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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:

An efficient federated transfer learning framework for collaborative monitoring of wind turbines in IoE-enabled wind farms
Lijin Wang, Weipeng Fan, Guoqian Jiang, et al.
Energy (2023) Vol. 284, pp. 128518-128518
Closed Access | Times Cited: 17

Showing 17 citing articles:

Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
Layout optimization of the “Pipe+Ship” transmission network for the decentralized offshore wind power-hydrogen production
Cheng Hong, Yuxi Wang, Segen F. Estefen, et al.
International Journal of Hydrogen Energy (2024) Vol. 59, pp. 991-1003
Closed Access | Times Cited: 6
A novel stochastic process diffusion model for wind turbines condition monitoring and fault identification with multi-parameter information fusion
Qingtao Yao, Hankun Bing, Guopeng Zhu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 214, pp. 111397-111397
Closed Access | Times Cited: 6
A Federated Learning Framework for Cloud–Edge Collaborative Fault Diagnosis of Wind Turbines
Guoqian Jiang, Kai Zhao, Xiufeng Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23170-23185
Closed Access | Times Cited: 6
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup, Stefan Jonas, Angela Meyer
Energy and AI (2024) Vol. 17, pp. 100375-100375
Open Access | Times Cited: 6
Research overview and prospect in condition monitoring of compressors
Anil Kumar
Expert Systems with Applications (2025), pp. 127284-127284
Closed Access
A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
Yugui Tang, Shujing Zhang, Zhen Zhang
Energy (2023) Vol. 286, pp. 129639-129639
Closed Access | Times Cited: 13
Challenges on prognostics and health management for wind turbine components
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Journal of Physics Conference Series (2024) Vol. 2745, Iss. 1, pp. 012003-012003
Open Access | Times Cited: 4
A federated transfer learning approach for surface electromyographic hand gesture recognition with emphasis on privacy preservation
Zhen Zhang, Yuewei Ming, Yanyu Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108952-108952
Closed Access | Times Cited: 4
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder
Hao Chen, Xianbo Wang, Zhi-Xin Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124256-124256
Closed Access | Times Cited: 3
MVGNet: Multiview Graph Network With Interactive Shared Fusion for Fault Diagnosis of Wind Turbines
Lijin Wang, Guoqian Jiang, Jing Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 21, pp. 26804-26819
Closed Access | Times Cited: 5
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Li Jia
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39913-39931
Closed Access | Times Cited: 1
A federated transfer learning approach for lithium-ion battery lifespan early prediction considering privacy preservation
Zhen Zhang, Yanyu Wang, X. D. Ruan, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114153-114153
Closed Access | Times Cited: 1
A health monitoring method based on multivariate-time series adaptive gated recurrent unit transfer learning model for coal mill system
Congzhi Huang, Jiaxuan He, Zheng Wei, et al.
Reliability Engineering & System Safety (2024), pp. 110767-110767
Closed Access
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Jia Li
(2024)
Closed Access
Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins
Florian Stadtmann, Adil Rasheed
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 5, pp. 052031-052031
Open Access
Dual-module Multi-head Spatiotemporal Joint Network with SACGA for Wind Turbines Fault Detection
Tian Wang, Linfei Yin
Energy (2024) Vol. 308, pp. 132906-132906
Closed Access
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