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:

A Novel Approach to the Job Shop Scheduling Problem Based on the Deep Q-Network in a Cooperative Multi-Access Edge Computing Ecosystem
Junhyung Moon, Minyeol Yang, Jongpil Jeong
Sensors (2021) Vol. 21, Iss. 13, pp. 4553-4553
Open Access | Times Cited: 9

Showing 9 citing articles:

Deep reinforcement learning in smart manufacturing: A review and prospects
Chengxi Li, Pai Zheng, Yue Yin, et al.
CIRP journal of manufacturing science and technology (2022) Vol. 40, pp. 75-101
Closed Access | Times Cited: 159
Dynamic Job-Shop Scheduling Problems Using Graph Neural Network and Deep Reinforcement Learning
Chien‐Liang Liu, Tzu‐Hsuan Huang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 11, pp. 6836-6848
Closed Access | Times Cited: 33
Design patterns of deep reinforcement learning models for job shop scheduling problems
Shiyong Wang, Jiaxian Li, Qingsong Jiao, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Research on sustainable collaborative scheduling problem of multi-stage mixed flow shop for crankshaft components
Liang Nie, Qinglei Zhang, Mengyu Feng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
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
A Reinforcement Learning Algorithm for Dynamic Job Shop Scheduling
Laura Alcamo, Giulia Bruno, Niccolò Giovenali
Communications in computer and information science (2025), pp. 350-366
Closed Access
Industry 4.0 and industrial workflow scheduling: A survey
Kaya Souaïbou Hawaou, Vivient Corneille Kamla, Sonia Yassa, et al.
Journal of Industrial Information Integration (2023) Vol. 38, pp. 100546-100546
Closed Access | Times Cited: 9
Evaluation of Task Scheduling Algorithms in Heterogeneous Computing Environments
Roxana-Gabriela Stan, Lidia Băjenaru, Cătălin Negru, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5906-5906
Open Access | Times Cited: 4
Prediction of Soil Heavy Metal Content Based on Deep Reinforcement Learning
Yongqi Zhao, Zhangdong Wei, Jing Wen
Scientific Programming (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 2
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