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:
Combining Reinforcement Learning Algorithms with Graph Neural Networks to Solve Dynamic Job Shop Scheduling Problems
Yang Zhong, Li Bi, Xiaogang Jiao
Processes (2023) Vol. 11, Iss. 5, pp. 1571-1571
Open Access | Times Cited: 13
Yang Zhong, Li Bi, Xiaogang Jiao
Processes (2023) Vol. 11, Iss. 5, pp. 1571-1571
Open Access | Times Cited: 13
Showing 13 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: 15
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 15
Graph neural networks for job shop scheduling problems: A survey
Igor G. Smit, Jianan Zhou, Robbert Reijnen, et al.
Computers & Operations Research (2024), pp. 106914-106914
Open Access | Times Cited: 5
Igor G. Smit, Jianan Zhou, Robbert Reijnen, et al.
Computers & Operations Research (2024), pp. 106914-106914
Open Access | Times Cited: 5
Efficient Exams Scheduling in Uncertain Conditions: A Graph Neural Network and Deep Q-Learning for Value Iteration Approach
D. Teja Santosh, M. Raghava, Jyothirmai Joshi, et al.
Lecture notes in computer science (2025), pp. 218-230
Closed Access
D. Teja Santosh, M. Raghava, Jyothirmai Joshi, et al.
Lecture notes in computer science (2025), pp. 218-230
Closed Access
Dynamic flexible flow shop scheduling via cross-attention networks and multi-agent reinforcement learning
Jinlong Zheng, Yixin Zhao, Yinya Li, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 395-411
Closed Access
Jinlong Zheng, Yixin Zhao, Yinya Li, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 395-411
Closed Access
Fusion Q-Learning Algorithm for Open Shop Scheduling Problem with AGVs
Xiaoyu Wen, Haobo Zhang, Hao Li, et al.
Mathematics (2024) Vol. 12, Iss. 3, pp. 452-452
Open Access | Times Cited: 2
Xiaoyu Wen, Haobo Zhang, Hao Li, et al.
Mathematics (2024) Vol. 12, Iss. 3, pp. 452-452
Open Access | Times Cited: 2
Design and calibration of a DRL algorithm for solving the job shop scheduling problem under unexpected job arrivals
Nour El Houda Hammami, Benoit Lardeux, Atidel B. Hadj-Alouane, et al.
Flexible Services and Manufacturing Journal (2024)
Closed Access | Times Cited: 2
Nour El Houda Hammami, Benoit Lardeux, Atidel B. Hadj-Alouane, et al.
Flexible Services and Manufacturing Journal (2024)
Closed Access | Times Cited: 2
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review
Chao Zhang, Max Juraschek, Christoph Herrmann
Journal of Manufacturing Systems (2024) Vol. 77, pp. 962-989
Open Access | Times Cited: 2
Chao Zhang, Max Juraschek, Christoph Herrmann
Journal of Manufacturing Systems (2024) Vol. 77, pp. 962-989
Open Access | Times Cited: 2
A literature review of reinforcement learning methods applied to job-shop scheduling problems
Xiehui Zhang, Guangyu Zhu
Computers & Operations Research (2024), pp. 106929-106929
Closed Access | Times Cited: 2
Xiehui Zhang, Guangyu Zhu
Computers & Operations Research (2024), pp. 106929-106929
Closed Access | Times Cited: 2
Study on the application of single-agent and multi-agent reinforcement learning to dynamic scheduling in manufacturing environments with growing complexity: Case study on the synthesis of an industrial IoT Test Bed
H. A. David, Fouad Bahrpeyma, Dirk Reichelt
Journal of Manufacturing Systems (2024) Vol. 77, pp. 525-557
Open Access | Times Cited: 1
H. A. David, Fouad Bahrpeyma, Dirk Reichelt
Journal of Manufacturing Systems (2024) Vol. 77, pp. 525-557
Open Access | Times Cited: 1
A State Transition Diagram and an Artificial Physarum polycephalum Colony Algorithm for the Flexible Job Shop Scheduling Problem with Transportation Constraints
Zhengying Cai, Yihang Feng, Shanshan Yang, et al.
Processes (2023) Vol. 11, Iss. 9, pp. 2646-2646
Open Access | Times Cited: 3
Zhengying Cai, Yihang Feng, Shanshan Yang, et al.
Processes (2023) Vol. 11, Iss. 9, pp. 2646-2646
Open Access | Times Cited: 3
Research on dynamic decision-making for product assembly sequence based on Connector-Linked Model and deep reinforcement learning
Kai Guo, Rui Liu, Guijiang Duan, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 451-473
Closed Access | Times Cited: 3
Kai Guo, Rui Liu, Guijiang Duan, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 451-473
Closed Access | Times Cited: 3
Forced Periodic Optimal Scheduling Policy for Graph Reinforcement Learning
Miguel S. E. Martins, Susana M. Vieira, João M. C. Sousa
Lecture notes in networks and systems (2024), pp. 126-137
Closed Access
Miguel S. E. Martins, Susana M. Vieira, João M. C. Sousa
Lecture notes in networks and systems (2024), pp. 126-137
Closed Access
A Reinforcement Learning Framework for Online Batch Process Scheduling
Syu-Ning Johnn, Vassilis M. Charitopoulos
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 1783-1788
Closed Access
Syu-Ning Johnn, Vassilis M. Charitopoulos
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 1783-1788
Closed Access
