
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:
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
Kuo‐Hao Ho, Jui-Yu Cheng, Ji-Han Wu, et al.
IEEE Access (2024) Vol. 12, pp. 14703-14718
Open Access | Times Cited: 8
Kuo‐Hao Ho, Jui-Yu Cheng, Ji-Han Wu, et al.
IEEE Access (2024) Vol. 12, pp. 14703-14718
Open Access | Times Cited: 8
Showing 8 citing articles:
Dynamic Job-Shop Scheduling via Graph Attention Networks and Deep Reinforcement Learning
Chien‐Liang Liu, Chun-Jan Tseng, P.S. Weng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8662-8672
Closed Access | Times Cited: 7
Chien‐Liang Liu, Chun-Jan Tseng, P.S. Weng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8662-8672
Closed Access | Times Cited: 7
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
A Deep Reinforcement Learning Method Based on a Transformer Model for the Flexible Job Shop Scheduling Problem
Shuai Xu, Yanwu Li, Qiuyang Li
Electronics (2024) Vol. 13, Iss. 18, pp. 3696-3696
Open Access | Times Cited: 4
Shuai Xu, Yanwu Li, Qiuyang Li
Electronics (2024) Vol. 13, Iss. 18, pp. 3696-3696
Open Access | Times Cited: 4
Multi-Assignment Scheduler: A New Behavioral Cloning Method for the Job-Shop Scheduling Problem
Imanol Echeverria, Maialen Murua, Roberto Santana
Lecture notes in computer science (2025), pp. 138-152
Closed Access
Imanol Echeverria, Maialen Murua, Roberto Santana
Lecture notes in computer science (2025), pp. 138-152
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
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
Chien‐Liang Liu, P.S. Weng, Chun-Jan Tseng
Computers & Industrial Engineering (2025), pp. 111060-111060
Closed Access
Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem
Imanol Echeverria, Maialen Murua, Roberto Santana
Expert Systems with Applications (2024) Vol. 265, pp. 125895-125895
Open Access | Times Cited: 1
Imanol Echeverria, Maialen Murua, Roberto Santana
Expert Systems with Applications (2024) Vol. 265, pp. 125895-125895
Open Access | Times Cited: 1
Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement Learning with Soft Shielding
Lele Li, Liyong Lin
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2024), pp. 646-652
Open Access
Lele Li, Liyong Lin
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2024), pp. 646-652
Open Access