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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:

Reinforcement Learning Approach in Supply Chain Management
Rajkanwar Singh, P. Mandal, Sukanta Nayak
(2024), pp. 271-302
Closed Access | Times Cited: 12

Showing 12 citing articles:

AI-enabled Enterprise Information Systems for Manufacturing
Milan Zdravković, Hervé Panetto, Georg Weichhart
Enterprise Information Systems (2021) Vol. 16, Iss. 4, pp. 668-720
Open Access | Times Cited: 60
Deep reinforcement learning approach for solving joint pricing and inventory problem with reference price effects
Qiang Zhou, Yefei Yang, Shaochuan Fu
Expert Systems with Applications (2022) Vol. 195, pp. 116564-116564
Closed Access | Times Cited: 30
A Reinforcement Learning Integrated in Heuristic search method for self-driving vehicle using blockchain in supply chain management
N. Nasurudeen Ahamed, P. Karthikeyan
International Journal of Intelligent Networks (2020) Vol. 1, pp. 92-101
Open Access | Times Cited: 27
A Reinforcement Learning approach for a Decision Support System for logistics networks
Markus Rabe, Felix Dross
2018 Winter Simulation Conference (WSC) (2015)
Closed Access | Times Cited: 32
Analyses about efficiency of reinforcement learning to supply chain ordering management
Ruoying Sun, Gang Zhao
(2012), pp. 124-127
Closed Access | Times Cited: 11
Reinforcement learning for procurement agents of factory of the future
Burak Simsek, Şahin Albayrak, A. Korth
(2005), pp. 1331-1337
Closed Access | Times Cited: 6
Application of multi-agent Reinforcement Learning to supply chain ordering management
Gang Zhao, Ruoying Sun
2010 Sixth International Conference on Natural Computation (2010), pp. 3830-3834
Closed Access | Times Cited: 4
Policy Transition of Reinforcement Learning for an Agent Based SCM System
Gang Zhao, Ruoying Sun
(2006), pp. 793-798
Closed Access | Times Cited: 5
A multi-agent coordination of a supply chain ordering management with multiple members using Reinforcement Learning
Ruoying Sun, Gang Zhao, Chunhua Yin
(2010), pp. 612-616
Closed Access | Times Cited: 3
MaaS-Motivated Synergetic Design of Intelligent Mobility Service Supply Chain Network towards Seamless Traveling and Integrated Multimodal Journey Planning
Jiamin Zhang
(2023)
Open Access | Times Cited: 1
Math Programming based Reinforcement Learningfor Multi-Echelon Inventory Management
Pavithra Harsha, Ashish Jagmohan, Jayant Kalagnanam, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 2
The Improvement on Reinforcement Learning for SCM by the Agent Policy Mapping
Ruoying Sun, Gang Zhao, Chen Li, et al.
Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (2006), pp. 3585-3590
Closed Access | Times Cited: 1
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