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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:

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

Showing 1-25 of 26 citing articles:

Fluid-structure interaction and life prediction of small-scale damaged horizontal axis wind turbine blades
Praveen Shakya, Matt Thomas, Abdennour Seibi, et al.
Results in Engineering (2024) Vol. 23, pp. 102388-102388
Open Access | Times Cited: 9
Critical review of current wind turbine blades’ design and materials and their influence on the end-of-life management of wind turbines
Luca Michele Martulli, Marco Diani, G. Sabetta, et al.
Engineering Structures (2025) Vol. 327, pp. 119625-119625
Closed Access | Times Cited: 1
A Review of thermoplastic composites on wind turbine blades
Xiangrong Cheng, Bing Du, He Jia, et al.
Composites Part B Engineering (2025), pp. 112411-112411
Closed Access | Times Cited: 1
Vulnerability Analysis of UAV Swarm Network with Emergency Tasks
Jinglei Li, Qingfeng Yue, Zijia Huang, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2005-2005
Open Access | Times Cited: 5
Advanced Sensors and Sensing Systems for Structural Health Monitoring in Aerospace Composites
Raphael Olabanji Ogunleye, Soňa Rusnáková, Jakub Javořík, et al.
Advanced Engineering Materials (2024)
Open Access | Times Cited: 5
A Novel Small-Scale Wind-Turbine Blade Failure Detection According to Monitored-Data
Ali Aranizadeh, Hesam Khorrami Shad, Behrooz Vahidi, et al.
Results in Engineering (2024), pp. 103809-103809
Open Access | Times Cited: 4
Review of Drone-Based Technologies for Wind Turbine Blade Inspection
Seong-Jun Heo, Wongi S. Na
Electronics (2025) Vol. 14, Iss. 2, pp. 227-227
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
MFYOLO: Improved UAV lightweighting algorithm for wind turbine blade surface visibility damage detection
Jiale Xiao, Lei Xu, Changyun Li, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110225-110225
Closed Access
Defect Detection and Classification on Wind Turbine Blades Using Deep Learning with Fuzzy Voting
R. G. Pratt, Carter Allen, Mohammad A. S. Masoum, et al.
Machines (2025) Vol. 13, Iss. 4, pp. 283-283
Open Access
DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation
Serhii Svystun, Łukasz Ścisło, Marcin Pawlik, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1823-1823
Open Access
Accurate and robust 3D reconstruction of wind turbine blade leading edges from high-resolution images
Jonathan Sterckx, Michiel Vlaminck, Koenraad De Bauw, et al.
Automation in Construction (2025) Vol. 175, pp. 106153-106153
Closed Access
Crack Location in Wind Turbine Blades Using Vibration Signal and Support Vector Machine
P.Y. Sevilla-Camacho, J.B. Robles-Ocampo, Juvenal Rodríguez‐Reséndiz, et al.
Vibration (2025) Vol. 8, Iss. 2, pp. 20-20
Open Access
Enhancing the safety and sustainability of aging jacket-type offshore wind turbines in extreme weather conditions through digital healthcare engineering: a literature review
Yu Min Xie, Hyeong Jin Kim, Yuanchao Yin, et al.
Ships and Offshore Structures (2025), pp. 1-28
Closed Access
Identification and Localization of Wind Turbine Blade Faults Using Deep Learning
M. R. Davis, Edwin Nazario Dejesus, Mohammad Shekaramiz, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6319-6319
Open Access | Times Cited: 3
Wind Turbine Blade Defect Detection Algorithm Based on Lightweight MES-YOLOv8n
Limei Ma, Xingyu Jiang, Zizhen Tang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 28409-28418
Closed Access | Times Cited: 3
Advancements in Object Detection for Unmanned Aerial Vehicles: Applications, Challenges, and Future Perspectives
Anıl Sezgin, Aytuğ Boyacı
(2024), pp. 1-6
Closed Access | Times Cited: 1
A Machine Vision Method for Identifying Blade Tip Clearance in Wind Turbines
Le Zhang, Jiadan Wei
Sensors (2024) Vol. 24, Iss. 18, pp. 5935-5935
Open Access | Times Cited: 1
Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects
Леся Дубчак, Anatoliy Sachenko, Yevgeniy Bodyanskiy, et al.
Energies (2024) Vol. 17, Iss. 24, pp. 6456-6456
Open Access | Times Cited: 1
Detection of Defects in Wind Turbin Blade Based on Cascaded Adaptive Hybrid Attention Network
Yuanxi Zhao, Zhibin Qiu, Ying Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 99349-99361
Open Access
Advancing Offshore Renewable Energy: Integrative Approaches in Floating Offshore Wind Turbine-Oscillating Water Column Systems Using Artificial Intelligence-Driven Regressive Modeling and Proportional-Integral-Derivative Control
Irfan Ahmad, Fares M’zoughi, Payam Aboutalebi, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1292-1292
Open Access
YOLOv8-WTDD: multi-scale defect detection algorithm for wind turbines
Xiaoyan Yu, Yan Peng, Shuhan Zheng, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Deep Learning in Semiconductor Devices for Drone Based Wind Turbine Inspections
Vijay Kumar Kodavalla
(2024), pp. 1-6
Closed Access
Leading Edge Erosion Classification in Offshore Wind Turbines Using Feature Extraction and Classical Machine Learning
Oscar Best, Asiya Khan, Sanjay Sharma, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5475-5475
Open Access
Optimizing PID Controllers of Drone-based Wind Turbine Inspection Systems using the African Vulture Algorithm
Jaime C. Fonseca, Lorenzo Valente, Paulo Jefferson Dias de Oliveira Evald
(2024), pp. 1-6
Closed Access
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