Zhongwei Ma
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 10%
- Civil and Structural Engineering
- Management Science and Operations Research top 10%
- Topics
- Advanced Multi-Objective Optimization Algorithms (6 papers)Metaheuristic Optimization Algorithms Research (6 papers)Evolutionary Algorithms and Applications (4 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on CyberneticsIEEE Transactions on Evolutionary ComputationIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Zhongwei Ma
6 papers receiving 586 citations
Hit Papers
Peers
Comparison fields: 5 of 31
- Computational Theory and Mathematics 528
- Artificial Intelligence 485
- Control and Systems Engineering 68
- Civil and Structural Engineering 52
- Management Science and Operations Research 44
Countries citing papers authored by Zhongwei Ma
This map shows the geographic impact of Zhongwei Ma'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 Zhongwei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongwei Ma more than expected).
Fields of papers citing papers by Zhongwei Ma
This network shows the impact of papers produced by Zhongwei Ma. 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 Zhongwei Ma. The network helps show where Zhongwei Ma may publish in the future.
Co-authorship network of co-authors of Zhongwei Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongwei Ma. A scholar is included among the top collaborators of Zhongwei Ma 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 Zhongwei Ma. Zhongwei Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 14 | |
| 3 | 121 | |
| 4 | Evolutionary Constrained Multiobjective Optimization: Test Suite Construction and Performance Comparisonsbreakdown → | 281 |
| 5 | 145 | |
| 6 | 3 |
About Zhongwei Ma
Zhongwei Ma is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 6 papers that have together received 591 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (528 citations), Artificial Intelligence (485 citations) and Industrial and Manufacturing Engineering (41 citations). Zhongwei Ma has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Yong Wang, Wu Song, Bing-Chuan Wang, Yun Feng, Jinhua Zheng, Shengxiang Yang, Gan Ruan and Juan Zou. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Systems Man and Cybernetics Systems.
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.