Neural Network Applications 32
- Advanced Image Processing Techniques 18
- Advanced Vision and Imaging 17
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- Radiomics and Machine Learning in Medical Imaging 26
- Medical Imaging Techniques and Applications 17
- Co-authors
- Xuelong Li (37 shared papers)Ge Wang (36 shared papers)Yuan Yuan (12 shared papers)Barış Türkbey (35 shared papers)Mannudeep K. Kalra (20 shared papers)Xiaoqiang Lu (9 shared papers)Mubarak Shah (9 shared papers)Bradford J. Wood (35 shared papers)
- Journals
- Neurocomputing (13 papers)International Journal of Computer Assisted Radiology and Surgery (8 papers)IEEE Transactions on Medical Imaging (7 papers)IEEE Transactions on Circuits and Systems for Video Technology (5 papers)IEEE Transactions on Biomedical Engineering (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Pingkun Yan
195 papers receiving 6.9k citations
Pingkun Yan's Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 3.3k
- Media Technology 1.0k
- Health Informatics 147
- Radiology, Nuclear Medicine and Imaging 1.9k
- Biophysics 313
Countries citing papers authored by Pingkun Yan
This map shows the geographic impact of Pingkun Yan'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 Pingkun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingkun Yan more than expected).
Fields of papers citing papers by Pingkun Yan
This network shows the impact of papers produced by Pingkun Yan. 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 Pingkun Yan. The network helps show where Pingkun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingkun Yan, 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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss Hit paper breakdown → | 2018 | 1173 |
| 2 | Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging Hit paper breakdown → | 2011 | 368 |
| 3 | 2012 | 332 | |
| 4 | Development of metaverse for intelligent healthcare Hit paper breakdown → | 2022 | 266 |
| 5 | 2012 | 160 | |
| 6 | 2017 | 154 | |
| 7 | 2008 | 136 | |
| 8 | 2008 | 121 | |
| 9 | 2019 | 119 | |
| 10 | 2011 | 117 | |
| 11 | 2011 | 101 | |
| 12 | 2018 | 99 | |
| 13 | 2010 | 92 | |
| 14 | 2011 | 91 | |
| 15 | 2013 | 82 | |
| 16 | 2012 | 80 | |
| 17 | 2006 | 78 | |
| 18 | 2007 | 77 | |
| 19 | 2018 | 75 | |
| 20 | 2011 | 74 |
About Pingkun Yan
Pingkun Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 206 papers that have together received 7.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (45 papers), Advanced Neural Network Applications (32 papers), AI in cancer detection (26 papers), Radiomics and Machine Learning in Medical Imaging (26 papers), Prostate Cancer Diagnosis and Treatment (24 papers), Advanced Image Processing Techniques (18 papers), Medical Imaging Techniques and Applications (17 papers) and Advanced Vision and Imaging (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Media Technology (1.0k citations), Health Informatics (147 citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Biophysics (313 citations). Pingkun Yan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xuelong Li, Ge Wang, Yuan Yuan, Barış Türkbey, Mannudeep K. Kalra, Xiaoqiang Lu, Mubarak Shah, Bradford J. Wood, Sheng Xu and Hengyong Yu. Their work appears in journals such as Neurocomputing, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Imaging, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Biomedical Engineering.
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.