
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:
An imbalanced semi-supervised wind turbine blade icing detection method based on contrastive learning
Zixuan Wang, Bo Qin, Haiyue Sun, et al.
Renewable Energy (2023) Vol. 212, pp. 251-262
Closed Access | Times Cited: 10
Zixuan Wang, Bo Qin, Haiyue Sun, et al.
Renewable Energy (2023) Vol. 212, pp. 251-262
Closed Access | Times Cited: 10
Showing 10 citing articles:
Trifolium repens L.-Like Periodic Micronano Structured Superhydrophobic Surface with Ultralow Ice Adhesion for Efficient Anti-Icing/Deicing
Sensen Xuan, Huan Yin, Guoqiang Li, et al.
ACS Nano (2023) Vol. 17, Iss. 21, pp. 21749-21760
Closed Access | Times Cited: 84
Sensen Xuan, Huan Yin, Guoqiang Li, et al.
ACS Nano (2023) Vol. 17, Iss. 21, pp. 21749-21760
Closed Access | Times Cited: 84
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults
P. Maestro, José Miguel Ramírez‐Sanz, Andrés Bustillo, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4525-4544
Open Access | Times Cited: 4
P. Maestro, José Miguel Ramírez‐Sanz, Andrés Bustillo, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4525-4544
Open Access | Times Cited: 4
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: 4
Feng Ye, Ahmed Aziz Ezzat
Renewable Energy (2024) Vol. 231, pp. 120879-120879
Open Access | Times Cited: 4
Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling
Hongrui Li, Shuangxin Wang, Jiading Jiang, et al.
Neurocomputing (2024) Vol. 583, pp. 127600-127600
Closed Access | Times Cited: 2
Hongrui Li, Shuangxin Wang, Jiading Jiang, et al.
Neurocomputing (2024) Vol. 583, pp. 127600-127600
Closed Access | Times Cited: 2
Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure
Shaochen Li, Jianping Xuan, Qing Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102641-102641
Closed Access | Times Cited: 2
Shaochen Li, Jianping Xuan, Qing Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102641-102641
Closed Access | Times Cited: 2
In Situ Structural Health Monitoring of Full-Scale Wind Turbine Blades in Operation Based on Stereo Digital Image Correlation
Weiwu Feng, Yang Da, DU Wen-xue, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13783-13783
Open Access | Times Cited: 6
Weiwu Feng, Yang Da, DU Wen-xue, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13783-13783
Open Access | Times Cited: 6
Wind turbine blade breakage detection based on environment-adapted contrastive learning
Shilin Sun, Qi Li, Wenyang Hu, et al.
Renewable Energy (2023) Vol. 219, pp. 119487-119487
Closed Access | Times Cited: 2
Shilin Sun, Qi Li, Wenyang Hu, et al.
Renewable Energy (2023) Vol. 219, pp. 119487-119487
Closed Access | Times Cited: 2
A Deep Learning Approach for Icing Detection on Wind Turbine Blades Using Acoustic Signals
Bingchuan Sun, Hongmei Cui, Jie He, et al.
(2024)
Closed Access
Bingchuan Sun, Hongmei Cui, Jie He, et al.
(2024)
Closed Access
Fault detection of wind turbine blades based on CNN-RFECV-DT
Jinda Gu, Ruilong Lei, Zhiyong Fan, et al.
(2024), pp. 636-640
Closed Access
Jinda Gu, Ruilong Lei, Zhiyong Fan, et al.
(2024), pp. 636-640
Closed Access
Estimation of Wind Turbine Blade Icing Volume Based on Binocular Vision
Fangzheng Wei, Zhiyong Guo, Qiaoli Han, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 114-114
Open Access
Fangzheng Wei, Zhiyong Guo, Qiaoli Han, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 114-114
Open Access