Yuren Zhou
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.2%
- Electrical and Electronic Engineering top 5%
- Information Systems top 1%
- Control and Systems Engineering top 2%
- Topics
- Metaheuristic Optimization Algorithms Research (62 papers)Advanced Multi-Objective Optimization Algorithms (56 papers)Evolutionary Algorithms and Applications (32 papers)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Yuren Zhou
117 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 2.3k
- Computational Theory and Mathematics 1.5k
- Electrical and Electronic Engineering 648
- Information Systems 646
- Control and Systems Engineering 457
Countries citing papers authored by Yuren Zhou
This map shows the geographic impact of Yuren Zhou'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 Yuren Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuren Zhou more than expected).
Fields of papers citing papers by Yuren Zhou
This network shows the impact of papers produced by Yuren Zhou. 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 Yuren Zhou. The network helps show where Yuren Zhou may publish in the future.
Co-authorship network of co-authors of Yuren Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yuren Zhou. A scholar is included among the top collaborators of Yuren Zhou 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 Yuren Zhou. Yuren Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | Evaluation of Transport Mode Using Wearable Sensor Data from Thousands of Students | 5 |
| 12 | 4 | |
| 13 | 17 | |
| 14 | 42 | |
| 15 | 16 | |
| 16 | Biopharmaceutical portfolio management optimization under uncertainty | 1 |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 22 | |
| 20 | An Optimised Evolutionary Algorithms for Nonparameter Penalty Function | 3 |
About Yuren Zhou
Yuren Zhou is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 123 papers that have together received 3.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (62 papers), Advanced Multi-Objective Optimization Algorithms (56 papers) and Evolutionary Algorithms and Applications (32 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (2.3k citations) and Computational Mathematics (25 citations). Yuren Zhou has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Zibin Zheng, Yi Xiang, Xiaoyu He, Zefeng Chen, Yatao Yang, Hong‐Ning Dai, Miqing Li, Weili Chen, Zefeng Chen and Jun Zhang. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Access.
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.