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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:

A knowledge-driven cooperative scatter search algorithm with reinforcement learning for the distributed blocking flow shop scheduling problem
Fuqing Zhao, Gang Zhou, Tianpeng Xu, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120571-120571
Closed Access | Times Cited: 16

Showing 16 citing articles:

Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints
Fei Yu, Chao Lu, Jiajun Zhou, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122434-122434
Closed Access | Times Cited: 39
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: 31
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line
Yaxian Ren, Kaizhou Gao, Yaping Fu, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111415-111415
Closed Access | Times Cited: 10
A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenarios
Yizheng Wang, Yuting Wang, Yuyan Han, et al.
Computers & Industrial Engineering (2025), pp. 110949-110949
Closed Access
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems
Yushuang Hou, Hongfeng Wang, Xiaoliang Huang
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107434-107434
Closed Access | Times Cited: 13
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions
Zhongjie Lin, Kaizhou Gao, Naiqi Wu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 15053-15064
Closed Access | Times Cited: 4
Accelerated evaluation of blocking flowshop scheduling with total flow time criteria using a generalized critical machine-based approach
Yuyan Han, Yuting Wang, Quan-Ke Pan, et al.
European Journal of Operational Research (2024) Vol. 318, Iss. 2, pp. 424-441
Closed Access | Times Cited: 3
A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem
Yunbao Xu, Xiangqian Jiang, Jun Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101625-101625
Open Access | Times Cited: 3
A heuristic rule adaptive selection approach for multi-work package project scheduling problem
Yaning Zhang, Xiao Li, Yue Teng, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122092-122092
Closed Access | Times Cited: 8
A hybrid scatter search method for solving fuzzy no-wait flow-shop scheduling problems
Ramazan Başar, Orhan Engin
Engineering Optimization (2024), pp. 1-34
Closed Access | Times Cited: 1
A joint work package sizing and scheduling problem considering resource constraints with a look-ahead heterogeneous reinforcement learning method
Nianmin Zhang, Xiaolu Li, Gao Yao
International Journal of Production Research (2024), pp. 1-38
Closed Access | Times Cited: 1
A simple migrating birds optimization algorithm with two search modes to solve the no-wait job shop problem
Guanlong Deng, Ming Wei, Shuning Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122112-122112
Closed Access | Times Cited: 4
Deep reinforcement learning assisted memetic scheduling of drones for railway catenary deicing
Yu‐Jun Zheng, Xi-Cheng Xie, Zhiyuan Zhang, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101719-101719
Closed Access
A reinforcement learning-driven cooperative scatter search for the knapsack problem with forfeits
Juntao Zhao, Mhand Hifi
Computers & Industrial Engineering (2024) Vol. 198, pp. 110713-110713
Closed Access
Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints
Xueyan Sun, Weiming Shen, Jiaxin Fan, et al.
Engineering (2024)
Open Access
A Simple Migrating Birds Optimization Algorithm with Two Search Modes to Solve the No-Wait Job Shop Problem
Guanlong Deng, Shuning Zhang, Mingming Xu, et al.
(2023)
Closed Access
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