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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:

Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time
Rui Li, Wenyin Gong, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 74, pp. 101139-101139
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement
Candice Destouet, Houda Tlahig, Belgacem Bettayeb, et al.
Journal of Manufacturing Systems (2023) Vol. 67, pp. 155-173
Open Access | Times Cited: 105
Surprisingly Popular-Based Adaptive Memetic Algorithm for Energy-Efficient Distributed Flexible Job Shop Scheduling
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Cybernetics (2023) Vol. 53, Iss. 12, pp. 8013-8023
Closed Access | Times Cited: 57
Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 1, pp. 201-211
Closed Access | Times Cited: 47
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
Zi-Qi Zhang, Fang-Chun Wu, Bin Qian, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121050-121050
Closed Access | Times Cited: 43
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
Hui Yu, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 80, pp. 101335-101335
Closed Access | Times Cited: 42
A Learning-Driven Multi-Objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110484-110484
Closed Access | Times Cited: 25
Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV
Fayong Zhang, Rui Li, Wenyin Gong
Computers & Industrial Engineering (2024) Vol. 189, pp. 109917-109917
Closed Access | Times Cited: 24
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101467-101467
Closed Access | Times Cited: 20
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Cong Luo, Wenyin Gong, Fei Ming, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101497-101497
Closed Access | Times Cited: 19
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem
Fei Yu, Chao Lu, Jiajun Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107458-107458
Closed Access | Times Cited: 39
Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions
Xiaolong Chen, Junqing Li, Ying Xu
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101414-101414
Closed Access | Times Cited: 28
Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation
Yaping Fu, Kaizhou Gao, Ling Wang, et al.
International Journal of Production Research (2024), pp. 1-18
Closed Access | Times Cited: 14
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources
Rensheng Chen, Bin Wu, Hua Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101658-101658
Closed Access | Times Cited: 12
A Self-Learning Discrete Artificial Bee Colony Algorithm for Energy-Efficient Distributed Heterogeneous L-R Fuzzy Welding Shop Scheduling Problem
Fei Yu, Lvjiang Yin, Bing Zeng, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 6, pp. 3753-3764
Closed Access | Times Cited: 10
A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0
Xiao Chang, Xiaoliang Jia, Jiahao Ren
International Journal of Production Research (2024), pp. 1-29
Closed Access | Times Cited: 10
Joint optimization of flexible job shop scheduling and preventive maintenance under high-frequency production switching
Yu Wang, Tangbin Xia, Yuhui Xu, et al.
International Journal of Production Economics (2024) Vol. 269, pp. 109163-109163
Closed Access | Times Cited: 9
Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling
Rui Li, Ling Wang, Wenyin Gong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108775-108775
Closed Access | Times Cited: 9
A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones
Cun-Hai Wang, Quan-Ke Pan, Xiaoping Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101565-101565
Closed Access | Times Cited: 8
Two-Stage Adaptive Memetic Algorithm with Surprisingly Popular Mechanism for Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time
Feng Chen, Cong Luo, Wenyin Gong, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 1, pp. 82-108
Open Access | Times Cited: 8
Solving multi-objective energy-saving flexible job shop scheduling problem by hybrid search genetic algorithm
L. Hao, Zhiyuan Zou, Xu Liang
Computers & Industrial Engineering (2025), pp. 110829-110829
Closed Access | Times Cited: 1
A Review on Intelligent Scheduling and Optimization for Flexible Job Shop
Bin Jiang, Yajie Ma, Lijun Chen, et al.
International Journal of Control Automation and Systems (2023) Vol. 21, Iss. 10, pp. 3127-3150
Closed Access | Times Cited: 19
Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 6550-6562
Closed Access | Times Cited: 18
Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling
Shijie Cao, Rui Li, Wenyin Gong, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101419-101419
Closed Access | Times Cited: 18
Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey
Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, et al.
Frontiers in Industrial Engineering (2024) Vol. 2
Open Access | Times Cited: 6
A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem
Zi-Qi Zhang, Ying Li, Bin Qian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108841-108841
Closed Access | Times Cited: 6
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