Open Access Helper

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:

Dynamic job-shop scheduling using graph reinforcement learning with auxiliary strategy
Zhenyu Liu, Haoyang Mao, Guodong Sa, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 1-18
Closed Access | Times Cited: 7

Showing 7 citing articles:

Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times
Hao Wang, W. Lin, Tao Peng, et al.
Expert Systems with Applications (2025), pp. 126441-126441
Closed Access
Intelligente Energieoptimierung für nachhaltige Produktionssysteme
A. Schneider, Martin Barth, Alexander Müller, et al.
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2025) Vol. 120, Iss. 1-2, pp. 76-80
Closed Access
Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning
Meng Xu, Yi Mei, Fangfang Zhang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Harnessing heterogeneous graph neural networks for Dynamic Job-Shop Scheduling Problem solutions
Chien‐Liang Liu, P.S. Weng, Chun-Jan Tseng
Computers & Industrial Engineering (2025), pp. 111060-111060
Closed Access
Optimization of Urban Mobility with IoT and Big Data: Technology for the Information and Knowledge Society in Industry 5.0
Edwin Gerardo Acuña Acuña, Ana Almanza Ferruzca, Jimmy Rojas, et al.
Communications in computer and information science (2025), pp. 46-61
Closed Access
A self-adaptive agent for flexible posture planning in robotic milling system
Shengqiang Zhao, Fangyu Peng, Juntong Su, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 228-245
Closed Access | Times Cited: 2
Deep reinforcement learning for solving car resequencing with selectivity banks in automotive assembly shops
Yuzhe Huang, Gaocai Fu, Buyun Sheng, et al.
International Journal of Production Research (2024), pp. 1-22
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
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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