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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:

Condition Monitoring and Fault Detection of Wind Turbine Driveline With the Implementation of Deep Residual Long Short-Term Memory Network
Yuwei He, Jiayang Liu, Shijing Wu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13360-13376
Closed Access | Times Cited: 12

Showing 12 citing articles:

A review of SCADA-based condition monitoring for wind turbines via artificial neural networks
Li Sheng, Chunyu Li, Ming Gao, et al.
Neurocomputing (2025), pp. 129830-129830
Closed Access
Spatio-Temporal Propagation: An Extended Message Passing Graph Neural Network for Remaining Useful Life Prediction
Ziqian Kong, Xiaohang Jin, Feng Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 20, pp. 32468-32479
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
An implementation of personalized therapy in Clinical Decision Support System using adaptive transformer and hybrid deep learning network
S. Praveena Rachel Kamala, T. Saraswathi, V. Kaliraj, et al.
Australian Journal of Electrical & Electronics Engineering (2024), pp. 1-16
Closed Access | Times Cited: 1
Tool Wear Classification in Chipboard Milling Processes Using 1-D CNN and LSTM Based on Sequential Features
Jarosław Kurek, Elżbieta Świderska, Karol Szymanowski
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4730-4730
Open Access | Times Cited: 1
Enhancing Wind Turbine Reliability through Proactive High Speed Bearing Prognosis Based on Adaptive Threshold and Gated Recurrent Unit Networks
Harsh S. Dhiman, Dev Bhanushali, Chun‐Lien Su, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2023), pp. 1-6
Closed Access | Times Cited: 2
Exploring the Vibrational Characteristics of Wind Turbine Drivelines
Walid Mohamedi
Research Square (Research Square) (2024)
Open Access
Measuring Mean Frequency, Power, and Bandwidth: Key Parameters in Signal Analysis
Walid Mohamedi
Research Square (Research Square) (2024)
Open Access
Back-propagation-based multivariate state estimation technique: A lightweight adaptive condition monitoring approach for wind turbine
Dongsheng Yang, Huanying Han, Hamid Reza Karimi, et al.
Neurocomputing (2024), pp. 128693-128693
Closed Access
Handling data heterogeneity for wind turbine fault diagnosis via dynamic ensemble multilevel interactive learning
Shuangxin Wang, Hongrui Li, Jiading Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109716-109716
Closed Access
Multi Modal Data Fusion using Fusion Convolution Network for High Voltage Insulator Condition Monitoring in Power Grid
Jiyong Liu
(2024), pp. 1-6
Closed Access
Real-time fault detection for IIoT facilities using GA-Att-LSTM based on edge-cloud collaboration
Jiuling Dong, Zehui Li, Yuanshuo Zheng, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access
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