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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:

A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times
Fuqing Zhao, Gang Zhou, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 8, pp. 4899-4911
Closed Access | Times Cited: 38

Showing 1-25 of 38 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: 35
A multi-dimensional co-evolutionary algorithm for multi-objective resource-constrained flexible flowshop with robotic transportation
Jiake Li, Rong-hao Li, Junqing Li, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112689-112689
Closed Access | Times Cited: 2
A disjunctive graph-based metaheuristic for flexible job-shop scheduling problems considering fixture shortages in customized manufacturing systems
Jiahang Li, Qihao Liu, Cuiyu Wang, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 95, pp. 102981-102981
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: 15
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 15
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling
Haizhu Bao, Quan-Ke Pan, Rubén Ruíz, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101399-101399
Closed Access | Times Cited: 20
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems
Yushuang Hou, Hongfeng Wang, Xiaoliang Huang
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107434-107434
Closed Access | Times Cited: 17
An efficient collaborative multi-swap iterated greedy algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance
Qiu-Yang Han, Hongyan Sang, Quan-Ke Pan, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101537-101537
Closed Access | Times Cited: 8
Integrated Scheduling of Multi-Constraint Open Shop and Vehicle Routing: Mathematical Model and Learning-Driven Brain Storm Optimization Algorithm
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111943-111943
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
A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery
Libao Deng, Yuanzhu Di, Ling Wang
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 2, pp. 1024-1036
Closed Access | Times Cited: 13
A cooperative grey wolf optimizer for the joint flowshop scheduling problem with sequence-dependent set-up time
Shuilin Chen, Jianguo Zheng, Wenqiu Zhang
Engineering Optimization (2024), pp. 1-23
Closed Access | Times Cited: 5
An end-to-end decentralised scheduling framework based on deep reinforcement learning for dynamic distributed heterogeneous flowshop scheduling
Haoran Li, Liang Gao, Qingsong Fan, et al.
International Journal of Production Research (2025), pp. 1-21
Closed Access
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: 3
A rule fitting and Filtering-based heuristic approach for the Multi-Stage assembly scheduling problem with multiple constraints
Zhangsheng Su, Chao Deng, Raymond Chiong, et al.
Computers & Industrial Engineering (2025), pp. 110950-110950
Open Access
Integrated heterogeneous graph and reinforcement learning enabled efficient scheduling for surface mount technology workshop
Biao Zhang, Hongyan Sang, Chao Lu, et al.
Information Sciences (2025), pp. 122023-122023
Closed Access
Solving the Permutation Flow Shop Scheduling Problem with Sequence-dependent Setup Time via Iterative Greedy Algorithm and Imitation Learning
Zhaosheng Du, Jun-qing Li, Haonan Song, et al.
Mathematics and Computers in Simulation (2025) Vol. 234, pp. 169-193
Closed Access
Discrete Gray Wolf Optimizer for Solving Distributed Permutation Flowshop Scheduling Problem
Shuilin Chen, Jianguo Zheng
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 9-11
Closed Access
Multi-objective scheduling for surface mount technology workshop: automatic design of two-layer decomposition-based approach
Biao Zhang, Zhixuan Wang, Leilei Meng, et al.
International Journal of Production Research (2025), pp. 1-21
Closed Access
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem
Yuan Kuang, Xiuli Wu, Ziqi Chen, et al.
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101455-101455
Closed Access | Times Cited: 9
A Penalty Groups-Assisted Iterated Greedy Integrating Idle Time Insertion: Solving the Hybrid Flow Shop Group Scheduling with Delivery Time Windows
Qianhui Ji, Yuyan Han, Yuting Wang, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 2, pp. 137-165
Open Access | Times Cited: 3
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
Modelling and scheduling distributed assembly permutation flow-shops using reinforcement learning-based evolutionary algorithms
Bohan Qiu, Kaizhou Gao, Hui Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109851-109851
Closed Access | Times Cited: 2
A biogeography-based optimization algorithm with local search for large-scale heterogeneous distributed scheduling with multiple process plans
Yaya Zhang, Xingsheng Gu
Neurocomputing (2024) Vol. 595, pp. 127897-127897
Closed Access | Times Cited: 1
Theoretical analysis and methods of rapid evaluation: Solving the blocking flowshop group scheduling problem with the total flow time and total tardiness time criteria
Yuting Wang, Yuyan Han, Huan Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101604-101604
Closed Access | Times Cited: 1
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