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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 federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization
Jinjin Xu, Yaochu Jin, Wenli Du
Complex & Intelligent Systems (2021) Vol. 7, Iss. 6, pp. 3093-3109
Open Access | Times Cited: 23

Showing 23 citing articles:

Recent Advances in Bayesian Optimization
Xilu Wang, Yaochu Jin, Sebastian Schmitt, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-36
Open Access | Times Cited: 141
Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems
Weiwei Cai, Ming Gao, Yizhang Jiang, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 4, pp. 1559-1567
Closed Access | Times Cited: 61
A Survey on Soft Computing Techniques for Federated Learning- Applications, Challenges and Future Directions
Y. Supriya, Thippa Reddy Gadekallu
Journal of Data and Information Quality (2023) Vol. 15, Iss. 2, pp. 1-28
Closed Access | Times Cited: 26
A surrogate archive assisted multi-objective evolutionary algorithm under limited computational budget
Le Wang, Qinqin Fan, Xuefeng Yan
Soft Computing (2025)
Closed Access
A case study on order picking schedule deviations and their contributing factors
A. M. Leroy, An Caris, Benoît Depaire, et al.
Computers & Industrial Engineering (2025), pp. 111019-111019
Closed Access
A federated data-driven evolutionary algorithm
Jinjin Xu, Yaochu Jin, Wenli Du, et al.
Knowledge-Based Systems (2021) Vol. 233, pp. 107532-107532
Open Access | Times Cited: 31
Edge–Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems
Xiao-Qi Guo, Wei‐Neng Chen, Feng-Feng Wei, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 10, pp. 6598-6611
Closed Access | Times Cited: 21
Self-adaptive opposition-based differential evolution with subpopulation strategy for numerical and engineering optimization problems
Jiahang Li, Yuelin Gao, Hang Zhang, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2051-2089
Open Access | Times Cited: 15
Grid Classification-Based Surrogate-Assisted Particle Swarm Optimization for Expensive Multiobjective Optimization
Qi-Te Yang, Zhi‐Hui Zhan, Xiao-Fang Liu, et al.
IEEE Transactions on Evolutionary Computation (2023), pp. 1-1
Open Access | Times Cited: 8
Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19
Xin Chen, Hong-Fang Yan, Yu‐Jun Zheng, et al.
Swarm and Evolutionary Computation (2022) Vol. 76, pp. 101208-101208
Open Access | Times Cited: 12
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm
Qiqi Liu, Yuping Yan, Péter Ligeti, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 191-205
Open Access | Times Cited: 7
Federated Many-Task Bayesian Optimization
Hangyu Zhu, Xilu Wang, Yaochu Jin
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 980-993
Closed Access | Times Cited: 6
An Efficient Federated Genetic Programming Framework for Symbolic Regression
Junlan Dong, Jinghui Zhong, Wei‐Neng Chen, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 3, pp. 858-871
Closed Access | Times Cited: 8
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem
Lanlan Zheng, Xin Liu, Feng Wu, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101251-101251
Closed Access | Times Cited: 4
Towards fairness-aware multi-objective optimization
Guo Yu, Lianbo Ma, Xilu Wang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Empirical study on meta-feature characterization for multi-objective optimization problems
Xianghua Chu, Jiayun Wang, Shuxiang Li, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 19, pp. 16255-16273
Closed Access | Times Cited: 7
Privacy-preserving federated Bayesian optimization with learnable noise
Qiqi Liu, Yuping Yan, Yaochu Jin
Information Sciences (2023) Vol. 653, pp. 119739-119739
Closed Access | Times Cited: 2
A double decomposition based coevolutionary algorithm for distributed multi-objective OPF solution
Cong Zeng, Ziyu Chen, Jizhong Zhu
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109584-109584
Open Access | Times Cited: 2
Secure Federated Evolutionary Optimization—A Survey
Qiqi Liu, Yuping Yan, Yaochu Jin, et al.
Engineering (2023) Vol. 34, pp. 23-42
Open Access | Times Cited: 2
Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing
Yong-Feng Ge, Hua Wang, Jinli Cao, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 749-758
Closed Access
A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering
Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-7
Closed Access
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs
Shiqing Liu, Ulrich Rückert, Yaochu Jin
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Understanding Variability in the Order Picking Process: Underlying Factors and Operational Implications
A Leroy, An Caris, Benoît Depaire, et al.
(2024)
Closed Access
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