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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:

Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems
Minglong Gao, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 82, pp. 101358-101358
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Yanjie Song, Yutong Wu, Yangyang Guo, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101517-101517
Open Access | Times Cited: 36
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101467-101467
Closed Access | Times Cited: 25
Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey
Kaizhou Gao, Minglong Gao, MengChu Zhou, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101505-101505
Closed Access | Times Cited: 24
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times
Guohui Zhang, Shaofeng Yan, Xiaohui Song, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107974-107974
Closed Access | Times Cited: 22
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Cong Luo, Wenyin Gong, Fei Ming, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101497-101497
Closed Access | Times Cited: 20
Collaborative path planning of multi-unmanned surface vehicles via multi-stage constrained multi-objective optimization
Shihong Yin, Ningjun Xu, Zhangsong Shi, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103115-103115
Closed Access | Times Cited: 6
Local search-based meta-heuristics combined with an improved K-Means++ clustering algorithm for unmanned surface vessel scheduling
Weiyu Tang, Kaizhou Gao, Zhenfang Ma, et al.
International Journal of Production Research (2025), pp. 1-25
Closed Access | Times Cited: 2
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics
Hui Yu, Kaizhou Gao, Naiqi Wu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3321-3333
Closed Access | Times Cited: 16
A hyper-heuristic with deep Q-network for the multi-objective unmanned surface vehicles scheduling problem
Ningjun Xu, Zhangsong Shi, Shihong Yin, et al.
Neurocomputing (2024) Vol. 596, pp. 127943-127943
Closed Access | Times Cited: 14
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems
Yu Xue, Chenyi Zhang
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101760-101760
Closed Access | Times Cited: 10
A Q-learning driven multi-objective evolutionary algorithm for worker fatigue dual-resource-constrained distributed hybrid flow shop
Haonan Song, Junqing Li, Zhaosheng Du, et al.
Computers & Operations Research (2024), pp. 106919-106919
Closed Access | Times Cited: 9
Resource scheduling optimization for industrial operating system using deep reinforcement learning and WOA algorithm
Ting Shu, Zhijie Pan, Zuohua Ding, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124765-124765
Closed Access | Times Cited: 8
Solving Heterogeneous USV Scheduling Problems by Problem-Specific Knowledge Based Meta-Heuristics with Q-Learning
Zhenfang Ma, Kaizhou Gao, Hui Yu, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 339-339
Open Access | Times Cited: 7
PSAO: An enhanced Aquila Optimizer with particle swarm mechanism for engineering design and UAV path planning problems
Suqian Wu, Bitao He, Jing Zhang, et al.
Alexandria Engineering Journal (2024) Vol. 106, pp. 474-504
Open Access | Times Cited: 7
Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes
Rong Hu, Yu-Fang Huang, Xing Wu, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101498-101498
Closed Access | Times Cited: 6
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time
Ruixue Zhang, Hui Yu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101686-101686
Closed Access | Times Cited: 5
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling
Hui Yu, Kaizhou Gao, Naiqi Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108668-108668
Closed Access | Times Cited: 4
Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
Yang Yang, Yuchao Gao, Zhe Ding, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Closed Access | Times Cited: 4
Integrated scheduling of material delivery and processing
Jinlong Zheng, Yixin Zhao, Jianfeng Li, et al.
Computers & Industrial Engineering (2025), pp. 110863-110863
Closed Access
A Cluster Chaotic Optimization for solving power loss and voltage profiles problems on electrical distribution networks
Primitivo Díaz, Eduardo H. Haro, Omar Avalos, et al.
Knowledge-Based Systems (2025), pp. 113145-113145
Closed Access
Novel MINLP model and Lamarckian learning-enhanced multi-objective optimization algorithm for smart household appliance scheduling
Weidong Lei, Z. Y. You, Jiawei Zhu, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101886-101886
Closed Access
Self-optimized learning algorithm for multi-specialty multi-stage elective surgery scheduling
Y Liu, Y. P. Huang, Zongli Dai, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110346-110346
Closed Access
An improved NSGA-II algorithm based on reinforcement learning for aircraft moving assembly line integration optimization problem
Xiaoyu Wen, Xinyu Zhang, Hao Li, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101911-101911
Closed Access
Intelligent decision and planning for unmanned surface vehicle: A review of machine learning techniques
Z. A. Liu, Qin Zhang, Xianbo Xiang, et al.
Ocean Engineering (2025) Vol. 327, pp. 120968-120968
Closed Access
Real-time distributed decision-making for simultaneous target assignment and path planning in multiple unmanned surface vehicles
Shihong Yin, Zhengrong Xiang
Expert Systems with Applications (2025) Vol. 279, pp. 127457-127457
Closed Access
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