Changjun Yu

1.1k citations
68 papers · 827 · h-index 15

Impact in

Papers in

Changjun Yu

61 papers receiving 759 citations

Peers

Changjun Yu
Comparison fields: 5 of 92
  • Numerical Analysis 220
  • Control and Systems Engineering 362
  • Computational Theory and Mathematics 212
  • Modeling and Simulation 55
  • Management Science and Operations Research 137
Replace Hasnaa Zidani with:
Hasnaa Zidani France
George P. Papavassilopoulos United States
Mustapha Ait Rami Spain
J. L. Menaldi United States
Siu Pang Yung Hong Kong
M. Mariton France
Y. Ji United States
Hélène Frankowska France
Sanyang Liu China
Changjun Yu relative to Hasnaa Zidani France Hasnaa Zidani's profile →
Citations per field
00.5×10×16×
Hasnaa Zidani · 1×
Citations per year

Countries citing papers authored by Changjun Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Changjun Yu Line = papers co-authored together Changjun Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2 202165
3 201351
4 201247
5 201244
6 201940
7 201538
8 202138
9 201535
10 201726
11 201325
12 201124
13 201321
14 201221
15 201821
16 202214
17 201813
18 201612
19 201012
20 201711

About Changjun Yu

Changjun Yu is a scholar working on Control and Systems Engineering, Numerical Analysis, Computational Theory and Mathematics, Management Science and Operations Research and Computational Mechanics, having authored 68 papers that have together received 827 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), Stochastic processes and statistical mechanics (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 (362 citations), Computational Theory and Mathematics (212 citations), Modeling and Simulation (55 citations) and Management Science and Operations Research (137 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.

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