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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:

Scheduling flexible manufacturing cell with no-idle flow-lines and job-shop via Q-learning-based genetic algorithm
Lixin Cheng, Qiuhua Tang, Liping Zhang, et al.
Computers & Industrial Engineering (2022) Vol. 169, pp. 108293-108293
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Yanjie Song, Yutong Wu, Yangyang Guo, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101517-101517
Open Access | Times Cited: 32
A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV
Xiaoqing Han, Weiyao Cheng, Leilei Meng, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101538-101538
Closed Access | Times Cited: 24
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 11
A Q-learning driven multi-objective evolutionary algorithm for worker fatigue dual-resource-constrained distributed hybrid flow shop
Haonan Song, Junqing Li, Zhaosheng Du, et al.
Computers & Operations Research (2024), pp. 106919-106919
Closed Access | Times Cited: 8
Optimizing integrated lot sizing and production scheduling in flexible flow line systems with energy scheme: A two level approach based on reinforcement learning
Mohamed Habib Jabeur, S. Mahjoub, Cyril Toublanc, et al.
Computers & Industrial Engineering (2024) Vol. 190, pp. 110095-110095
Open Access | Times Cited: 6
An energy-efficient multi-objective scheduling for flexible job-shop-type remanufacturing system
Wenkang Zhang, Yufan Zheng, Rafiq Ahmad
Journal of Manufacturing Systems (2022) Vol. 66, pp. 211-232
Closed Access | Times Cited: 25
Mathematical model and adaptive simulated annealing algorithm for mixed-model assembly job-shop scheduling with lot streaming
Lixin Cheng, Qiuhua Tang, Liping Zhang
Journal of Manufacturing Systems (2023) Vol. 70, pp. 484-500
Closed Access | Times Cited: 14
An improved genetic algorithm based on reinforcement learning for aircraft assembly scheduling problem
Xiaoyu Wen, Xinyu Zhang, Hongwen Xing, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110263-110263
Closed Access | Times Cited: 5
Optimal scheduling of a cogeneration system via Q-learning-based memetic algorithm considering demand-side response
Xinfu Pang, Yibao Wang, Yang Yu, et al.
Energy (2024) Vol. 300, pp. 131513-131513
Closed Access | Times Cited: 4
A modularity-based improved small-world genetic algorithm for large-scale intercell scheduling with flexible routes
Guangshuai Ning, Qiong Liu, Mengbang Zou
Computers & Operations Research (2025), pp. 106979-106979
Closed Access
Lightweight Bi-Level Optimization Algorithm for Synchronized Scheduling of Production and Transportation in a Reconfigurable Flexible Job Shop
Lixin Cheng, Qiuhua Tang, Zi Kai Zhang, et al.
(2025)
Closed Access
Economic energy optimization in microgrid with PV/wind/battery integrated wireless electric vehicle battery charging system using improved Harris Hawk Optimization
P Y Mallikarjun, Sundar Rajan Giri Thulasiraman, Praveen Kumar Balachandran, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Q-learning-driven multi-population cooperative evolutionary algorithm with local search for scheduling of network-shared manufacturing resources
Liping Xu, Tao Zhou, Kai Li, et al.
Computers & Operations Research (2025), pp. 107076-107076
Closed Access
Learning for multiple purposes: A Q-learning enhanced hybrid metaheuristic for parallel drone scheduling traveling salesman problem
Ping Chen, Qianlong Wang
Computers & Industrial Engineering (2023) Vol. 187, pp. 109851-109851
Closed Access | Times Cited: 11
A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer
Yuting Wu, Ling Wang, Jing-fang Chen, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 11, pp. 3952-3971
Closed Access | Times Cited: 9
Energy-efficient Multi-objective Distributed Assembly Permutation Flowshop Scheduling by Q-learning based Meta-heuristics
Hui Yu, Kaizhou Gao, Zhiwu Li, et al.
Applied Soft Computing (2024), pp. 112247-112247
Closed Access | Times Cited: 3
Multi-objective production scheduling optimization and management control system of complex aerospace components: a review
Huijuan Ma, Xiang Huang, Zhili Hu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 11-12, pp. 4973-4993
Closed Access | Times Cited: 8
Scheduling in manufacturing with transportation: Classification and solution techniques
Amir Hosseini, Alena Otto, Erwin Pesch
European Journal of Operational Research (2023) Vol. 315, Iss. 3, pp. 821-843
Open Access | Times Cited: 7
Advancing multi-port container stowage efficiency: A novel DQN-LNS algorithmic solution
Yu Ling, Qianlong Wang, Lin Pan
Knowledge-Based Systems (2024) Vol. 299, pp. 112074-112074
Closed Access | Times Cited: 2
Flexible assembly job shop scheduling problem considering reconfigurable machine: a cooperative co-evolutionary matheuristic algorithm
Yifan Hu, Liping Zhang, Zikai Zhang, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112148-112148
Closed Access | Times Cited: 2
Mathematical model and augmented simulated annealing algorithm for mixed-model assembly job shop scheduling problem with batch transfer
Lixin Cheng, Qiuhua Tang, Shengli Liu, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110968-110968
Closed Access | Times Cited: 5
A new EDA algorithm combined with Q-learning for semiconductor final testing scheduling problem
Long Zhang, Lin Yi, Chuanpei Xu, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110259-110259
Closed Access | Times Cited: 1
Reliability assessment of multistate flexible manufacturing cells considering equipment failures
Xiaogang Zhang, Yulong Li, Zhongyuan Zhao, et al.
Computers & Industrial Engineering (2023) Vol. 185, pp. 109625-109625
Closed Access | Times Cited: 4
Multi-objective integrated harvest and distribution scheduling for fresh agricultural products with farm-to-door requirements using Q-learning and problem knowledge-based cooperative evolutionary algorithms
Xiaomeng Ma, Xujin Pu, Yaping Fu
Computers & Industrial Engineering (2024), pp. 110755-110755
Closed Access | Times Cited: 1
A Q-Learning-Based Artificial Bee Colony Algorithm for Distributed Three-Stage Assembly Scheduling with Factory Eligibility and Setup Times
Jing Wang, Deming Lei, Mingbo Li
Machines (2022) Vol. 10, Iss. 8, pp. 661-661
Open Access | Times Cited: 5
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