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:

Research on flexible job shop scheduling problem with AGV using double DQN
Minghai Yuan, Liang Zheng, Hanyu Huang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 14

Showing 14 citing articles:

Tabu search based on novel neighborhood structures for solving job shop scheduling problem integrating finite transportation resources
Youjie Yao, Lin Gui, Xinyu Li, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 89, pp. 102782-102782
Closed Access | Times Cited: 7

Integrated scheduling of material delivery and processing
Jinlong Zheng, Yixin Zhao, Jianfeng Li, et al.
Computers & Industrial Engineering (2025), pp. 110863-110863
Closed Access

Research on dynamic job shop scheduling problem with AGV based on DQN
Zhengfeng Li, Wengpeng Gu, Huichao Shang, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access

An improved multi-objective evolutionary algorithm for the low-carbon flexible job shop scheduling with automated guided vehicles
Wenlong Li, Huan Li, Yuyan Han, et al.
Applied Soft Computing (2025), pp. 113048-113048
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

Clean Energy Self-Consistent Systems for Automated Guided Vehicle (AGV) Logistics Scheduling in Automated Ports
Jie Wang, Yongping Li, Zhiqiang Liu, et al.
Sustainability (2025) Vol. 17, Iss. 8, pp. 3411-3411
Open Access

Dynamic flexible scheduling with transportation constraints by multi-agent reinforcement learning
Lixiang Zhang, Yan Yan, Yaoguang Hu
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108699-108699
Closed Access | Times Cited: 3

Integrated scheduling of multi-objective lot-streaming hybrid flowshop with AGV based on deep reinforcement learning
Hongtao Tang, Jiawei Huang, Chenhao Ren, et al.
International Journal of Production Research (2024), pp. 1-29
Closed Access | Times Cited: 3

Dynamic Integrated Scheduling of Production Equipment and Automated Guided Vehicles in a Flexible Job Shop Based on Deep Reinforcement Learning
Jingrui Wang, Yi Li, Zhongwei Zhang, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2423-2423
Open Access | Times Cited: 2

A novel neighborhood structure for flexible job shop scheduling problem considering Quality-Efficiency coupling effect
Qinglin Zheng, Wei Dai, Changsheng Peng, et al.
Computers & Industrial Engineering (2024), pp. 110735-110735
Closed Access | Times Cited: 1

Dynamic Stability-Aware Scheduling based on Dueling Double Deep Q-Network in FJSP
J.C. Du, Fangyu Li, Honggui Han
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 5715-5720
Closed Access

Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities
Ming Wang, Jie Zhang, Peng Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 946-961
Closed Access

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