Ren‐Cang Li
- Computational Theory and Mathematics top 0.2%
- Numerical Analysis top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Zhaojun BaiW. KahanNinoslav TruharLei‐Hong ZhangPeter BennerNicholas J. HighamFrançoise TisseurLi Wang
- Topics
- Matrix Theory and Algorithms (101 papers)Advanced Optimization Algorithms Research (34 papers)Numerical methods for differential equations (24 papers)
- Journals
- The Journal of Chemical PhysicsIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Computational Physics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ren‐Cang Li
132 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 1.2k
- Numerical Analysis 719
- Atomic and Molecular Physics, and Optics 360
- Computational Mechanics 278
- Statistical and Nonlinear Physics 276
Countries citing papers authored by Ren‐Cang Li
This map shows the geographic impact of Ren‐Cang 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 Ren‐Cang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ren‐Cang Li more than expected).
Fields of papers citing papers by Ren‐Cang Li
This network shows the impact of papers produced by Ren‐Cang 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 Ren‐Cang Li. The network helps show where Ren‐Cang Li may publish in the future.
Co-authorship network of co-authors of Ren‐Cang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Ren‐Cang Li. A scholar is included among the top collaborators of Ren‐Cang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ren‐Cang Li. Ren‐Cang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | Iterative diagonalization of non-Hermitian eigenproblems in time-dependent density-functional and many-body perturbation theory | 1 |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 23 | |
| 18 | 12 | |
| 19 | 15 | |
| 20 | PERTURBATION BOUNDS FOR GENERALIZED EIGENVALUES. I | 5 |
About Ren‐Cang Li
Ren‐Cang Li is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 134 papers that have together received 1.9k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (101 papers), Advanced Optimization Algorithms Research (34 papers) and Numerical methods for differential equations (24 papers). The work is most often cited by research in Computational Mathematics (114 citations), Numerical Analysis (719 citations) and Computational Theory and Mathematics (1.2k citations). Ren‐Cang Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zhaojun Bai, W. Kahan, Ninoslav Truhar, Lei‐Hong Zhang, Peter Benner, Nicholas J. Higham, Françoise Tisseur, Li Wang, Qiang Ye and Shufang Xu. Their work appears in journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Computational Physics.
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.