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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:

An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems
Hanxiao Li, Kaizhou Gao, Peiyong Duan, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 5, pp. 2684-2693
Closed Access | Times Cited: 113

Showing 51-75 of 113 citing articles:

Integrated scheduling problem of multi-load AGVs and parallel machines considering the recovery process
Xin Fan, Hongyan Sang, Mengxi Tian, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101861-101861
Closed Access
An Optimized Method for Solving the Green Permutation Flow Shop Scheduling Problem Using a Combination of Deep Reinforcement Learning and Improved Genetic Algorithm
Yongxin Lu, Yiping Yuan, Yasenjiang Jiarula, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 545-545
Open Access
An adaptive large neighborhood search method for the AGV scheduling problem with a limited number of chargers
Yantong Li, Bo Ren, Xin Wen, et al.
International Journal of Production Research (2025), pp. 1-33
Closed Access
Multi-objective evolutionary co-learning framework for energy-efficient hybrid flow-shop scheduling problem with human-machine collaboration
Jiawei Wu, Yong Liu, Yani Zhang
Swarm and Evolutionary Computation (2025) Vol. 95, pp. 101932-101932
Closed Access
A property-based hybrid genetic algorithm and tabu search for solving order acceptance and scheduling problem with trapezoidal penalty membership function
Ziye Zhao, Xiaohui Chen, Youjun An, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119598-119598
Closed Access | Times Cited: 10
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
Yuanzhen Li, Kaizhou Gao, Leilei Meng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107011-107011
Closed Access | Times Cited: 10
A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem
Chang-Zhe Zheng, Hongyan Sang, Lining Xing, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101697-101697
Closed Access | Times Cited: 3
Energy-efficient Multi-objective Distributed Assembly Permutation Flowshop Scheduling by Q-learning based Meta-heuristics
Hui Yu, Kaizhou Gao, Zhiwu Li, et al.
Applied Soft Computing (2024), pp. 112247-112247
Closed Access | Times Cited: 3
An artificial bee colony algorithm with an adaptive search strategy selection mechanism and its application on workload prediction
Jingyuan Yang, Jiangtao Cui, Xiaofang Xia, et al.
Computers & Industrial Engineering (2024) Vol. 189, pp. 109982-109982
Closed Access | Times Cited: 2
Ensemble evolutionary algorithms equipped with Q‐learning strategy for solving distributed heterogeneous permutation flowshop scheduling problems considering sequence‐dependent setup time
Fubin Liu, Kaizhou Gao, Dachao Li, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 2
An immune plasma algorithm with Q-learning based pandemic management for path planning of unmanned aerial vehicles
Selçuk Aslan, Sercan Demіrcі
Egyptian Informatics Journal (2024) Vol. 26, pp. 100468-100468
Open Access | Times Cited: 2
A hybrid genetic programming algorithm for the distributed assembly scheduling problems with transportation and sequence-dependent setup times
Jiawen Deng, Jihui Zhang, Shengxiang Yang
Engineering Optimization (2024), pp. 1-27
Closed Access | Times Cited: 2
Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer
Hongliang Zhang, Yi Chen, Yuteng Zhang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 2, pp. 1459-1483
Open Access | Times Cited: 2
Biased Bi-Population Evolutionary Algorithm for Energy-Efficient Fuzzy Flexible Job Shop Scheduling with Deteriorating Jobs
Libao Deng, Yingjian Zhu, Yuanzhu Di, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 1, pp. 15-32
Open Access | Times Cited: 2
Optimizing elective surgery scheduling amidst the COVID-19 pandemic using artificial intelligence strategies
Manel Belkhamsa, Jalel Euchi, Patrick Siarry
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101690-101690
Closed Access | Times Cited: 2
An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming
Yarong Chen, Jia Yan Du, Jabir Mumtaz, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125616-125616
Closed Access | Times Cited: 2
A Novel Adaptive Bandit-Based Selection Hyper-Heuristic for Multiobjective Optimization
Shuyan Zhang, Tailong Yang, Jing Liang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7693-7706
Closed Access | Times Cited: 5
An effective multi-objective adaptive iterated greedy algorithm for semi-open multi-AGV scheduling problem with charging and maintenance
Wenqiang Zou, Yang Li, Hongyan Sang, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101413-101413
Closed Access | Times Cited: 5
Mathematical Modeling and a Multiswarm Collaborative Optimization Algorithm for Fuzzy Integrated Process Planning and Scheduling Problem
Qihao Liu, Cuiyu Wang, Xinyu Li, et al.
Tsinghua Science & Technology (2023) Vol. 29, Iss. 2, pp. 285-304
Open Access | Times Cited: 4
A slack speed-up based discrete artificial bee colony algorithm for resource-constrained operating room scheduling problem
Mei‐Chen Yang, Quan-Ke Pan, Hongyan Sang, et al.
Computers & Industrial Engineering (2023) Vol. 186, pp. 109760-109760
Closed Access | Times Cited: 4
Multi-strategy improved sparrow search algorithm for job shop scheduling problem
Zhengfeng Li, Changchun Zhao, Guohui Zhang, et al.
Cluster Computing (2023) Vol. 27, Iss. 4, pp. 4605-4619
Closed Access | Times Cited: 4
Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling—A Real-World Application in Household Appliance Production
Arthur Müller, Felix Grumbach, Fiona Kattenstroth
IEEE Access (2024) Vol. 12, pp. 11388-11399
Open Access | Times Cited: 1
Integrating meta-heuristics and a Sarsa algorithm for disassembly scheduling problems with cycle time and hazard coefficients
Dachao Li, Kaizhou Gao, Yaxian Ren, et al.
Green Manufacturing Open (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem
Qi Zhang, Bin Xu, Man Yao, et al.
Mathematics (2024) Vol. 12, Iss. 6, pp. 816-816
Open Access | Times Cited: 1
An ensemble of brain storm optimization and Q-learning methods for distributed flexible job shop scheduling problems with distribution operations
Zhengpei Zhang, Yunqiang Yin, Yaping Fu
International Journal of General Systems (2024) Vol. 53, Iss. 7-8, pp. 863-897
Closed Access | Times Cited: 1

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