Ping-Fan Dai
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
Papers in
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- Matrix Theory and Algorithms 18
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- Advanced Optimization Algorithms Research 11
- Co-authors
- Yaotang Li (7 shared papers)Jicheng Li (4 shared papers)Jianchao Bai (7 shared papers)Ljiljana Cvetković (1 shared paper)Shi-Liang Wu (4 shared papers)Chaoqian Li (1 shared paper)Chengyi Zhang (1 shared paper)Jinping Li (1 shared paper)
In The Last Decade
Ping-Fan Dai
21 papers receiving 359 citations
Peers
Comparison fields: 5 of 25
- Computational Mathematics 54
- Numerical Analysis 261
- Computational Theory and Mathematics 353
- Algebra and Number Theory 58
- Statistical and Nonlinear Physics 41
Countries citing papers authored by Ping-Fan Dai
This map shows the geographic impact of Ping-Fan Dai'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-Fan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping-Fan Dai more than expected).
Fields of papers citing papers by Ping-Fan Dai
This network shows the impact of papers produced by Ping-Fan Dai. 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-Fan Dai. The network helps show where Ping-Fan Dai may publish in the future.
Co-authors
The 11 scholars most cited alongside Ping-Fan Dai, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 49 | |
| 2 | 2012 | 47 | |
| 3 | 2013 | 37 | |
| 4 | 2006 | 36 | |
| 5 | 2012 | 30 | |
| 6 | 2016 | 28 | |
| 7 | 2015 | 26 | |
| 8 | 2018 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2016 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2023 | 1 |
About Ping-Fan Dai
Ping-Fan Dai is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Computational Mathematics and Electrical and Electronic Engineering, having authored 22 papers that have together received 368 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (18 papers), Advanced Optimization Algorithms Research (11 papers), Tensor decomposition and applications (6 papers), Sparse and Compressive Sensing Techniques (4 papers), graph theory and CDMA systems (4 papers), Electromagnetic Scattering and Analysis (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Computational Mathematics (54 citations), Numerical Analysis (261 citations), Computational Theory and Mathematics (353 citations), Algebra and Number Theory (58 citations) and Statistical and Nonlinear Physics (41 citations). Ping-Fan Dai has collaborated with scholars based in China and Serbia. Frequent co-authors include Yaotang Li, Jicheng Li, Jianchao Bai, Ljiljana Cvetković, Shi-Liang Wu, Chaoqian Li, Chengyi Zhang, Jinping Li, Liqiang Dong and Jicheng Li. Their work appears in journals such as Numerical Algorithms, Applied Mathematics and Computation, Journal of Optimization Theory and Applications, Journal of Scientific Computing and Journal of Computational and Applied Mathematics.
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.