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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:

Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem
Guanghui Zhang, Bo Liu, Ling Wang, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 5, pp. 1043-1057
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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: 69
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: 54
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: 40
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 multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem
Wenqiang Zhang, Chen Li, Mitsuo Gen, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121570-121570
Closed Access | Times Cited: 37
A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking
Feige Liu, Guiling Li, Chao Lu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121667-121667
Closed Access | Times Cited: 26
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: 10
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times
Zhiyuan Wang, Quan-Ke Pan, Liang Gao, et al.
Swarm and Evolutionary Computation (2023) Vol. 79, pp. 101320-101320
Open Access | Times Cited: 18
A Bi-Learning Evolutionary Algorithm for Transportation-Constrained and Distributed Energy-Efficient Flexible Scheduling
Zixiao Pan, Ling Wang, Jingjing Wang, et al.
IEEE Transactions on Evolutionary Computation (2024) Vol. 29, Iss. 1, pp. 232-246
Closed Access | Times Cited: 5
An effective cooperative coevolutionary algorithm with global and local-oriented cooperative mechanisms for multi-objective hybrid flowshop lot-streaming scheduling with limited and flexible sub-lots
Yingying Zhu, Qiuhua Tang, Zikai Zhang, et al.
Swarm and Evolutionary Computation (2025) Vol. 93, pp. 101815-101815
Closed Access
Ship pipe production optimization method for solving distributed heterogeneous energy-efficient flexible flowshop scheduling with mobile resource limitation
Hua Xuan, Xiaofan Zhang, Yixuan Wu, et al.
Expert Systems with Applications (2025), pp. 126603-126603
Closed Access
A rule fitting and Filtering-based heuristic approach for the Multi-Stage assembly scheduling problem with multiple constraints
Zhangsheng Su, Chao Deng, Raymond Chiong, et al.
Computers & Industrial Engineering (2025), pp. 110950-110950
Open Access
A Deep Reinforcement Learning-Based Evolutionary Algorithm for Distributed Heterogeneous Green Hybrid Flowshop Scheduling
Hua Xu, Lan Huang, Juntai Tao, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 728-728
Open Access
Minimizing tardiness and makespan for distributed heterogeneous unrelated parallel machine scheduling by knowledge and Pareto-based memetic algorithm
Hua Wang, Rui Li, Wenyin Gong
Egyptian Informatics Journal (2023) Vol. 24, Iss. 3, pp. 100383-100383
Open Access | Times Cited: 15
A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery
Libao Deng, Yuanzhu Di, Ling Wang
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 2, pp. 1024-1036
Closed Access | Times Cited: 12
Scheduling Model for Prefabricated Component Assembly, Production, and Transportation Stage Based on GA for Prefabricated Buildings
Zhipeng Huo, Xiaoqiang Wu, Tao Cheng
IEEE Access (2024) Vol. 12, pp. 60826-60838
Open Access | Times Cited: 3
A collaborative-learning multi-agent reinforcement learning method for distributed hybrid flow shop scheduling problem
Yuanzhu Di, Libao Deng, Lili Zhang
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101764-101764
Closed Access | Times Cited: 3
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints
Ronghao Li, Junqing Li, Jinhua Li, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101409-101409
Closed Access | Times Cited: 9
Double-Layer Q-Learning-Based Joint Decision-Making of Dual Resource-Constrained Aircraft Assembly Scheduling and Flexible Preventive Maintenance
Qi Yan, Hongfeng Wang
IEEE Transactions on Aerospace and Electronic Systems (2022) Vol. 58, Iss. 6, pp. 4938-4952
Closed Access | Times Cited: 15
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control
Libao Deng, Yixuan Qiu, Wenyin Gong, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125002-125002
Closed Access | Times Cited: 2
A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery
Zikai Zhang, Qiuhua Tang, Liping Zhang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125690-125690
Closed Access | Times Cited: 2
A self-learning knowledge-based MOEA/D for distributed heterogeneous assembly permutation flowshop scheduling with batch delivery
Zikai Zhang, Qiuhua Tang, Ling Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111295-111295
Closed Access | Times Cited: 7
An improved co-evolutionary memetic algorithm based on novel schedule type and unconditional feasibility for hybrid flow-shop scheduling problem
Teng Yue, Xinyu Li, Liang Gao, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110324-110324
Closed Access | Times Cited: 2
Memetic discrete differential evolution with domain knowledge for blocking scheduling distributed flow shop with lot-streaming constraints
Siyi Wang, Yanxiang Feng, Xiaoling Li, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124874-124874
Closed Access | Times Cited: 2
Integrated optimization of production and maintenance scheduling with third-party worker resource constraints in distributed parallel machines environment
Like Zhang, Hua Wang, Wenpu Liu, et al.
Computers & Industrial Engineering (2024) Vol. 198, pp. 110647-110647
Closed Access | Times Cited: 2
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