Changjun Yu
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
Papers in
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- Advanced Optimization Algorithms Research 19
- Numerical methods for differential equations 4
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- Probability and Risk Models 12
- Co-authors
- Kok Lay TeoYanqin BaiRyan LoxtonQun LinDongya ChengLiansheng ZhangGuoqiang WangVolker Rehbock
In The Last Decade
Changjun Yu
61 papers receiving 733 citations
Peers
Comparison fields: 5 of 94
- Numerical Analysis 220
- Control and Systems Engineering 357
- Computational Theory and Mathematics 211
- Modeling and Simulation 53
- Management Science and Operations Research 136
Countries citing papers authored by Changjun Yu
This map shows the geographic impact of Changjun Yu'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 Changjun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjun Yu more than expected).
Fields of papers citing papers by Changjun Yu
This network shows the impact of papers produced by Changjun Yu. 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 Changjun Yu. The network helps show where Changjun Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Changjun Yu, 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 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 5 | |
| 13 | 2019 | 4 | |
| 14 | ASYMPTOTICS FOR THE RUIN PROBABILITIES OF A TWO-DIMENSIONAL RENEWAL RISK MODEL | 2017 | 5 |
| 15 | 2017 | 26 | |
| 16 | 2016 | 5 | |
| 17 | 2015 | 7 | |
| 18 | 2013 | 51 | |
| 19 | 2012 | 0 | |
| 20 | 2010 | 77 |
About Changjun Yu
Changjun Yu is a scholar working on Numerical Analysis, Management Science and Operations Research, Computational Theory and Mathematics, Control and Systems Engineering and Finance, having authored 67 papers that have together received 801 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (20 papers), Advanced Optimization Algorithms Research (19 papers), Optimization and Variational Analysis (15 papers), Probability and Risk Models (12 papers), Financial Risk and Volatility Modeling (6 papers), Statistical Distribution Estimation and Applications (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Numerical methods for differential equations (4 papers). The work is most often cited by research in Numerical Analysis (220 citations), Control and Systems Engineering (357 citations), Computational Theory and Mathematics (211 citations), Modeling and Simulation (53 citations) and Management Science and Operations Research (136 citations). Changjun Yu has collaborated with scholars based in China, Australia and Malaysia. Frequent co-authors include Kok Lay Teo, Yanqin Bai, Ryan Loxton, Qun Lin, Dongya Cheng, Liansheng Zhang, Guoqiang Wang, Volker Rehbock, Bin Li and Yuebao Wang. Their work appears in journals such as Journal of Industrial and Management Optimization, Journal of Optimization Theory and Applications, Applied Mathematical Modelling, Journal of Computational and Applied Mathematics and Journal of Global Optimization.
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.