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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:

A New Hybrid Fault Detection Method for Wind Turbine Blades Using Recursive PCA and Wavelet-Based PDF
Milad Rezamand, Mojtaba Kordestani, Rupp Carriveau, et al.
IEEE Sensors Journal (2019) Vol. 20, Iss. 4, pp. 2023-2033
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine
Mingliang Cui, Youqing Wang, Xinshuang Lin, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 4, pp. 4927-4937
Closed Access | Times Cited: 155
A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
Hamed Badihi, Youmin Zhang, Bin Jiang, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 6, pp. 754-806
Open Access | Times Cited: 134
Critical Wind Turbine Components Prognostics: A Comprehensive Review
Milad Rezamand, Mojtaba Kordestani, Rupp Carriveau, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 12, pp. 9306-9328
Closed Access | Times Cited: 130
Wavelet Packet Decomposition-Based Multiscale CNN for Fault Diagnosis of Wind Turbine Gearbox
Dajian Huang, Wen‐An Zhang, Fanghong Guo, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 1, pp. 443-453
Closed Access | Times Cited: 86
Artificial Intelligence and Machine Learning in Grid Connected Wind Turbine Control Systems: A Comprehensive Review
Nathan Oaks Farrar, Mohd. Hasan Ali, Dipankar Dasgupta
Energies (2023) Vol. 16, Iss. 3, pp. 1530-1530
Open Access | Times Cited: 27
Investigating power loss in a wind turbine using real-time vibration signature
Vishwaas Narasinh, Prateek Mital, Nilanjan Chakravortty, et al.
Engineering Failure Analysis (2024) Vol. 159, pp. 108010-108010
Closed Access | Times Cited: 10
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
An Integrated Feature-Based Failure Prognosis Method for Wind Turbine Bearings
Milad Rezamand, Mojtaba Kordestani, Rupp Carriveau, et al.
IEEE/ASME Transactions on Mechatronics (2020) Vol. 25, Iss. 3, pp. 1468-1478
Closed Access | Times Cited: 65
Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions
Milad Rezamand, Mojtaba Kordestani, Marcos E. Orchard, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 3, pp. 1742-1752
Closed Access | Times Cited: 52
Comparison of New Anomaly Detection Technique for Wind Turbine Condition Monitoring Using Gearbox SCADA Data
Conor McKinnon, James Carroll, Alasdair McDonald, et al.
Energies (2020) Vol. 13, Iss. 19, pp. 5152-5152
Open Access | Times Cited: 51
A Comprehensive Review of Artificial Intelligence and Wind Energy
Fausto Pedro Garcı́a Márquez, Alfredo Peinado Gonzalo
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 5, pp. 2935-2958
Closed Access | Times Cited: 51
A Fast Anomaly Diagnosis Approach Based on Modified CNN and Multisensor Data Fusion
Wenfeng Gong, Yuanzhe Wang, Meiling Zhang, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 12, pp. 13636-13646
Closed Access | Times Cited: 48
Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review
Arturo Yosimar Jaen-Cuéllar, David A. Elvira-Ortiz, Roque A. Osornio‐Rios, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5404-5404
Open Access | Times Cited: 32
A Bayesian approach for fatigue damage diagnosis and prognosis of wind turbine blades
Francisco Jaramillo, José Martín Gutiérrez, Marcos E. Orchard, et al.
Mechanical Systems and Signal Processing (2022) Vol. 174, pp. 109067-109067
Closed Access | Times Cited: 31
Fault diagnosis in wind turbines based on ANFIS and Takagi–Sugeno interval observers
Esvan-Jesús Pérez-Pérez, Francisco‐Ronay López‐Estrada, Vicenç Puig, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117698-117698
Closed Access | Times Cited: 31
An Infrared Image Stitching Method for Wind Turbine Blade Using UAV Flight Data and U-Net
Junfeng Yu, Yunze He, Fan Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8727-8736
Closed Access | Times Cited: 17
An Improved Set-Valued Observer and Probability Density Function-Based Self-Organizing Neural Networks for Early Fault Diagnosis in Wind Energy Conversion Systems
Ruinan Zhao
Symmetry (2025) Vol. 17, Iss. 3, pp. 448-448
Open Access
A New Hybrid Fault Prognosis Method for MFS Systems Based on Distributed Neural Networks and Recursive Bayesian Algorithm
Mojtaba Kordestani, M. Foad Samadi, Mehrdad Saif
IEEE Systems Journal (2020) Vol. 14, Iss. 4, pp. 5407-5416
Closed Access | Times Cited: 40
Discriminative Dictionary Learning-Based Sparse Classification Framework for Data-Driven Machinery Fault Diagnosis
Yun Kong, Tianyang Wang, Fulei Chu, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 6, pp. 8117-8129
Closed Access | Times Cited: 39
Effect of the Digital Transformation of Power System on Renewable Energy Utilization in China
Yunhao Zhao, Shiwei Xia, Jian Zhang, et al.
IEEE Access (2021) Vol. 9, pp. 96201-96209
Open Access | Times Cited: 38
A Two-Stage Deep Autoencoder-Based Missing Data Imputation Method for Wind Farm SCADA Data
Xin Liu, Zijun Zhang
IEEE Sensors Journal (2021) Vol. 21, Iss. 9, pp. 10933-10945
Closed Access | Times Cited: 37
SCADA Data Analysis Methods for Diagnosis of Electrical Faults to Wind Turbine Generators
Francesco Castellani, Davide Astolfi, Francesco Natili
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3307-3307
Open Access | Times Cited: 36
Detecting Wind Turbine Blade Icing with a Multiscale Long Short-Term Memory Network
Xiao Wang, Zheng Zheng, Guoqian Jiang, et al.
Energies (2022) Vol. 15, Iss. 8, pp. 2864-2864
Open Access | Times Cited: 22
On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection
Mohammad Hesam Soleimani‐Babakamali, Roksana Soleimani-Babakamali, Rodrigo Sarlo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109910-109910
Open Access | Times Cited: 20
New Condition-Based Monitoring and Fusion Approaches With a Bounded Uncertainty for Bearing Lifetime Prediction
Mojtaba Kordestani, Milad Rezamand, Marcos E. Orchard, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 9078-9086
Closed Access | Times Cited: 18
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