Jun Ji
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
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- Matrix Theory and Algorithms 22
-
- Advanced Optimization Algorithms Research 16
- Differential Equations and Numerical Methods 5
- Iterative Methods for Nonlinear Equations 5
- Co-authors
- Yimin Wei (4 shared papers)Bo Yang (11 shared papers)Florian A. Potra (6 shared papers)Qingjiu Tian (1 shared paper)Jun Chen (1 shared paper)Xin Tong (2 shared papers)Shuqiang Huang (1 shared paper)Haiyan Qin (2 shared papers)
- Journals
- Applied Mathematics and Computation (7 papers)Linear Algebra and its Applications (5 papers)Journal of Mathematical Analysis and Applications (3 papers)Environmental Science & Technology (2 papers)Computers & Mathematics with Applications (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jun Ji
55 papers receiving 722 citations
Peers
Comparison fields: 5 of 110
- Computational Mathematics 73
- Numerical Analysis 206
- Computational Theory and Mathematics 279
- Applied Mathematics 104
- Environmental Engineering 98
Countries citing papers authored by Jun Ji
This map shows the geographic impact of Jun Ji'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 Jun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ji more than expected).
Fields of papers citing papers by Jun Ji
This network shows the impact of papers produced by Jun Ji. 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 Jun Ji. The network helps show where Jun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ji, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 114 | |
| 2 | 2018 | 69 | |
| 3 | 2015 | 48 | |
| 4 | 2018 | 42 | |
| 5 | 2007 | 42 | |
| 6 | 2015 | 40 | |
| 7 | 1995 | 32 | |
| 8 | 2017 | 24 | |
| 9 | 2005 | 22 | |
| 10 | 2012 | 22 | |
| 11 | 1999 | 20 | |
| 12 | 2014 | 16 | |
| 13 | 2002 | 16 | |
| 14 | 1999 | 14 | |
| 15 | 1988 | 14 | |
| 16 | Eigenvalue Comparisons for Boundary Value Problems of the Discrete Elliptic Equation | 2008 | 13 |
| 17 | 2007 | 13 | |
| 18 | 2011 | 13 | |
| 19 | 1994 | 13 | |
| 20 | 2019 | 12 |
About Jun Ji
Jun Ji is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Applied Mathematics, Computational Mechanics and Mathematical Physics, having authored 65 papers that have together received 766 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (22 papers), Advanced Optimization Algorithms Research (16 papers), Differential Equations and Boundary Problems (9 papers), Nonlinear Differential Equations Analysis (7 papers), Differential Equations and Numerical Methods (5 papers), Iterative Methods for Nonlinear Equations (5 papers), Electromagnetic Scattering and Analysis (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Computational Mathematics (73 citations), Numerical Analysis (206 citations), Computational Theory and Mathematics (279 citations), Applied Mathematics (104 citations) and Environmental Engineering (98 citations). Jun Ji has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yimin Wei, Bo Yang, Florian A. Potra, Qingjiu Tian, Jun Chen, Xin Tong, Shuqiang Huang, Haiyan Qin, Weili Si and Jiaojiao Zhang. Their work appears in journals such as Applied Mathematics and Computation, Linear Algebra and its Applications, Journal of Mathematical Analysis and Applications, Environmental Science & Technology and Computers & Mathematics with Applications.
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.