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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 26-50 of 160 citing articles:

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: 37
Deep Learning Based Emotion Recognition and Visualization of Figural Representation
Xiaofeng Lu
Frontiers in Psychology (2022) Vol. 12
Open Access | Times Cited: 32
A Survey on Artificial Intelligence in Posture Recognition
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 1, pp. 35-82
Open Access | Times Cited: 17
Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning
Ghazlane Yasmine, Maha Gmira, Hicham Medromi
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 8
Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review
Mohamed Benbouzid, Tarek Berghout, Nur Sarma, et al.
Energies (2021) Vol. 14, Iss. 18, pp. 5967-5967
Open Access | Times Cited: 41
Towards accurate image stitching for drone-based wind turbine blade inspection
Cong Yang, Xun Liu, Hua Zhou, et al.
Renewable Energy (2022) Vol. 203, pp. 267-279
Open Access | Times Cited: 27
Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule
Han-Saem Park, Dong Yoon Park, Byeongjoon Noh, et al.
Building and Environment (2022) Vol. 218, pp. 109060-109060
Closed Access | Times Cited: 26
Image Recognition of Wind Turbine Blade Defects Using Attention-Based MobileNetv1-YOLOv4 and Transfer Learning
Chen Zhang, Tao Yang, Jing Yang
Sensors (2022) Vol. 22, Iss. 16, pp. 6009-6009
Open Access | Times Cited: 26
Appraising machine learning classifiers for discriminating rotor condition in 50W–12V operational wind turbine for maximizing wind energy production through feature extraction and selection process
Joshuva Arockia Dhanraj, Rami S. Alkhawaldeh, Pham Van De, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 26
Transfer Learning Facilitates the Prediction of Polymer–Surface Adhesion Strength
Jiale Shi, Fahed Albreiki, Yamil J. Colón, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 14, pp. 4631-4640
Open Access | Times Cited: 15
Machine learning applications in health monitoring of renewable energy systems
Bo Ren, Yuan Chi, Niancheng Zhou, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114039-114039
Closed Access | Times Cited: 15
Transfer Learning for Renewable Energy Systems: A Survey
Rami Al-Hajj, Ali Assi, Bilel Neji, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9131-9131
Open Access | Times Cited: 14
Icing detection and prediction for wind turbines using multivariate sensor data and machine learning
Feng Ye, Ahmed Aziz Ezzat
Renewable Energy (2024) Vol. 231, pp. 120879-120879
Open Access | Times Cited: 6
A Drone-Driven X-Ray Image-Based Diagnosis of Wind Turbine Blades for Reliable Operation of Wind Turbine
Hyun-Yong Lee, Yu Min Hwang, Jungi Lee, et al.
IEEE Access (2024) Vol. 12, pp. 56141-56158
Open Access | Times Cited: 5
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: 5
UAV based sensing and imaging technologies for power system detection, monitoring and inspection: a review
Yunze He, Zhaoyan Liu, Yike Guo, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-68
Closed Access | Times Cited: 5
Diagnosis of COVID-19 Pneumonia Based on Graph Convolutional Network
Xiaoling Liang, Yuexin Zhang, Jiahong Wang, et al.
Frontiers in Medicine (2021) Vol. 7
Open Access | Times Cited: 30
Review on the Damage and Fault Diagnosis of Wind Turbine Blades in the Germination Stage
Xiaowen Song, Zhitai Xing, Yan Jia, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7492-7492
Open Access | Times Cited: 22
Formation mechanism and detection and evaluation methods as well as repair technology of crack damage in fiber-reinforced composite wind turbine blade: a review
Zheng Cao, Shujian Li, Changping Li, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 120, Iss. 9-10, pp. 5649-5672
Closed Access | Times Cited: 20
A novel transformer-enhanced and acoustic-based approach for wind turbine blade fault detection with integrated system implementation
Zeqiang Li, Zhao Yang, Yanjie Zhang, et al.
Journal of Engineering Design (2024), pp. 1-30
Closed Access | Times Cited: 4
An adaptive detection approach for multi-scale defects on wind turbine blade surface
Yan He, Xiaobo Niu, Chuanpeng Hao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111592-111592
Closed Access | Times Cited: 4
Optimization for total energy consumption of drone inspection based on distance-constrained capacitated vehicle routing problem: A study in wind farm
Xianfei Huang, Gaocai Wang
Expert Systems with Applications (2024) Vol. 255, pp. 124880-124880
Closed Access | Times Cited: 4
Comparison of neural network types and architectures for generating a surrogate aerodynamic wind turbine blade model
Eric R. Lalonde, Benjamin Vischschraper, Girma Bitsuamlak, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2021) Vol. 216, pp. 104696-104696
Closed Access | Times Cited: 27
Intelligent Classification of Tungsten Inert Gas Welding Defects: A Transfer Learning Approach
Ravi Sekhar, Deepak Sharma, Pritesh Shah
Frontiers in Mechanical Engineering (2022) Vol. 8
Open Access | Times Cited: 19
An Improved U-Net Model for Infrared Image Segmentation of Wind Turbine Blade
Junfeng Yu, Yunze He, Hao Liu, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 2, pp. 1318-1327
Closed Access | Times Cited: 18

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