Cui-Xia Li
Impact in
- Numerical Analysis top 1%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Numerical methods for differential equations
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- Matrix Theory and Algorithms
Papers in
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- Matrix Theory and Algorithms 67
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- Advanced Optimization Algorithms Research 38
- Iterative Methods for Nonlinear Equations 17
- Numerical methods for differential equations 14
- Co-authors
- Shi-Liang Wu (58 shared papers)Peng Guo (2 shared papers)Ting‐Zhu Huang (4 shared papers)Yaotang Li (2 shared papers)Jian Yu (1 shared paper)Luca Bergamaschi (1 shared paper)Jifeng Xuan (1 shared paper)Shuyan Zhang (1 shared paper)
In The Last Decade
Cui-Xia Li
80 papers receiving 797 citations
Peers
Comparison fields: 5 of 72
- Numerical Analysis 486
- Computational Theory and Mathematics 651
- Computational Mathematics 17
- Modeling and Simulation 46
- Computational Mechanics 165
Countries citing papers authored by Cui-Xia Li
This map shows the geographic impact of Cui-Xia Li'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 Cui-Xia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cui-Xia Li more than expected).
Fields of papers citing papers by Cui-Xia Li
This network shows the impact of papers produced by Cui-Xia Li. 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 Cui-Xia Li. The network helps show where Cui-Xia Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Cui-Xia Li, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 58 | |
| 2 | 2019 | 54 | |
| 3 | 2016 | 40 | |
| 4 | 2015 | 39 | |
| 5 | 2019 | 36 | |
| 6 | 2021 | 34 | |
| 7 | 2016 | 34 | |
| 8 | 2008 | 30 | |
| 9 | 2016 | 28 | |
| 10 | 2014 | 28 | |
| 11 | 2021 | 25 | |
| 12 | 2018 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2020 | 21 | |
| 15 | 2013 | 19 | |
| 16 | 2006 | 18 | |
| 17 | 2012 | 15 | |
| 18 | 2006 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2017 | 13 |
About Cui-Xia Li
Cui-Xia Li is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Atomic and Molecular Physics, and Optics, Computational Mechanics and Artificial Intelligence, having authored 91 papers that have together received 832 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (67 papers), Advanced Optimization Algorithms Research (38 papers), Electromagnetic Scattering and Analysis (29 papers), Iterative Methods for Nonlinear Equations (17 papers), Advanced Numerical Methods in Computational Mathematics (15 papers), Numerical methods for differential equations (14 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Tensor decomposition and applications (4 papers). The work is most often cited by research in Numerical Analysis (486 citations), Computational Theory and Mathematics (651 citations), Computational Mathematics (17 citations), Modeling and Simulation (46 citations) and Computational Mechanics (165 citations). Cui-Xia Li has collaborated with scholars based in China, Italy and India. Frequent co-authors include Shi-Liang Wu, Peng Guo, Ting‐Zhu Huang, Yaotang Li, Jian Yu, Jian Yu, Luca Bergamaschi, Jifeng Xuan, Shuyan Zhang and Zhilei Ren. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Mathematics Letters, Journal of Optimization Theory and Applications, Optimization Letters and Electronics.
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.