Qingjiao Cao

1.1k total citations · 2 hit papers
8 papers, 750 citations indexed

About

Qingjiao Cao is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, Qingjiao Cao has authored 8 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Civil and Structural Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Qingjiao Cao's work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Water Systems and Optimization (2 papers). Qingjiao Cao is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Water Systems and Optimization (2 papers). Qingjiao Cao collaborates with scholars based in China, Australia and South Korea. Qingjiao Cao's co-authors include Liying Wang, Weiguo Zhao, Seyedali Mirjalili, Zhenxing Zhang, Honggang Fan, Nima Khodadadi, Jihua Zhang, Liying Wang, Yanfeng Gao and Jixuan Wang and has published in prestigious journals such as Expert Systems with Applications, Journal of Energy Storage and Engineering Applications of Artificial Intelligence.

In The Last Decade

Qingjiao Cao

8 papers receiving 712 citations

Hit Papers

Artificial rabbits optimization: A new bio-inspired meta-... 2022 2026 2023 2024 2022 2023 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingjiao Cao China 6 340 216 177 139 68 8 750
Juliano Pierezan Brazil 9 400 1.2× 220 1.0× 151 0.9× 171 1.2× 96 1.4× 11 810
Tianran Zhang China 6 356 1.0× 168 0.8× 125 0.7× 158 1.1× 61 0.9× 11 668
Shijie Zhao China 8 382 1.1× 148 0.7× 126 0.7× 165 1.2× 84 1.2× 28 712
Qamar Askari Pakistan 5 531 1.6× 165 0.8× 119 0.7× 245 1.8× 80 1.2× 6 787
Zeinab Montazeri Iran 16 641 1.9× 240 1.1× 159 0.9× 306 2.2× 107 1.6× 18 1.1k
Yiying Zhang China 16 686 2.0× 228 1.1× 158 0.9× 263 1.9× 107 1.6× 23 1.1k
Nitish Chopra India 8 338 1.0× 212 1.0× 165 0.9× 147 1.1× 100 1.5× 10 785
Mohamed A. Mahdy Egypt 10 327 1.0× 200 0.9× 102 0.6× 143 1.0× 47 0.7× 16 623
Sefa Aras Türkiye 9 433 1.3× 260 1.2× 114 0.6× 247 1.8× 64 0.9× 16 770
Jianji Ren China 13 297 0.9× 224 1.0× 86 0.5× 93 0.7× 72 1.1× 33 739

Countries citing papers authored by Qingjiao Cao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

8 of 8 papers shown
2.
Wang, Jixuan, Yang Liu, Hao Tian, et al.. (2024). Optimization study of wind, solar, hydro and hydrogen storage based on improved multi-objective particle swarm optimization. Journal of Energy Storage. 93. 112298–112298. 24 indexed citations
3.
Cao, Qingjiao, et al.. (2023). Vibration State Identification of Hydraulic Units Based on Improved Artificial Rabbits Optimization Algorithm. Biomimetics. 8(2). 243–243. 12 indexed citations
4.
Zhao, Weiguo, Liying Wang, Zhenxing Zhang, et al.. (2023). Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications. Expert Systems with Applications. 238. 122200–122200. 165 indexed citations breakdown →
5.
Cao, Qingjiao, Liying Wang, Jiajie Zhang, Tengfei Guo, & Xiyuan Liu. (2022). Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network. Shock and Vibration. 2022. 1–36. 5 indexed citations
6.
Wang, Liying, Qingjiao Cao, Zhenxing Zhang, Seyedali Mirjalili, & Weiguo Zhao. (2022). Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems. Engineering Applications of Artificial Intelligence. 114. 105082–105082. 507 indexed citations breakdown →
7.
Zhao, Weiguo, et al.. (2021). An adaptive hybrid atom search optimization with particle swarm optimization and its application to optimal no-load PID design of hydro-turbine governor. Journal of Computational Design and Engineering. 8(5). 1204–1233. 33 indexed citations
8.
Zhang, Haixia, et al.. (2020). Design and Development of Image Recognition Toolkit Based on Deep Learning. International Journal of Pattern Recognition and Artificial Intelligence. 35(1). 2159002–2159002. 1 indexed citations

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.

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