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:
Flexible job shop scheduling via deep reinforcement learning with meta-path-based heterogeneous graph neural network
Lanjun Wan, Long Fu, Changyun Li, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111940-111940
Closed Access | Times Cited: 7
Lanjun Wan, Long Fu, Changyun Li, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111940-111940
Closed Access | Times Cited: 7
Showing 7 citing articles:
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
Open Access
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
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
Changshun Shao, Zhenglin Yu, Hongchang Ding, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed 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
Biao Zhang, Hongyan Sang, Chao Lu, et al.
Information Sciences (2025), pp. 122023-122023
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
Weiyao Cheng, Chaoyong Zhang, Leilei Meng, et al.
Computers & Operations Research (2025), pp. 107087-107087
Closed Access
FlexSim-Simulated PCB Assembly Line Optimization Using Deep Q-Network
Jinhao Du, Jabir Mumtaz, Wenxi Zhao, et al.
(2024), pp. 34-34
Open Access
Jinhao Du, Jabir Mumtaz, Wenxi Zhao, et al.
(2024), pp. 34-34
Open 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
Changshun Shao, Zhenglin Yu, Hongchang Ding, et al.
Flexible Services and Manufacturing Journal (2024)
Closed Access
A reinforcement learning method for flexible job shop scheduling based on multi-head attention and deep residual network
Changshun Shao, Zhenglin Yu, Hongchang Ding, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 110044-110044
Closed Access
Changshun Shao, Zhenglin Yu, Hongchang Ding, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 110044-110044
Closed Access
