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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework
Wenjie Yi, Rong Qu, Licheng Jiao, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 1072-1084
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 51
A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems
Shihong Yin, Zhengrong Xiang
Expert Systems with Applications (2024) Vol. 256, pp. 124929-124929
Closed Access | Times Cited: 8
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
Isaac Triguero, Daniel Molina, Javier Poyatos, et al.
Information Fusion (2023) Vol. 103, pp. 102135-102135
Open Access | Times Cited: 21
NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning
Haoqiang Liu, Zefang Zong, Yong Li, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110680-110680
Closed Access | Times Cited: 16
Conclusion
Chao Huang, Hailong Huang, Yiying Zhang
Elsevier eBooks (2025), pp. 215-223
Closed Access
A selection hyper-heuristic algorithm with Q-learning mechanism
Fuqing Zhao, Yuebao Liu, Ningning Zhu, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110815-110815
Closed Access | Times Cited: 13
Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey
Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, et al.
Frontiers in Industrial Engineering (2024) Vol. 2
Open Access | Times Cited: 4
Meta-Black-Box optimization for evolutionary algorithms: Review and perspective
Xu Yang, Rui Wang, Kaiwen Li, et al.
Swarm and Evolutionary Computation (2025) Vol. 93, pp. 101838-101838
Closed Access
Reinforcement learning-based solution for resource management in fog computing: A comprehensive survey
Reyhane Ghafari, N. Mansouri
Expert Systems with Applications (2025), pp. 127214-127214
Closed Access
On the automatic generation of metaheuristic algorithms for combinatorial optimization problems
Raúl Martín-Santamaría, Manuel López‐Ibáñez, Thomas Stützle, et al.
European Journal of Operational Research (2024) Vol. 318, Iss. 3, pp. 740-751
Open Access | Times Cited: 3
Automated algorithm design using proximal policy optimisation with identified features
Wenjie Yi, Rong Qu, Licheng Jiao
Expert Systems with Applications (2022) Vol. 216, pp. 119461-119461
Open Access | Times Cited: 12
QFuture: Learning Future Expectation Cognition in Multi-Agent Reinforcement Learning
Boyin Liu, Zhiqiang Pu, Yi Pan, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1302-1314
Closed Access | Times Cited: 2
Integrating Machine Learning Into Vehicle Routing Problem: Methods and Applications
Reza Shahbazian, Luigi Di Puglia Pugliese, Francesca Guerriero, et al.
IEEE Access (2024) Vol. 12, pp. 93087-93115
Open Access | Times Cited: 2
Automated design of search algorithms based on reinforcement learning
Wenjie Yi, Rong Qu
Information Sciences (2023) Vol. 649, pp. 119639-119639
Closed Access | Times Cited: 6
Designing Heuristic-Based Tuners for Fractional-Order PID Controllers in Automatic Voltage Regulator Systems Using a Hyper-Heuristic Approach
Daniel F. Zambrano-Gutierrez, Gerardo Humberto Valencia-Rivera, Juan Gabriel Avina‐Cervantes, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 4, pp. 223-223
Open Access | Times Cited: 1
Enhancing the Efficiency of a Cybersecurity Operations Center Using Biomimetic Algorithms Empowered by Deep Q-Learning
Rodrigo Olivares, Omar Salinas, Camilo Ravelo, et al.
Biomimetics (2024) Vol. 9, Iss. 6, pp. 307-307
Open Access | Times Cited: 1
PTSSBench: a performance evaluation platform in support of automated parameter tuning of software systems
Cao Rong, Liang Bao, Panpan Zhangsun, et al.
Automated Software Engineering (2023) Vol. 31, Iss. 1
Closed Access | Times Cited: 2
Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching
Xinan Chen, Jing Dong, Rong Qu, et al.
Communications in computer and information science (2024), pp. 276-290
Closed Access
Enhancing the Efficiency of a Cyber SOC Using Biomimetic Algorithms Empowered by Deep Q–Learning
Rodrigo Olivares, Omar Salinas, Camilo Ravelo, et al.
(2024)
Open Access
Continuous Variation Operator Configuration for Decomposition-Based Evolutionary Multi-Objective Optimization
Yuan Liu, Jiazheng Li, Juan Zou, et al.
(2024)
Closed Access
Automated Design of Collaboration-Based Hybrid Metaheuristics
Yipeng Wang, Bin Xin, Bo Liu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 12, pp. 7877-7890
Closed Access
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework
Jiyuan Pei, Jialin Liu, Yi Mei
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1017-1025
Open Access
GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies
Jonathan Wurth, Helena Stegherr, Michael Heider, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1054-1063
Closed Access
Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization
Yuan Liu, J. Li, Juan Zou, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101644-101644
Closed Access
Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments
Xinan Chen, Rong Qu, Jing Dong, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112190-112190
Closed Access
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