Shouyong Jiang
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 1%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 5%
- Civil and Structural Engineering top 10%
- Co-authors
- Shengxiang YangJuan ZouXin YaoMarcus KaiserNatalio KrasnogorYong WangYong JiangRonggui Wang
- Topics
- Advanced Multi-Objective Optimization Algorithms (31 papers)Metaheuristic Optimization Algorithms Research (31 papers)Evolutionary Algorithms and Applications (15 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United KingdomChinaItaly
In The Last Decade
Shouyong Jiang
42 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 1.3k
- Artificial Intelligence 1.2k
- Management Science and Operations Research 235
- Control and Systems Engineering 187
- Civil and Structural Engineering 133
Countries citing papers authored by Shouyong Jiang
This map shows the geographic impact of Shouyong Jiang'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 Shouyong Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouyong Jiang more than expected).
Fields of papers citing papers by Shouyong Jiang
This network shows the impact of papers produced by Shouyong Jiang. 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 Shouyong Jiang. The network helps show where Shouyong Jiang may publish in the future.
Co-authorship network of co-authors of Shouyong Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Shouyong Jiang. A scholar is included among the top collaborators of Shouyong Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shouyong Jiang. Shouyong Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 18 | |
| 8 | 17 | |
| 9 | 42 | |
| 10 | 9 | |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 4 | |
| 14 | 65 | |
| 15 | A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimizationbreakdown → | 268 |
| 16 | A Fast Strength Pareto Evolutionary Algorithm Incorporating Predefined Preference Information | 1 |
| 17 | Approximating Multiobjective Optimization Problems with Complex Pareto Fronts | 3 |
| 18 | 12 | |
| 19 | 8 | |
| 20 | 20 |
About Shouyong Jiang
Shouyong Jiang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (31 papers), Metaheuristic Optimization Algorithms Research (31 papers) and Evolutionary Algorithms and Applications (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Artificial Intelligence (1.2k citations) and Management Science and Operations Research (235 citations). Shouyong Jiang has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include Shengxiang Yang, Juan Zou, Xin Yao, Marcus Kaiser, Natalio Krasnogor, Yong Wang, Yong Jiang, Ronggui Wang, Xiaoli Li and Simon Pearson. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.