Ping Sun
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
- Rare-earth and actinide compounds
Papers in
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- Advanced Numerical Methods in Computational Mathematics 6
-
- Physics of Superconductivity and Magnetism 8
- Co-authors
- Gabriel Kotliar (5 shared papers)Shuihua Wang (8 shared papers)Yudong Zhang (8 shared papers)Preetha Phillips (5 shared papers)Zhendong Luo (10 shared papers)Jianfei Yang (5 shared papers)Yanjie Zhou (1 shared paper)Xin Yao (4 shared papers)
- Journals
- Physical Review Letters (3 papers)Journal of Vision (3 papers)Journal of Mathematical Analysis and Applications (2 papers)Applied Numerical Mathematics (1 paper)Bio-Medical Materials and Engineering (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ping Sun
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Neurology 255
- Condensed Matter Physics 294
- Statistical and Nonlinear Physics 187
- Computer Vision and Pattern Recognition 286
- Modeling and Simulation 51
Countries citing papers authored by Ping Sun
This map shows the geographic impact of Ping Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Sun more than expected).
Fields of papers citing papers by Ping Sun
This network shows the impact of papers produced by Ping Sun. 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 Sun. The network helps show where Ping Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Sun, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 180 | |
| 2 | 2015 | 132 | |
| 3 | 2015 | 93 | |
| 4 | 2015 | 83 | |
| 5 | 2009 | 68 | |
| 6 | 2016 | 60 | |
| 7 | 2004 | 59 | |
| 8 | 2009 | 44 | |
| 9 | 2003 | 44 | |
| 10 | 2016 | 43 | |
| 11 | 2016 | 39 | |
| 12 | 2012 | 32 | |
| 13 | 2005 | 30 | |
| 14 | 2010 | 28 | |
| 15 | 2010 | 28 | |
| 16 | 2015 | 26 | |
| 17 | 2016 | 24 | |
| 18 | 2017 | 24 | |
| 19 | 2012 | 21 | |
| 20 | 2020 | 17 |
About Ping Sun
Ping Sun is a scholar working on Computational Mechanics, Condensed Matter Physics, Neurology, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (8 papers), Machine Learning and ELM (8 papers), Model Reduction and Neural Networks (6 papers), Brain Tumor Detection and Classification (6 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Probabilistic and Robust Engineering Design (5 papers), Quantum and electron transport phenomena (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Neurology (255 citations), Condensed Matter Physics (294 citations), Statistical and Nonlinear Physics (187 citations), Computer Vision and Pattern Recognition (286 citations) and Modeling and Simulation (51 citations). Ping Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gabriel Kotliar, Shuihua Wang, Yudong Zhang, Preetha Phillips, Zhendong Luo, Jianfei Yang, Yanjie Zhou, Xin Yao, Xingxing Zhou and Hong Li. Their work appears in journals such as Physical Review Letters, Journal of Vision, Journal of Mathematical Analysis and Applications, Applied Numerical Mathematics and Bio-Medical Materials and 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.