Xiaoliang Ma
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.2%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 5%
- Civil and Structural Engineering top 5%
- Topics
- Advanced Multi-Objective Optimization Algorithms (38 papers)Metaheuristic Optimization Algorithms Research (36 papers)Evolutionary Algorithms and Applications (22 papers)
In The Last Decade
Xiaoliang Ma
55 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 1.8k
- Computational Theory and Mathematics 1.7k
- Management Science and Operations Research 319
- Control and Systems Engineering 196
- Civil and Structural Engineering 190
Countries citing papers authored by Xiaoliang Ma
This map shows the geographic impact of Xiaoliang 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 Xiaoliang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoliang Ma more than expected).
Fields of papers citing papers by Xiaoliang Ma
This network shows the impact of papers produced by Xiaoliang 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 Xiaoliang Ma. The network helps show where Xiaoliang Ma may publish in the future.
Co-authorship network of co-authors of Xiaoliang Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoliang Ma. A scholar is included among the top collaborators of Xiaoliang 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 Xiaoliang Ma. Xiaoliang 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 35 | |
| 8 | 33 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 28 | |
| 13 | 31 | |
| 14 | 67 | |
| 15 | 32 | |
| 16 | 24 | |
| 17 | 41 | |
| 18 | A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variablesbreakdown → | 382 |
| 19 | 67 | |
| 20 | Variable Speed Drives with Elastic Loads | 1 |
About Xiaoliang Ma
Xiaoliang Ma is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Automotive Engineering, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (38 papers), Metaheuristic Optimization Algorithms Research (36 papers) and Evolutionary Algorithms and Applications (22 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Artificial Intelligence (1.8k citations) and Management Science and Operations Research (319 citations). Xiaoliang Ma has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yutao Qi, Zexuan Zhu, Licheng Jiao, Fang Liu, Jianshe Wu, Jianyong Sun, Zhengping Liang, Xiaodong Li, Lingling Li and Qingfu Zhang. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Cybernetics.
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.