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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:

Look-ahead based reinforcement learning for robotic flow shop scheduling
Hyun-Jung Kim, Jun-Ho Lee
Journal of Manufacturing Systems (2023) Vol. 68, pp. 160-175
Closed Access | Times Cited: 13

Showing 13 citing articles:

A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems
Jin Xie, Xinyu Li, Liang Gao, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 82-94
Closed Access | Times Cited: 42
Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels
Youshan Liu, Jiaxin Fan, Linlin Zhao, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 84, pp. 102605-102605
Closed Access | Times Cited: 39
A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling
Jiang‐Ping Huang, Liang Gao, Xinyu Li, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 119-134
Closed Access | Times Cited: 33
Reentrant hybrid flow shop scheduling with stockers in automated material handling systems using deep reinforcement learning
Chun‐Cheng Lin, Yi-Chun Peng, Yung‐Sheng Chang, et al.
Computers & Industrial Engineering (2024) Vol. 189, pp. 109995-109995
Closed Access | Times Cited: 6
Mixed-batch scheduling to minimize total tardiness using deep reinforcement learning
JinDian Huang
Applied Soft Computing (2024) Vol. 160, pp. 111699-111699
Closed Access | Times Cited: 3
Petri-net-based deep reinforcement learning for real-time scheduling of automated manufacturing systems
Jiliang Luo, Sijia Yi, Zexuan Lin, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 995-1008
Closed Access | Times Cited: 3
Q-learning Guided Algorithms for Bi-Criteria Minimization of Total Flow Time and Makespan in No-Wait Permutation Flowshops
Damla Yüksel, Levent Kandiller, M. Fatih Taşgetiren
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101617-101617
Closed Access | Times Cited: 3
Considering the peak power consumption problem with learning and deterioration effect in flow shop scheduling
Dan‐Yang Lv, Ji-Bo Wang
Computers & Industrial Engineering (2024), pp. 110599-110599
Closed Access | Times Cited: 3
Optimization framework of laser oscillation welding based on a deep predictive reward reinforcement learning net
Wenhao Tian, Peipei Hu, Chen Zhang
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
Deep Reinforcement Learning With a Look-Ahead Search for Robotic Cell Scheduling
Hyun-Jung Kim, Jun-Ho Lee
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 1, pp. 622-633
Closed Access | Times Cited: 3
Energy efficient scheduling in a robotic cell with a material handling robot serving two parallel machines
Çiya Aydoğan, Si̇nan Gürel
International Journal of Production Research (2024), pp. 1-18
Closed Access
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning
Donghai Wang, Shun Liu, Jing Zou, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 81-93
Closed Access
A Νew Heuristic Optimization Approach to the Single Hoist Cyclic Scheduling Problem
Adnen El Amraoui, Mohamed Benrejeb
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18767-18773
Open Access
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