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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:

Image recognition of wind turbine blade damage based on a deep learning model with transfer learning and an ensemble learning classifier
Xiyun Yang, Yanfeng Zhang, Wei Lv, et al.
Renewable Energy (2020) Vol. 163, pp. 386-397
Closed Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

Non-Destructive Techniques for the Condition and Structural Health Monitoring of Wind Turbines: A Literature Review of the Last 20 Years
Marco Civera, Cecilia Surace
Sensors (2022) Vol. 22, Iss. 4, pp. 1627-1627
Open Access | Times Cited: 101
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104059-104059
Open Access | Times Cited: 90
Review of robot-based damage assessment for offshore wind turbines
Yiming Liu, Muhammad R. Hajj, Yi Bao
Renewable and Sustainable Energy Reviews (2022) Vol. 158, pp. 112187-112187
Closed Access | Times Cited: 81
Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Alessandro Sabato, Shweta Dabetwar, Nitin Nagesh Kulkarni, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 4672-4684
Closed Access | Times Cited: 44
A wind turbine damage detection algorithm designed based on YOLOv8
Lizhao Liu, P. L. Li, Da‐Han Wang, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111364-111364
Closed Access | Times Cited: 29
Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection
Majid Memari, Praveen Shakya, Mohammad Shekaramiz, et al.
IEEE Access (2024) Vol. 12, pp. 33236-33282
Open Access | Times Cited: 26
A Lightweight multi-path convolutional neural network architecture using optimal features selection for multiclass classification of brain tumor using magnetic resonance images
Amreen Batool, Yung-Cheol Byun
Results in Engineering (2025), pp. 104327-104327
Open Access | Times Cited: 3
Deep transfer operator learning for partial differential equations under conditional shift
Somdatta Goswami, Katiana Kontolati, Michael D. Shields, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1155-1164
Closed Access | Times Cited: 64
Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning
Yongchao Zhu, Caichao Zhu, Jianjun Tan, et al.
Renewable Energy (2022) Vol. 189, pp. 90-103
Closed Access | Times Cited: 50
A Novel Smart Contract Vulnerability Detection Method Based on Information Graph and Ensemble Learning
Lejun Zhang, Jinlong Wang, Weizheng Wang, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3581-3581
Open Access | Times Cited: 46
A comprehensive study on Structural Health Monitoring (SHM) of wind turbine blades by instrumenting tower using machine learning methods
Meghdad Khazaee, Pierre Dérian, Anthony Mouraud
Renewable Energy (2022) Vol. 199, pp. 1568-1579
Open Access | Times Cited: 39
CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection
Omneya Attallah, Rania A. Ibrahim, Nahla E. Zakzouk
Renewable Energy (2022) Vol. 203, pp. 870-880
Closed Access | Times Cited: 39
A domain adaptation YOLOv5 model for industrial defect inspection
Chen Li, Haoxin Yan, Xiang Qian, et al.
Measurement (2023) Vol. 213, pp. 112725-112725
Closed Access | Times Cited: 30
Defect detection of the surface of wind turbine blades combining attention mechanism
Yuhang Liu, Yuqiao Zheng, Zhufeng Shao, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102292-102292
Closed Access | Times Cited: 29
Deep learning-based modeling method for probabilistic LCF life prediction of turbine blisk
Cheng‐Wei Fei, Yao-Jia Han, Jiongran Wen, et al.
Propulsion and Power Research (2023) Vol. 13, Iss. 1, pp. 12-25
Open Access | Times Cited: 27
ResDenIncepNet-CBAM with principal component analysis for wind turbine blade cracking fault prediction with only short time scale SCADA data
Quan Lu, Wanxing Ye, Linfei Yin
Measurement (2023) Vol. 212, pp. 112696-112696
Closed Access | Times Cited: 24
Research of artificial intelligence operations for wind turbines considering anomaly detection, root cause analysis, and incremental training
Chen Zhang, Di Hu, Tao Yang
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109634-109634
Closed Access | Times Cited: 23
Research on an Intelligent Identification Method for Wind Turbine Blade Damage Based on CBAM-BiFPN-YOLOV8
Hang Yu, Jianguo Wang, Yaxiong Han, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 205-205
Open Access | Times Cited: 17
Study on crack monitoring method of wind turbine blade based on AI model: Integration of classification, detection, segmentation and fault level evaluation
Xinyu Hang, Xiaoxun Zhu, Xiaoxia Gao, et al.
Renewable Energy (2024) Vol. 224, pp. 120152-120152
Closed Access | Times Cited: 17
Deep Learning and Image data-based surface cracks recognition of laser nitrided Titanium alloy
Muhammad Rizwan Awan, Chi-Wai Chan, Adrian Murphy, et al.
Results in Engineering (2024) Vol. 22, pp. 102003-102003
Open Access | Times Cited: 14
A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions
Biliang Lu, Ali Dibaj, Zhen Gao, et al.
Ocean Engineering (2024) Vol. 296, pp. 116902-116902
Closed Access | Times Cited: 13
Condition-based maintenance of wind turbine structures: A state-of-the-art review
So Young Oh, Chanwoo Joung, Seonghwan Lee, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114799-114799
Closed Access | Times Cited: 11
Advanced wind turbine blade inspection with hyperspectral imaging and 3D convolutional neural networks for damage detection
Patrick Rizk, Frederic Rizk, Sasan Sattarpanah Karganroudi, et al.
Energy and AI (2024) Vol. 16, pp. 100366-100366
Open Access | Times Cited: 10
A Data-Mining Approach for Wind Turbine Fault Detection Based on SCADA Data Analysis Using Artificial Neural Networks
Annalisa Santolamazza, Daniele Dadi, Vito Introna
Energies (2021) Vol. 14, Iss. 7, pp. 1845-1845
Open Access | Times Cited: 56
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