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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.

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Showing 1-25 of 26 citing articles:

Recent advances in damage detection of wind turbine blades: A state-of-the-art review
Panida Kaewniam, Maosen Cao, Nizar Faisal Alkayem, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112723-112723
Closed Access | Times Cited: 72
Applications of K-nearest neighbor algorithm in intelligent diagnosis of wind turbine blades damage
Yaochi Tang, Yun-Chi Chang, Kuohao Li
Renewable Energy (2023) Vol. 212, pp. 855-864
Closed Access | Times Cited: 43
Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades
Wenjie Wang, Yu Xue, Chengkuan He, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5672-5672
Open Access | Times Cited: 66
Condition monitoring of wind turbine blades based on self-supervised health representation learning: A conducive technique to effective and reliable utilization of wind energy
Shilin Sun, Tianyang Wang, Hongxing Yang, et al.
Applied Energy (2022) Vol. 313, pp. 118882-118882
Closed Access | Times Cited: 52
A machine learning-based fatigue loads and power prediction method for wind turbines under yaw control
Ruiyang He, Hongxing Yang, Shilin Sun, et al.
Applied Energy (2022) Vol. 326, pp. 120013-120013
Closed Access | Times Cited: 52
In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures
Shilin Sun, Tianyang Wang, Fulei Chu
Renewable and Sustainable Energy Reviews (2022) Vol. 160, pp. 112326-112326
Closed Access | Times Cited: 50
Acoustic-Signal-Based Damage Detection of Wind Turbine Blades—A Review
Shaohu Ding, Chenchen Yang, Sen Zhang
Sensors (2023) Vol. 23, Iss. 11, pp. 4987-4987
Open Access | Times Cited: 29
Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data
Shilin Sun, Wenyang Hu, Yuekai Liu, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119891-119891
Closed Access | Times Cited: 27
A multi-learner neural network approach to wind turbine fault diagnosis with imbalanced data
Shilin Sun, Tianyang Wang, Fulei Chu
Renewable Energy (2023) Vol. 208, pp. 420-430
Closed Access | Times Cited: 26
Acoustic Beamforming Algorithms and Their Applications in Environmental Noise
Gaetano Licitra, Francesco Artuso, Marco Bernardini, et al.
Current Pollution Reports (2023) Vol. 9, Iss. 3, pp. 486-509
Closed Access | Times Cited: 25
Research on crack detection method of wind turbine blade based on a deep learning method
Xiaoxun Zhu, Xinyu Hang, Xiaoxia Gao, et al.
Applied Energy (2022) Vol. 328, pp. 120241-120241
Closed Access | Times Cited: 33
Wind turbine fault detection and identification through self-attention-based mechanism embedded with a multivariable query pattern
Anqi Wang, Yan Pei, Yunyi Zhu, et al.
Renewable Energy (2023) Vol. 211, pp. 918-937
Closed Access | Times Cited: 19
A weak fault identification method of micro-turbine blade based on sound pressure signal with LSTM networks
Jingqi Zhang, Yugang Chen, Ning Li, et al.
Aerospace Science and Technology (2023) Vol. 136, pp. 108226-108226
Closed Access | Times Cited: 18
Spatiotemporal Variability in Wind Turbine Blade Leading Edge Erosion
S. C. Pryor, Jacob Coburn, R. J. Barthelmie
Energies (2025) Vol. 18, Iss. 2, pp. 425-425
Open Access
Features for Evaluating Source Localization Effectiveness in Sound Maps from Acoustic Cameras
Luca Fredianelli, Gregorio Pedrini, Matteo Bolognese, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4696-4696
Open Access | Times Cited: 3
Early warning of damaged wind turbine blades using spatial–temporal spectral analysis of acoustic emission signals
Xiang Pan, Zhongdi Liu, Rong Xu, et al.
Journal of Sound and Vibration (2022) Vol. 537, pp. 117209-117209
Closed Access | Times Cited: 15
Sand-Laden Wind Erosion Pair Experimental Analysis of Aerodynamic Performance of the Wind Turbine Blades
Daqian Wan, Songli Chen, Danlan Li, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2279-2279
Open Access | Times Cited: 2
Wind turbine blade defect detection with a semi-supervised deep learning framework
Xingyu Ye, Long Wang, Chao Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108908-108908
Closed Access | Times Cited: 2
Acoustic source identification using an off-grid and sparsity-based method for sound field reconstruction
Shilin Sun, Tianyang Wang, Fulei Chu, et al.
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108869-108869
Closed Access | Times Cited: 10
Damage identification of wind turbine blades using the microphone array under different parametric and measuring conditions: A prototype study with laboratory-scale models
Shilin Sun, Tianyang Wang, Hongxing Yang, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 1, pp. 201-215
Closed Access | Times Cited: 8
Gated Fusion Based Transformer Model for Crack Detection on Wind Turbine Blade
Wenyang Tang, Cong Liu, Bo Zhang
Energy Engineering (2023) Vol. 120, Iss. 11, pp. 2667-2681
Open Access | Times Cited: 2
The Mitigation of Mutual Coupling Effects in Multi-Beam Echosounder Calibration under Near-Field Conditions
Wanyuan Zhang, Weijia Yuan, Gongwu Sun, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 1, pp. 125-125
Open Access
A Compound Approach for Monitoring the Variation in Wind Turbine Power Performance with SCADA Data
Xin Wang, Deyou Liu, Ling Zhou, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2963-2963
Open Access
A Hybrid Intelligent Optimization Algorithm Based on a Learning Strategy
Wanyi Deng, Xiaoxue Ma, Weiliang Qiao
Mathematics (2024) Vol. 12, Iss. 16, pp. 2570-2570
Open Access
Methodology for Data Extraction from Sound Intensity Maps and for the Analytical Localization of a Source
Luca Fredianelli, Gregorio Pedrini, Matteo Bolognese, et al.
(2023)
Closed Access
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