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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 multi-agent double Deep-Q-network based on state machine and event stream for flexible job shop scheduling problem
Minghai Yuan, Hanyu Huang, Zichen Li, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102230-102230
Closed Access | Times Cited: 14

Showing 14 citing articles:

A review of research on reinforcement learning algorithms for multi-agents
Kai Hu, Mingyang Li, Zhiqiang Song, et al.
Neurocomputing (2024) Vol. 599, pp. 128068-128068
Closed Access | Times Cited: 11
Quantum particle swarm optimization with chaotic encoding schemes for flexible job-shop scheduling problem
Yuanxing Xu, Deguang Wang, Mengjian Zhang, et al.
Swarm and Evolutionary Computation (2025) Vol. 93, pp. 101836-101836
Closed Access | Times Cited: 1
Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing
Xin Chen, Yibing Li, Kaipu Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 188-206
Closed Access | Times Cited: 7
Preference learning based deep reinforcement learning for flexible job shop scheduling problem
Xinning Liu, Han‐Xiong Li, Ling Kang, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 2
Open 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
Production-logistics collaborative scheduling in dynamic flexible job shops using nested-hierarchical deep reinforcement learning
Jiaxuan Shi, Fei Qiao, Juan Liu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103195-103195
Closed Access
Deep reinforcement learning for solving efficient and energy-saving flexible job shop scheduling problem with multi-AGV
Weiyao Cheng, Chaoyong Zhang, Leilei Meng, et al.
Computers & Operations Research (2025), pp. 107087-107087
Closed Access
Efficiency improvement in energy consumption: A novel deep learning based model for leading a greener Economic recovery
Zhiliang Chu, Wang Yizhu
Sustainable Cities and Society (2024) Vol. 108, pp. 105427-105427
Closed Access | Times Cited: 4
An effective deep actor-critic reinforcement learning method for solving the flexible job shop scheduling problem
Lanjun Wan, Xueyan Cui, Haoxin Zhao, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 11877-11899
Closed Access | Times Cited: 3
An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions
Donghun Lee, In-Beom Park, Kwanho Kim
Applied Soft Computing (2024) Vol. 164, pp. 112002-112002
Closed Access | Times Cited: 3
A novel method-based reinforcement learning with deep temporal difference network for flexible double shop scheduling problem
Xiao Wang, Peisi Zhong, Mei Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Mixed-production flexible assembly job shop scheduling considering parallel assembly sequence variations under dual-resource constraints using multi-objective hybrid memetic algorithm
Xin Lu, Cong Lu
Computers & Operations Research (2024), pp. 106932-106932
Closed Access | Times Cited: 1
DT-LSMAS: Digital Twin-Assisted Large-Scale Multiagent System for Healthcare Workflows
Abdullah Lakhan, Mazin Abed Mohammed, Dilovan Asaad Zebar, et al.
IEEE Systems Journal (2024) Vol. 18, Iss. 4, pp. 1883-1892
Closed Access | Times Cited: 1
A multi-agent reinforcement learning based scheduling strategy for flexible job shops under machine breakdowns
Lingling Lv, Jiaxin Fan, Chunjiang Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 93, pp. 102923-102923
Closed Access
A dynamic flexible job shop scheduling method based on collaborative agent reinforcement learning
Changshun Shao, Zhenglin Yu, Hongchang Ding, et al.
Flexible Services and Manufacturing Journal (2024)
Closed Access
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