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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 Reinforcement Learning Approach to the Dynamic Job Shop Scheduling Problem
Ali Fırat İnal, Çağrı Sel, Adnan Aktepe, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8262-8262
Open Access | Times Cited: 9

Showing 9 citing articles:

Efficient Multi-Objective Optimization on Dynamic Flexible Job Shop Scheduling Using Deep Reinforcement Learning Approach
Z. H. Wu, Hongbo Fan, Yimeng Sun, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2018-2018
Open Access | Times Cited: 22
Due Date Determination in Dynamic Job Shop Scheduling with Artificial Neural Network
Mümtaz İpek, İsmail Hakkı Cedi̇moğlu
Journal of Intelligent Systems Theory and Applications (2025) Vol. 8, Iss. 1, pp. 84-94
Open Access
A Review of Scheduling Methods for Multi-AGV Material Handling Systems in Mixed-Model Assembly Workshops
Tianyuan Mao
Frontiers in Sustainable Development (2025) Vol. 5, Iss. 3, pp. 227-237
Closed Access
Quantum Artificial Intelligence: A Brief Survey
Matthias Klusch, Jörg Lässig, Daniel Müssig, et al.
KI - Künstliche Intelligenz (2024) Vol. 38, Iss. 4, pp. 257-276
Open Access | Times Cited: 3
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
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
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
Reinforcement learning and digital twin-driven optimization of production scheduling with the digital model playground
Arne Seipolt, Ralf Buschermöhle, Volker Haag, et al.
Discover Internet of Things (2024) Vol. 4, Iss. 1
Open Access
Learning in multi-agent systems to solve scheduling problems: a systematic literature review
Gabriel Icarte-Ahumada, Johan Montoya, Zhangyuan He
Ingeniare. Revista chilena de ingeniería (2024) Vol. 32
Open Access
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