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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:

Fault Diagnosis of Wind Turbine Planetary Gear Based on a Digital Twin
Yi Wang, Wenlei Sun, Liqiang Liu, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4776-4776
Open Access | Times Cited: 20

Showing 20 citing articles:

Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research
Han Peng, Songyin Li, Linjian Shangguan, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8333-8333
Open Access | Times Cited: 26
Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review
Gang Yu, Xianming Ye, Xiaohua Xia, et al.
Sustainable Cities and Society (2024) Vol. 108, pp. 105479-105479
Closed Access | Times Cited: 8
Innovative Horizons for Sustainable Smart Energy: Exploring the Synergy of 5G and Digital Twin Technologies
Mirjana Maksimović, Srđan Jokić, Marko Bošković
Process Integration and Optimization for Sustainability (2025)
Closed Access
Lightweight mechanical equipment fault diagnosis framework based on GCGAN-MDSCNN-ICA model
Longyi Liu, Yanqing Zhao, Yi Hu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Research on Wind Turbine Main Shaft Bearing Fault Diagnosis Method Based on Unity 3D and Transfer Learning
Shuai Wang, Wenlei Sun, Han Liu, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2003-2003
Open Access
Atom Search Optimization: a comprehensive review of its variants, applications, and future directions
M.A. El‐Shorbagy, Anas Bouaouda, Laith Abualigah, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2722-e2722
Open Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Adel Afia, Fawzi Gougam, Walid Touzout, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 10
Closed Access | Times Cited: 13
Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects
Hanlin Guan, Yan Ren, Hesheng Tang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 082001-082001
Closed Access | Times Cited: 4
Research on Key Technology of Wind Turbine Drive Train Fault Diagnosis System Based on Digital Twin
Han Liu, Wenlei Sun, Shenghui Bao, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 5991-5991
Open Access | Times Cited: 2
Digital Twin-Based Approach for a Multi-Objective Optimal Design of Wind Turbine Gearboxes
Carlos Llopis‐Albert, Francisco Rubio, Carlos Devece, et al.
Mathematics (2024) Vol. 12, Iss. 9, pp. 1383-1383
Open Access | Times Cited: 2
A Review of Digital Twinning for Rotating Machinery
Vamsi Inturi, Bidisha Ghosh, G. R. Sabareesh, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 5002-5002
Open Access | Times Cited: 2
Interpretable Motor Sound Classification for Enhanced Fault Detection Leveraging Explainable AI
Shaiq Ahmad Khan, Faiq Ahmad Khan, Akhtar Jamıl, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 1
A Novel Method for Multistage Degradation Predicting the Remaining Useful Life of Wind Turbine Generator Bearings Based on Domain Adaptation
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12332-12332
Open Access | Times Cited: 3
Feature Extraction of a Planetary Gearbox Based on the KPCA Dual-Kernel Function Optimized by the Swarm Intelligent Fusion Algorithm
He Yan, Linzheng Ye, Yao Liu
Machines (2024) Vol. 12, Iss. 1, pp. 82-82
Open Access
Intelligent Framework Design for Quality Control in Industry 4.0
Yousaf Ali, Syed Waqar Shah, Arsalan Arif, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7726-7726
Open Access
Digital Twins for Improving Proactive Maintenance Management
Attia Hussien Gomaa
Engineering Science (2024) Vol. 9, Iss. 3, pp. 60-70
Open Access
An intelligent maintenance arrangement for wind turbines based on digital twin
Hua‐Liang Wei, Guoliang Wang, Zhaohua Liu
Academia Engineering (2024) Vol. 3, Iss. 4
Open Access
A Hybrid Empirical Mode Decomposition (EMD)-Support Vector Machine (SVM) for Multi-Fault Recognition in a Wind Turbine Gearbox
Samuel M. Gbashi, Obafemi O. Olatunji, Paul A. Adedeji, et al.
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2023), pp. 1-7
Closed Access | Times Cited: 1
Digital Twin of Wind Generator to Simulate Different Turbine Characteristics Using IoT
Hadi Ashraf Raja, Karolina Kudelina, Viktor Rjabtšikov, et al.
Lecture notes in networks and systems (2023), pp. 123-132
Closed Access
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