Kunjie Yu
- Artificial Intelligence top 0.2%
- Computational Theory and Mathematics top 0.1%
- Renewable Energy, Sustainability and the Environment top 1%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Topics
- Metaheuristic Optimization Algorithms Research (78 papers)Advanced Multi-Objective Optimization Algorithms (66 papers)Evolutionary Algorithms and Applications (46 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceRenewable Energy, Sustainability and the Environment
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsApplied Energy
In The Last Decade
Kunjie Yu
97 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 3.9k
- Computational Theory and Mathematics 2.2k
- Renewable Energy, Sustainability and the Environment 1.7k
- Electrical and Electronic Engineering 810
- Control and Systems Engineering 550
Countries citing papers authored by Kunjie Yu
This map shows the geographic impact of Kunjie Yu'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 Kunjie Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunjie Yu more than expected).
Fields of papers citing papers by Kunjie Yu
This network shows the impact of papers produced by Kunjie Yu. 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 Kunjie Yu. The network helps show where Kunjie Yu may publish in the future.
Co-authorship network of co-authors of Kunjie Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Kunjie Yu. A scholar is included among the top collaborators of Kunjie Yu 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 Kunjie Yu. Kunjie Yu 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 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 21 | |
| 15 | 9 | |
| 16 | 26 | |
| 17 | 50 | |
| 18 | 15 | |
| 19 | 7 | |
| 20 | 62 |
About Kunjie Yu
Kunjie Yu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Energy Engineering and Power Technology, having authored 109 papers that have together received 5.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (78 papers), Advanced Multi-Objective Optimization Algorithms (66 papers) and Evolutionary Algorithms and Applications (46 papers). The work is most often cited by research in Computational Theory and Mathematics (2.2k citations), Artificial Intelligence (3.9k citations) and Renewable Energy, Sustainability and the Environment (1.7k citations). Kunjie Yu has collaborated with scholars based in China, Australia and Qatar. Frequent co-authors include Jing Liang, Boyang Qu, Xu Chen, Caitong Yue, Kangjia Qiao, Zhenlei Wang, Shilei Ge, Heshan Wang, Hui Song and Wenli Du. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.
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.