Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Non-uniform illumination image enhancement for surface damage detection of wind turbine blades
Yeping Peng, Weijiang Wang, Zhen Tang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108797-108797
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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: 140
Center-based Transfer Feature Learning With Classifier Adaptation for surface defect recognition
Yan Shi, Lei Li, Jun Yang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110001-110001
Closed Access | Times Cited: 73
Motion magnification for video-based vibration measurement of civil structures: A review
Kui Luo, Xuan Kong, Jinzhao Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111681-111681
Closed Access | Times Cited: 20
A Review of machine learning techniques for wind turbine’s fault detection, diagnosis, and prognosis
Prince Waqas Khan, Yung-Cheol Byun
International Journal of Green Energy (2023) Vol. 21, Iss. 4, pp. 771-786
Closed Access | Times Cited: 23
Unmanned Aerial Vehicle (UAV)-Assisted Damage Detection of Wind Turbine Blades: A Review
Z. H. Zhang, Z.R. Shu
Energies (2024) Vol. 17, Iss. 15, pp. 3731-3731
Open Access | Times Cited: 4
Review of state-of-the-art surface defect detection on wind turbine blades through aerial imagery: Challenges and recommendations
Imad Gohar, Weng Kean Yew, Abderrahim Halimi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 109970-109970
Open Access
Wind Turbine Blade Fault Detection Based on Graph Fourier Transform and Deep Learning
Xiang Pan, Andi Chen, Chenhui Zhang, et al.
Digital Signal Processing (2025), pp. 105007-105007
Closed Access
Intelligent recognition and measurement for fatigue cracks in orthotropic steel decks: A comparative study of algorithms
Lexin Zhang, Zhiyu Jie, Zhongxian Li, et al.
Measurement (2025), pp. 116867-116867
Closed Access
A hybrid hierarchical health monitoring solution for autonomous detection, localization and quantification of damage in composite wind turbine blades for tinyML applications
Nikhil Holsamudrkar, Shirsendu Sikdar, Akshay Prakash Kalgutkar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Vibration Signal-Based Diagnosis of Wind Turbine Blade Conditions for Improving Energy Extraction Using Machine Learning Approach
Manas Ranjan Sethi, Sudarsan Sahoo, Joshuva Arockia Dhanraj, et al.
Smart and Sustainable Manufacturing Systems (2023) Vol. 7, Iss. 1, pp. 14-40
Closed Access | Times Cited: 8
Single-pixel imaging for a high-speed rotating object with varying rotation speed
Manhong Yao, Ganhong Yang, Jun Yin, et al.
Optics & Laser Technology (2024) Vol. 177, pp. 111125-111125
Closed Access | Times Cited: 3
Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO
Syed Z. Rizvi, Mohsin Jamil, Weimin Huang
Computers & Electrical Engineering (2024) Vol. 120, pp. 109615-109615
Closed Access | Times Cited: 3
Channel-Spatial attention convolutional neural networks trained with adaptive learning rates for surface damage detection of wind turbine blades
Zhaohua Liu, Qi Chen, Hua‐Liang Wei, et al.
Measurement (2023) Vol. 217, pp. 113097-113097
Closed Access | Times Cited: 5
Damage Detection for Rotating Blades Using Digital Image Correlation with an AC-SURF Matching Algorithm
Jiawei Gu, Gang Liu, Mengzhu Li
Sensors (2022) Vol. 22, Iss. 21, pp. 8110-8110
Open Access | Times Cited: 8
Application of Gabor, Log-Gabor, and Adaptive Gabor Filters in Determining the Cut-Off Wavelength Shift of TFBG Sensors
Sławomir Cięszczyk
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6394-6394
Open Access | Times Cited: 1
Wind Turbine Anomaly Detection and Identification based on Graph Neural Networks with Decision Interpretability
Guoqian Jiang, Zichen Yi, Qun He
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116141-116141
Closed Access | Times Cited: 1
An Improved YOLOv7 Model for Surface Damage Detection on Wind Turbine Blades Based on Low-Quality UAV Images
Yongkang Liao, Mingyang Lv, Huang MingYong, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 436-436
Open Access | Times Cited: 1
Attention Mechanism-based CNN for Surface Damage Detection of Wind Turbine Blades
Qi Chen, Zhaohua Liu, Mingyang Lv
(2022), pp. 313-319
Closed Access | Times Cited: 3
Damage Identification Method of Wind Turbine Generator System Blades Based on Image Processing Technology
Hongwu Qin, Ji Zou, Binggao He, et al.
Traitement du signal (2023) Vol. 40, Iss. 2, pp. 825-833
Open Access | Times Cited: 1
Transfer Learning Using Cluster Centers for Surface Defect Identification of Piston Rods in Pneumatic Cylinders
Yan Shi, Lei Li, Jun Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 1
基于本征特征分解和多级融合的PCB缺陷检测模型，对抗图像不确定性
Xinyi Yu, Han‐Xiong Li, Haidong Yang
(2023)
Closed Access | Times Cited: 1
PCB Defect Detection Model Based on Intrinsic Feature Decomposition and Multilevel Fusion Against Image Uncertainty
Xinyi Yu, Han‐Xiong Li, Haidong Yang
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19497-19505
Closed Access
Quantitative Characterization of Surface Defects on Bridge Cable based on Improved YOLACT++
Hong Zhang, Jianglong He, Xiaogang Jiang, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03953-e03953
Open Access
An advanced method for surface damage detection of concrete structures in low-light environments based on image enhancement and object detection networks
Tianyong Jiang, Lin Liu, Chunjun Hu, et al.
Advances in Bridge Engineering (2024) Vol. 5, Iss. 1
Open Access
Advancements in Machine Learning-Based Condition Monitoring for Crack Detection in Windmill Blades: A Comprehensive Review
K. Ashwitha, M. C. Kiran, Surendra Shetty, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access
Page 1 - Next Page

Scroll to top