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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 Methods Based on Machine Learning and its Applications for Wind Turbines: A Review
Tongda Sun, Gang Yu, Mang Gao, et al.
IEEE Access (2021) Vol. 9, pp. 147481-147511
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

A Bearing Fault Diagnosis Method Based on Wavelet Denoising and Machine Learning
Shaokun Fu, Yize Wu, Rundong Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 5936-5936
Open Access | Times Cited: 21
Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning
Nicola Tamascelli, Alessandro Campari, Tarannom Parhizkar, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 90, pp. 105343-105343
Open Access | Times Cited: 12
Wind turbine fault detection based on the transformer model using SCADA data
Jorge Maldonado-Correa, Joel Torres-Cabrera, Sergio Martín‐Martínez, et al.
Engineering Failure Analysis (2024) Vol. 162, pp. 108354-108354
Open Access | Times Cited: 10
K-nearest neighbour and K-fold cross-validation used in wind turbines for false alarm detection
Ana María Peco Chacón, Isaac Segovia Ramírez, Fausto Pedro Garcı́a Márquez
Sustainable Futures (2023) Vol. 6, pp. 100132-100132
Open Access | Times Cited: 17
AI‐Enabled Metal‐Polymer Plain Bearing Based on the Triboelectric Principle
Mang Gao, Tongda Sun, Yahui Li, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 48
Open Access | Times Cited: 16
Machine Learning Methods for Fault Diagnosis in AC Microgrids: A Systematic Review
Muiz M. Zaben, Muhammed Y. Worku, Mohamed A. Hassan, et al.
IEEE Access (2024) Vol. 12, pp. 20260-20298
Open Access | Times Cited: 6
Wind turbine fault detection and identification using a two-tier machine learning framework
Zaid Allal, Hassan Noura, Flavien Vernier, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200372-200372
Open Access | Times Cited: 6
Fault diagnosis of a CNC Hobbing Cutter through Machine Learning using three axis vibration data
Nagesh Tambake, Bhagyesh Deshmukh, Sujit S. Pardeshi, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41637-e41637
Open Access
Intelligent fault diagnosis technique for rotating machinery based on parameter-optimised variational mode decomposition and improved bidirectional gated recurrent unit
Yi Du, Weibin Kong, Feng Zhou, et al.
Insight - Non-Destructive Testing and Condition Monitoring (2025) Vol. 67, Iss. 2, pp. 100-110
Closed Access
Total process of fault diagnosis for wind turbine gearbox, from the perspective of combination with feature extraction and machine learning: A review
Xinhua Xu, Xinyu Huang, Haibin Bian, et al.
Energy and AI (2023) Vol. 15, pp. 100318-100318
Open Access | Times Cited: 12
Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset
Farhan Md. Siraj, Syed Tasnimul Karim Ayon, Md Abdus Samad, et al.
IEEE Access (2024) Vol. 12, pp. 50986-50997
Open Access | Times Cited: 3
Triboelectric pad journal bearing for self-powered condition monitoring
Mang Gao, Yahui Li, Junho Choi
Nano Energy (2022) Vol. 103, pp. 107851-107851
Open Access | Times Cited: 18
A Reliable Deep Learning Approach for Time-Varying Faults Identification: Spacecraft Reaction Wheel Case Study
Abd-Elsalam R. Abd-Elhay, Wael A. Murtada, Mohamed Youssef
IEEE Access (2022) Vol. 10, pp. 75495-75512
Open Access | Times Cited: 16
Using AIG in Verilog HDL, Autonomous Testing in a Family of Wien Bridge Cross Transducers
Raja Praveen K N, Gadug Sudhamsu
(2022), pp. 712-715
Closed Access | Times Cited: 14
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Khaled Dhibi, Majdi Mansouri, Mansour Hajji, et al.
Energy Reports (2023) Vol. 9, pp. 5362-5371
Open Access | Times Cited: 7
A hierarchical modeling strategy for condition monitoring and fault diagnosis of wind turbine using SCADA data
Zhenyu Wu, Yanting Li, Peng Wang
Measurement (2024) Vol. 227, pp. 114325-114325
Closed Access | Times Cited: 2
Intelligent Interconnected Healthcare System: Integrating IoT and Big Data for Personalized Patient Care
Ahmed Abatal, Mourad Mzili, Toufik Mzili, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 11, pp. 46-65
Open Access | Times Cited: 2
Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities
Dênis Leite, E. A. B. Santos, Diego Rátiva, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 60-60
Open Access | Times Cited: 2
Fault Diagnosis of Rotating Machinery Using Denoising-Integrated Sparse Autoencoder Based Health State Classification
Jing Yang, Guo Xie, Yanxi Yang
IEEE Access (2023) Vol. 11, pp. 15174-15183
Open Access | Times Cited: 6
Intelligent fault identification strategy of photovoltaic array based on ensemble self-training learning
Mohamed M. Badr, Ayman S. Abdel‐Khalik, Mostafa S. Hamad, et al.
Solar Energy (2022) Vol. 249, pp. 122-138
Closed Access | Times Cited: 10
Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting
Chun‐Yao Lee, Edu Daryl C. Maceren
IET Energy Systems Integration (2024)
Open Access | Times Cited: 1
A Hierarchical Fault Diagnosis Model for Planetary Gearbox With Shift-Invariant Dictionary and OMPAN
Ronghua Chen, Yingkui Gu, Peng Huang, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2024) Vol. 10, Iss. 3
Closed Access | Times Cited: 1
A RES-GANomaly Method for Machine Sound Anomaly Detection
Xiaowei Huang, Fabin Guo, Long Chen
IEEE Access (2024) Vol. 12, pp. 80099-80114
Open Access | Times Cited: 1
Artificial intelligence and machine learning in future energy systems (state-of-the-art, future development)
Jalal Heidary
Elsevier eBooks (2024), pp. 3-30
Closed Access | Times Cited: 1
Domain adaptation between heterogeneous time series data: A case study on real-time rotary machinery fault diagnosis
Rodrigue Tambeck Nguimfack, Mahathir Mohammad Bappy, Abdullah Al Mamun, et al.
Manufacturing Letters (2024) Vol. 41, pp. 1535-1543
Closed Access | Times Cited: 1
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