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 75
- Iterative Methods for Nonlinear Equations 26
-
- Matrix Theory and Algorithms 40
- Optimization and Variational Analysis 39
- Co-authors
- Liqun QiMasao FukushimaYinyu YeWei BianShuhuang XiangWeijun ZhouTing Kei PongBintong Chen
In The Last Decade
Xiaojun Chen
198 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 163
- Numerical Analysis 2.5k
- Computational Mathematics 98
- Computational Theory and Mathematics 2.5k
- Computational Mechanics 2.0k
- Mathematical Physics 577
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2017 | 5 | |
| 11 | Exact Penalty Methods for Non-Lipschitz Optimization | 2014 | 1 |
| 12 | 2014 | 17 | |
| 13 | Control strategy of temperature compensation of intelligent AC contactors | 2013 | 1 |
| 14 | Topics in numerical analysis : with special emphasis on nonlinear problems | 2001 | 15 |
| 15 | 2001 | 9 | |
| 16 | 1995 | 25 | |
| 17 | 1994 | 16 | |
| 18 | 1991 | 2 | |
| 19 | 1990 | 10 | |
| 20 | Interval iterative methods under partial ordering | 1988 | 1 |
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 213 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (75 papers), Sparse and Compressive Sensing Techniques (50 papers), Matrix Theory and Algorithms (40 papers), Optimization and Variational Analysis (39 papers), Iterative Methods for Nonlinear Equations (26 papers), Risk and Portfolio Optimization (23 papers), Numerical methods in inverse problems (20 papers) and Advanced Numerical Analysis Techniques (12 papers). The work is most often cited by research in Numerical Analysis (2.5k citations), Computational Mathematics (98 citations), Computational Theory and Mathematics (2.5k citations), Computational Mechanics (2.0k citations) and Mathematical Physics (577 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, Ting Kei Pong, Bintong Chen, Fengmin Xu and Defeng Sun. Their work appears in journals such as SIAM Journal on Optimization, Mathematical Programming, SIAM Journal on Numerical Analysis, Computational Optimization and Applications 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.