Xiaojun Chen
Impact in
- Numerical Analysis top 0.1%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Computational Mathematics top 1%
Papers in
-
- Advanced Optimization Algorithms Research 71
- Iterative Methods for Nonlinear Equations 26
-
- Matrix Theory and Algorithms 40
- Optimization and Variational Analysis 32
- Co-authors
- Liqun Qi (10 shared papers)Masao Fukushima (8 shared papers)Yinyu Ye (5 shared papers)Wei Bian (9 shared papers)Shuhuang Xiang (8 shared papers)Weijun Zhou (5 shared papers)Bintong Chen (3 shared papers)Ting Kei Pong (6 shared papers)
In The Last Decade
Xiaojun Chen
191 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 160
- Numerical Analysis 2.4k
- Computational Mathematics 97
- Computational Theory and Mathematics 2.5k
- Computational Mechanics 1.9k
- Mathematical Physics 561
Countries citing papers authored by Xiaojun Chen
This map shows the geographic impact of Xiaojun Chen'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 Xiaojun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Chen more than expected).
Fields of papers citing papers by Xiaojun Chen
This network shows the impact of papers produced by Xiaojun Chen. 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 Xiaojun Chen. The network helps show where Xiaojun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Chen, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 226 | |
| 2 | 2010 | 220 | |
| 3 | 2012 | 187 | |
| 4 | 2000 | 151 | |
| 5 | 2005 | 146 | |
| 6 | 2000 | 139 | |
| 7 | 1993 | 135 | |
| 8 | 2012 | 108 | |
| 9 | 2010 | 103 | |
| 10 | 2007 | 102 | |
| 11 | 2005 | 102 | |
| 12 | 2017 | 98 | |
| 13 | 2012 | 86 | |
| 14 | 1989 | 86 | |
| 15 | 2013 | 82 | |
| 16 | 2013 | 77 | |
| 17 | 2007 | 76 | |
| 18 | 2012 | 76 | |
| 19 | 1999 | 75 | |
| 20 | 2012 | 71 |
About Xiaojun Chen
Xiaojun Chen is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Mathematical Physics and Management Science and Operations Research, having authored 203 papers that have together received 5.5k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (71 papers), Sparse and Compressive Sensing Techniques (47 papers), Matrix Theory and Algorithms (40 papers), Optimization and Variational Analysis (32 papers), Iterative Methods for Nonlinear Equations (26 papers), Numerical methods in inverse problems (20 papers), Risk and Portfolio Optimization (19 papers) and Advanced Numerical Analysis Techniques (12 papers). The work is most often cited by research in Numerical Analysis (2.4k citations), Computational Mathematics (97 citations), Computational Theory and Mathematics (2.5k citations), Computational Mechanics (1.9k citations) and Mathematical Physics (561 citations). Xiaojun Chen has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Liqun Qi, Masao Fukushima, Yinyu Ye, Wei Bian, Shuhuang Xiang, Weijun Zhou, Bintong Chen, Ting Kei Pong, Defeng Sun and Fengmin Xu. Their work appears in journals such as SIAM Journal on Optimization, Mathematical Programming, SIAM Journal on Numerical Analysis, Journal of Computational and Applied Mathematics and Computational Optimization and 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.