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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 particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals
Zhen Wang, Jihui Zhang, Shengxiang Yang
Swarm and Evolutionary Computation (2019) Vol. 51, pp. 100594-100594
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

A novel enhanced whale optimization algorithm for global optimization
Sanjoy Chakraborty, Apu Kumar Saha, Sushmita Sharma, et al.
Computers & Industrial Engineering (2020) Vol. 153, pp. 107086-107086
Closed Access | Times Cited: 164
A survey of job shop scheduling problem: The types and models
Hegen Xiong, Shuangyuan Shi, Danni Ren, et al.
Computers & Operations Research (2022) Vol. 142, pp. 105731-105731
Closed Access | Times Cited: 121
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 147-167
Closed Access | Times Cited: 57
Evolutionary game based real-time scheduling for energy-efficient distributed and flexible job shop
Jin Wang, Yang Liu, Shan Ren, et al.
Journal of Cleaner Production (2021) Vol. 293, pp. 126093-126093
Open Access | Times Cited: 66
Multiobjective Flexible Job-Shop Rescheduling With New Job Insertion and Machine Preventive Maintenance
Youjun An, Xiaohong Chen, Kaizhou Gao, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 5, pp. 3101-3113
Closed Access | Times Cited: 64
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications
Yiying Zhang
Swarm and Evolutionary Computation (2022) Vol. 76, pp. 101212-101212
Closed Access | Times Cited: 54
Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning
Shengluo Yang, Junyi Wang, Zhigang Xu
Advanced Engineering Informatics (2022) Vol. 54, pp. 101776-101776
Closed Access | Times Cited: 49
A multi-objective migrating birds optimization algorithm based on game theory for dynamic flexible job shop scheduling problem
Lixin Wei, Jinxian He, Zeyin Guo, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120268-120268
Closed Access | Times Cited: 36
A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem
Renke Liu, Rajesh Piplani, Carlos Toro
Computers & Operations Research (2023) Vol. 159, pp. 106294-106294
Closed Access | Times Cited: 31
A DRL-Based Reactive Scheduling Policy for Flexible Job Shops With Random Job Arrivals
Linlin Zhao, Jiaxin Fan, Chunjiang Zhang, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 2912-2923
Closed Access | Times Cited: 30
Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints
Youjun An, Xiaohong Chen, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101243-101243
Closed Access | Times Cited: 27
Parallel dynamic NSGA-II with multi-population search for rescheduling of Seru production considering schedule changes under different dynamic events
Xiaolong Li, Zhecong Zhang, Wei Sun, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121993-121993
Closed Access | Times Cited: 24
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs
Youjie Yao, Xinyu Li, Liang Gao
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101544-101544
Closed Access | Times Cited: 13
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources
Rensheng Chen, Bin Wu, Hua Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101658-101658
Closed Access | Times Cited: 10
A Hierarchical Multi-Action Deep Reinforcement Learning Method for Dynamic Distributed Job-Shop Scheduling Problem With Job Arrivals
Jiang‐Ping Huang, Liang Gao, Xinyu Li
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 2501-2513
Closed Access | Times Cited: 9
Bi-level dynamic scheduling architecture based on service unit digital twin agents
Jian Zhang, Tingming Deng, Haifan Jiang, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 59-79
Closed Access | Times Cited: 53
Integrating simulation and FITradeoff method for scheduling rules selection in job-shop production systems
Isaac Pergher, Eduarda Asfora Frej, Lucia Reis Peixoto Roselli, et al.
International Journal of Production Economics (2020) Vol. 227, pp. 107669-107669
Closed Access | Times Cited: 52
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem
Ming Chen, Jun Wen, Yanjie Song, et al.
Swarm and Evolutionary Computation (2021) Vol. 65, pp. 100912-100912
Closed Access | Times Cited: 45
Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning
Shengluo Yang, Zhigang Xu, Junyi Wang
Sensors (2021) Vol. 21, Iss. 3, pp. 1019-1019
Open Access | Times Cited: 41
Dynamic scheduling method for integrated process planning and scheduling problem with machine fault
Xiaoyu Wen, Xiaonan Lian, Yunjie Qian, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102334-102334
Closed Access | Times Cited: 36
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1705-1719
Closed Access | Times Cited: 27
A parallel heuristic for hybrid job shop scheduling problem considering conflict-free AGV routing
Arash Amirteimoori, Erfan Babaee Tırkolaee, Vladimir Šimić, et al.
Swarm and Evolutionary Computation (2023) Vol. 79, pp. 101312-101312
Closed Access | Times Cited: 21
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals
Jiang‐Ping Huang, Liang Gao, Xinyu Li, et al.
Computers & Industrial Engineering (2023) Vol. 185, pp. 109650-109650
Closed Access | Times Cited: 16
Dynamic job-shop scheduling using graph reinforcement learning with auxiliary strategy
Zhenyu Liu, Haoyang Mao, Guodong Sa, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 1-18
Closed Access | Times Cited: 7
Two-stage double deep Q-network algorithm considering external non-dominant set for multi-objective dynamic flexible job shop scheduling problems
Lei Yue, Kai Peng, Linshan Ding, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101660-101660
Closed Access | Times Cited: 6
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