Yicun Hua
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering
- Management Science and Operations Research top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Kuangrong HaoYaochu JinQiqi LiuSeshu Kumar DamarlaHongtian ChenBiao HuangXue‐song TangTong Wang
- Topics
- Advanced Multi-Objective Optimization Algorithms (5 papers)Metaheuristic Optimization Algorithms Research (4 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on CyberneticsIEEE Transactions on Instrumentation and MeasurementIEEE/CAA Journal of Automatica Sinica
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Yicun Hua
6 papers receiving 391 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 249
- Computational Theory and Mathematics 229
- Control and Systems Engineering 48
- Management Science and Operations Research 47
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Yicun Hua
This map shows the geographic impact of Yicun Hua'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 Yicun Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yicun Hua more than expected).
Fields of papers citing papers by Yicun Hua
This network shows the impact of papers produced by Yicun Hua. 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 Yicun Hua. The network helps show where Yicun Hua may publish in the future.
Co-authorship network of co-authors of Yicun Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Yicun Hua. A scholar is included among the top collaborators of Yicun Hua 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 Yicun Hua. Yicun Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 17 | |
| 3 | 0 | |
| 4 | A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Frontsbreakdown → | 219 |
| 5 | 13 | |
| 6 | The multi-objective optimization of esterification process based on improved NSGA-III algorithm | 2 |
| 7 | 134 | |
| 8 | 0 |
About Yicun Hua
Yicun Hua is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Analytical Chemistry, having authored 8 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (229 citations), Artificial Intelligence (249 citations) and Industrial and Manufacturing Engineering (40 citations). Yicun Hua has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Kuangrong Hao, Yaochu Jin, Qiqi Liu, Seshu Kumar Damarla, Hongtian Chen, Biao Huang, Xue‐song Tang, Tong Wang, Xiaoyan Liu and Yongsheng Ding. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Instrumentation and Measurement and IEEE/CAA Journal of Automatica Sinica.
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.