Qingjiao Cao
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Liying WangWeiguo ZhaoZhenxing ZhangSeyedali MirjaliliHonggang FanNima KhodadadiYang LiuYanfeng Gao
- Topics
- Metaheuristic Optimization Algorithms Research (3 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)Water Systems and Optimization (2 papers)
- Cited by
- Energy Engineering and Power TechnologyArtificial IntelligenceComputational Theory and Mathematics
- Journals
- Expert Systems with ApplicationsJournal of Energy StorageEngineering Applications of Artificial Intelligence
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Qingjiao Cao
8 papers receiving 712 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 340
- Electrical and Electronic Engineering 216
- Control and Systems Engineering 177
- Computational Theory and Mathematics 139
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Qingjiao Cao
This map shows the geographic impact of Qingjiao Cao'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 Qingjiao Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjiao Cao more than expected).
Fields of papers citing papers by Qingjiao Cao
This network shows the impact of papers produced by Qingjiao Cao. 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 Qingjiao Cao. The network helps show where Qingjiao Cao may publish in the future.
Co-authorship network of co-authors of Qingjiao Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Qingjiao Cao. A scholar is included among the top collaborators of Qingjiao Cao 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 Qingjiao Cao. Qingjiao Cao 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 | 24 | |
| 3 | 12 | |
| 4 | Electric eel foraging optimization: A new bio-inspired optimizer for engineering applicationsbreakdown → | 165 |
| 5 | 5 | |
| 6 | Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problemsbreakdown → | 507 |
| 7 | 33 | |
| 8 | 1 |
About Qingjiao Cao
Qingjiao Cao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 8 papers that have together received 750 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Water Systems and Optimization (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (51 citations), Artificial Intelligence (340 citations) and Computational Theory and Mathematics (139 citations). Qingjiao Cao has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Liying Wang, Weiguo Zhao, Zhenxing Zhang, Seyedali Mirjalili, Honggang Fan, Nima Khodadadi, Yang Liu, Yanfeng Gao, Jixuan Wang and Hao Tian. Their work appears in journals such as Expert Systems with Applications, Journal of Energy Storage and Engineering Applications of Artificial Intelligence.
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.