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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:

Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 10, pp. 10515-10528
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 651-665
Open Access | Times Cited: 161
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization
Ke Chen, Bing Xue, Mengjie Zhang, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 3, pp. 446-460
Closed Access | Times Cited: 106
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More
Abhishek Gupta, Lei Zhou, Yew-Soon Ong, et al.
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 2, pp. 49-66
Open Access | Times Cited: 68
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 147-167
Closed Access | Times Cited: 57
Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning
Kun Lei, Peng Guo, Yi Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 1007-1018
Closed Access | Times Cited: 47
Evolutionary Many-Task Optimization Based on Multisource Knowledge Transfer
Zhengping Liang, Xiuju Xu, Линг Лиу, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 2, pp. 319-333
Closed Access | Times Cited: 69
A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm
Qiang Luo, Qianwang Deng, Guiliang Gong, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 117984-117984
Closed Access | Times Cited: 47
Distributed Real-Time Scheduling in Cloud Manufacturing by Deep Reinforcement Learning
Lixiang Zhang, Chen Yang, Yan Yan, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8999-9007
Closed Access | Times Cited: 45
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 7, pp. 4473-4486
Closed Access | Times Cited: 42
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing
Meng Xu, Yi Mei, Shiqiang Zhu, et al.
IEEE Transactions on Services Computing (2023) Vol. 16, Iss. 4, pp. 2657-2671
Closed Access | Times Cited: 24
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison
Meng Xu, Yi Mei, Fangfang Zhang, et al.
IEEE Computational Intelligence Magazine (2024) Vol. 19, Iss. 2, pp. 18-33
Closed Access | Times Cited: 12
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1705-1719
Closed Access | Times Cited: 27
Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling
Meng Xu, Yi Mei, Fangfang Zhang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 5, pp. 1235-1249
Closed Access | Times Cited: 20
FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation
Xingyu Li, Zhe Qu, Bo Tang, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 1, pp. 401-414
Closed Access | Times Cited: 18
Evolutionary Multitask Optimization in Real-World Applications: A Survey
Yue Wu, Hangqi Ding, Benhua Xiang, et al.
Journal of Artificial Intelligence and Technology (2023)
Open Access | Times Cited: 17
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity
Francisco J. Gil-Gala, María R. Sierra, Carlos Mencía, et al.
Swarm and Evolutionary Computation (2021) Vol. 66, pp. 100944-100944
Closed Access | Times Cited: 39
A two-stage reinforcement learning-based approach for multi-entity task allocation
Aicheng Gong, Kai Yang, Jiafei Lyu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108906-108906
Open Access | Times Cited: 4
Multitask genetic programming for automated design of heuristics for the container relocation problem
Marko Đurasević, Mateja Đumić, Francisco J. Gil-Gala
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110001-110001
Closed Access
Multi-objective flexible job shop scheduling based on feature information optimization algorithm
Zeyin Guo, Lixin Wei, Jinlu Zhang, et al.
Computers & Operations Research (2025), pp. 107027-107027
Closed Access
Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning
Meng Xu, Yi Mei, Fangfang Zhang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1192-1206
Closed Access | Times Cited: 20
Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment
Marko Đurasević, Francisco J. Gil-Gala, Lucija Planinić, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106096-106096
Closed Access | Times Cited: 12
A framework of cloud-edge collaborated digital twin for flexible job shop scheduling with conflict-free routing
Qianfa Gao, Фу Гу, LI Lin-li, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102672-102672
Closed Access | Times Cited: 12
Automated design of heuristics for the container relocation problem using genetic programming
Marko Đurasević, Mateja Đumić
Applied Soft Computing (2022) Vol. 130, pp. 109696-109696
Closed Access | Times Cited: 18
Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics
Marko Đurasević, Domagoj Jakobović
Journal of Computational Science (2022) Vol. 61, pp. 101649-101649
Closed Access | Times Cited: 17
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