Ping Cheng
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Radiation top 5%
- Advanced Radiotherapy Techniques
- Advanced X-ray Imaging Techniques
Papers in
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- Statistical Methods and Inference 3
- Advanced Statistical Methods and Models 2
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- Cognitive Computing and Networks 1
- Co-authors
- T. H. Lin (1 shared paper)Ge Wang (1 shared paper)D. M. Shinozaki (1 shared paper)C. K. Chu (1 shared paper)Michelle Liou (3 shared papers)Cheng‐Yu Chen (1 shared paper)Arthur C. Tsai (1 shared paper)John A. D. Aston (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Journal of Statistical Planning and Inference (2 papers)IEEE Transactions on Information Theory (1 paper)Journal of Optimization Theory and Applications (1 paper)NeuroImage (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ping Cheng
13 papers receiving 356 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 236
- Radiation 96
- Statistics and Probability 44
- Biomedical Engineering 181
- Neurology 18
Countries citing papers authored by Ping Cheng
This map shows the geographic impact of Ping Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Cheng more than expected).
Fields of papers citing papers by Ping Cheng
This network shows the impact of papers produced by Ping Cheng. 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 Cheng. The network helps show where Ping Cheng may publish in the future.
Co-authors
The 15 scholars most cited alongside Ping Cheng, 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 | 1993 | 255 | |
| 2 | 2009 | 46 | |
| 3 | 1995 | 38 | |
| 4 | 2002 | 16 | |
| 5 | 2002 | 15 | |
| 6 | 1981 | 4 | |
| 7 | 2004 | 3 | |
| 8 | 2014 | 2 | |
| 9 | Some Remarks on MLE and Test of Likelihood Ratio | 2003 | 1 |
| 10 | 1990 | 1 | |
| 11 | 1993 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2006 | 1 | |
| 14 | 2012 | 0 |
About Ping Cheng
Ping Cheng is a scholar working on Statistics and Probability, Artificial Intelligence, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Advanced Statistical Methods and Models (2 papers), Petri Nets in System Modeling (1 paper), Satellite Image Processing and Photogrammetry (1 paper), Distributed Sensor Networks and Detection Algorithms (1 paper), Transportation and Mobility Innovations (1 paper), Cognitive Computing and Networks (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (236 citations), Radiation (96 citations), Statistics and Probability (44 citations), Biomedical Engineering (181 citations) and Neurology (18 citations). Ping Cheng has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include T. H. Lin, Ge Wang, D. M. Shinozaki, C. K. Chu, Michelle Liou, Cheng‐Yu Chen, Arthur C. Tsai, John A. D. Aston, Robert Serfling and Qiang Zhou. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Statistical Planning and Inference, IEEE Transactions on Information Theory, Journal of Optimization Theory and Applications and NeuroImage.
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.