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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 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

Showing 10 citing articles:

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: 10
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers
Zhijie Yang, Xinkai Hu, Yibing Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 398-418
Closed Access
A random flight–follow leader and reinforcement learning approach for flexible job shop scheduling problem
Changshun Shao, Zhenglin Yu, Hongchang Ding, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Deep reinforcement learning-based memetic algorithm for solving dynamic distributed green flexible job shop scheduling problem with finite transportation resources
Xinxin Zhou, Feimeng Wang, Bin Wu, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101885-101885
Closed Access
A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm
Linshan Ding, Dan Luo, Mudassar Rauf, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101907-101907
Closed Access
A reinforcement learning hyper-heuristic algorithm for the distributed flowshops scheduling problem under consideration of emergency order insertion
Fuqing Zhao, Yuebao Liu, Tianpeng Xu, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112461-112461
Closed Access
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks
Yao Huang, Yinan Guo, Guoyu Chen, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101778-101778
Closed Access
A Dynamic Scheduling Method Combining Iterative Optimization and Deep Reinforcement Learning to Solve Sudden Disturbance Events in a Flexible Manufacturing Process
Jun Yan, Tianzuo Zhao, Tao Zhang, et al.
Mathematics (2024) Vol. 13, Iss. 1, pp. 4-4
Open Access
Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics
Zhangying Xu, Qi Jia, Kaizhou Gao, et al.
Mathematics (2024) Vol. 13, Iss. 1, pp. 102-102
Open Access
Research on the Improvement of Bacterial Foraging Algorithm for Flexible Job shop Scheduling Problem
Xiaoyan Wang, Shuaiwen Wang, Taoliang Wang
Research Square (Research Square) (2024)
Open Access
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