Guo Zhou

965 total citations
39 papers, 713 citations indexed

About

Guo Zhou is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guo Zhou has authored 39 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Industrial and Manufacturing Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guo Zhou's work include Metaheuristic Optimization Algorithms Research (25 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Vehicle Routing Optimization Methods (5 papers). Guo Zhou is often cited by papers focused on Metaheuristic Optimization Algorithms Research (25 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Vehicle Routing Optimization Methods (5 papers). Guo Zhou collaborates with scholars based in China and Malaysia. Guo Zhou's co-authors include Yongquan Zhou, Qifang Luo, Wu Deng, Huan Chen, Shihong Yin, Zhonghua Tang, Wu Deng, Qifang Luo, Junli Zhang and Ying-Ju Wang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Guo Zhou

37 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo Zhou China 16 375 170 157 101 99 39 713
Itziar Landa-Torres Spain 14 323 0.9× 118 0.7× 136 0.9× 134 1.3× 162 1.6× 28 829
Sheng Liu China 13 299 0.8× 167 1.0× 114 0.7× 71 0.7× 53 0.5× 64 583
Saeid Barshandeh Iran 11 438 1.2× 86 0.5× 154 1.0× 185 1.8× 148 1.5× 13 804
Junzhi Li China 11 344 0.9× 73 0.4× 137 0.9× 75 0.7× 71 0.7× 23 577
Beatrice Ombuki-Berman Canada 14 398 1.1× 153 0.9× 257 1.6× 44 0.4× 78 0.8× 55 772
Arturo Hernández-Aguirre Mexico 15 272 0.7× 143 0.8× 149 0.9× 47 0.5× 79 0.8× 65 802
Edite M. G. P. Fernandes Portugal 12 314 0.8× 108 0.6× 247 1.6× 56 0.6× 66 0.7× 91 653
Jianping Luo China 15 384 1.0× 190 1.1× 321 2.0× 51 0.5× 62 0.6× 42 774
Shaoqiu Zheng China 14 516 1.4× 96 0.6× 220 1.4× 117 1.2× 125 1.3× 20 899

Countries citing papers authored by Guo Zhou

Since Specialization
Citations

This map shows the geographic impact of Guo 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 Guo Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Zhou more than expected).

Fields of papers citing papers by Guo Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo 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 Guo Zhou. The network helps show where Guo Zhou may publish in the future.

Co-authorship network of co-authors of Guo Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Zhou. A scholar is included among the top collaborators of Guo 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 Guo Zhou. Guo Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Yongquan, et al.. (2025). Multi-strategies enhanced aquila optimizer for global optimization: Comprehensive review and comparative analysis. Journal of Computational Design and Engineering. 12(5). 134–160.
2.
Zhou, Guo, et al.. (2024). Interval-based multi-objective metaheuristic honey badger algorithm. Soft Computing. 28(19). 11295–11322.
3.
Zhou, Guo, Tian Zhang, & Yongquan Zhou. (2024). Elite Opposition-Based Bare Bones Mayfly Algorithm for Optimization Wireless Sensor Networks Coverage Problem. Arabian Journal for Science and Engineering. 50(2). 719–739. 4 indexed citations
4.
Pan, Jiawen, Guo Zhou, Caicong Wu, & Weixin Zhai. (2024). Parameter optimization of the field-road trajectory segmentation model based on the chaos sensing slime mould algorithm. Soft Computing. 28(19). 11065–11132. 1 indexed citations
5.
Li, Ning, Guo Zhou, Yongquan Zhou, Wu Deng, & Qifang Luo. (2023). Multi-objective pathfinder algorithm for multi-objective optimal power flow problem with random renewable energy sources: wind, photovoltaic and tidal. Scientific Reports. 13(1). 10647–10647. 14 indexed citations
6.
Zhou, Guo, Yongquan Zhou, Wu Deng, Shihong Yin, & Yunhui Zhang. (2023). Advances in teaching–learning-based optimization algorithm: A comprehensive survey(ICIC2022). Neurocomputing. 561. 126898–126898. 30 indexed citations
7.
Zhang, Yunhui, Yongquan Zhou, Guo Zhou, & Qifang Luo. (2023). An effective multi-objective bald eagle search algorithm for solving engineering design problems. Applied Soft Computing. 145. 110585–110585. 12 indexed citations
8.
Zhang, Tian, Yongquan Zhou, Guo Zhou, Wu Deng, & Qifang Luo. (2023). Discrete Mayfly Algorithm for spherical asymmetric traveling salesman problem. Expert Systems with Applications. 221. 119765–119765. 24 indexed citations
9.
Luo, Qifang, et al.. (2023). Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems. Structural and Multidisciplinary Optimization. 66(5). 28 indexed citations
10.
Liu, Xianli, Guo Zhou, Yongquan Zhou, & Qifang Luo. (2023). Functional extreme learning machine. Frontiers in Computational Neuroscience. 17. 1209372–1209372. 4 indexed citations
11.
Zhou, Guo, et al.. (2023). Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses. Frontiers in Computational Neuroscience. 17. 1079483–1079483. 5 indexed citations
12.
Zhou, Yongquan, et al.. (2022). Enhanced discrete dragonfly algorithm for solving four-color map problems. Applied Intelligence. 53(6). 6372–6400. 10 indexed citations
13.
Bi, Jian, Guo Zhou, Yongquan Zhou, Qifang Luo, & Wu Deng. (2022). Artificial Electric Field Algorithm with Greedy State Transition Strategy for Spherical Multiple Traveling Salesmen Problem. International Journal of Computational Intelligence Systems. 15(1). 24 indexed citations
14.
Zhang, Yunhui, et al.. (2022). A Curve Approximation Approach Using Bio-inspired Polar Coordinate Bald Eagle Search Algorithm. International Journal of Computational Intelligence Systems. 15(1). 17 indexed citations
15.
Li, Ning, et al.. (2022). Extracting Unknown Parameters of Proton Exchange Membrane Fuel Cells Using Quantum Encoded Pathfinder Algorithm. Frontiers in Energy Research. 10. 7 indexed citations
16.
Yin, Shihong, et al.. (2022). An equilibrium optimizer slime mould algorithm for inverse kinematics of the 7-DOF robotic manipulator. Scientific Reports. 12(1). 9421–9421. 25 indexed citations
17.
Zhou, Guo, et al.. (2021). MOMPA: Multi-objective marine predator algorithm. Computer Methods in Applied Mechanics and Engineering. 385. 114029–114029. 99 indexed citations
18.
Zhou, Guo, et al.. (2021). Golden sine cosine SALP swarm algorithm for shape matching using atomic potential function. Expert Systems. 39(2). 8 indexed citations
19.
Zhang, Sen, Guo Zhou, Yongquan Zhou, & Qifang Luo. (2020). Quantum-inspired satin bowerbird algorithm with Bloch spherical search for constrained structural optimization. Journal of Industrial and Management Optimization. 17(6). 3509–3509. 7 indexed citations
20.
Zhou, Guo, et al.. (2019). Binary Symbiotic Organism Search Algorithm for Feature Selection and Analysis. IEEE Access. 7. 166833–166859. 32 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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