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 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

Showing 7 citing articles:

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 51

Nature-Inspired Intelligent Computing: A Comprehensive Survey
Licheng Jiao, Jiaxuan Zhao, Chao Wang, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 3

FL-OTCSEnc: Towards secure federated learning with deep compressed sensing
Leming Wu, Yaochu Jin, Yuping Yan, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111534-111534
Closed Access | Times Cited: 2

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

Privacy-Enhanced Multitasking Particle Swarm Optimization based on Homomorphic Encryption
Hao Li, Fanggao Wan, Maoguo Gong, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 5, pp. 1336-1350
Closed Access | Times Cited: 6

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

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