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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:

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

Showing 1-25 of 50 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 304
Transfer learning based fault diagnosis of automobile dry clutch system
Ganjikunta Chakrapani, V. Sugumaran
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105522-105522
Closed Access | Times Cited: 41
Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines
Zhen Chen, Di Zhou, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109162-109162
Closed Access | Times Cited: 30
Anomaly Detection Method for Multivariate Time Series Data of Oil and Gas Stations Based on Digital Twin and MTAD-GAN
Yuanfeng Lian, Yueyao Geng, Tian Tian
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1891-1891
Open Access | Times Cited: 26
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
Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines
Ruxu Yue, Guoqian Jiang, Xiaohang Jin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-17
Closed Access | Times Cited: 9
Reliability analysis of wind turbine gearboxes: past, progress and future prospects
Debiao Meng, Peng Nie, Shiyuan Yang, et al.
International Journal of Structural Integrity (2025)
Closed Access | Times Cited: 1
Non-Temporal Neural Networks for Predicting Degradation Trends of Key Wind-Turbine Gearbox Components
Xiaoxia Yu, Zhigang Zhang, Baoping Tang, et al.
Renewable Energy (2025), pp. 122438-122438
Closed Access | Times Cited: 1
A Novel Fault Diagnosis Method Based on SWT and VGG-LSTM Model for Hydraulic Axial Piston Pump
Yong Zhu, Hong Su, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 3, pp. 594-594
Open Access | Times Cited: 22
A partial domain adaptation scheme based on weighted adversarial nets with improved CBAM for fault diagnosis of wind turbine gearbox
Yunyi Zhu, Yan Pei, Anqi Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106674-106674
Closed Access | Times Cited: 22
Wind turbine fault detection and identification through self-attention-based mechanism embedded with a multivariable query pattern
Anqi Wang, Yan Pei, Yunyi Zhu, et al.
Renewable Energy (2023) Vol. 211, pp. 918-937
Closed Access | Times Cited: 19
Multi-Fault Detection and Classification of Wind Turbines Using Stacking Classifier
Prince Waqas Khan, Yung-Cheol Byun
Sensors (2022) Vol. 22, Iss. 18, pp. 6955-6955
Open Access | Times Cited: 23
A spectral self-focusing fault diagnosis method for automotive transmissions under gear-shifting conditions
Xiwei Li, Yaguo Lei, Mingzhong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110499-110499
Closed Access | Times Cited: 16
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
A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms
Adriano Liso, Angelo Cardellicchio, Cosimo Patruno, et al.
IEEE Access (2024) Vol. 12, pp. 93911-93923
Open Access | Times Cited: 6
Research on Fault Prediction Method of Elevator Door System Based on Transfer Learning
Jun Pan, Changxu Shao, Yuefang Dai, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2135-2135
Open Access | Times Cited: 5
Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset
Farhan Md. Siraj, Syed Tasnimul Karim Ayon, Md Abdus Samad, et al.
IEEE Access (2024) Vol. 12, pp. 50986-50997
Open Access | Times Cited: 5
Condition monitoring of wind turbine based on a novel spatio-temporal feature aggregation network integrated with adaptive threshold interval
Lixiao Cao, Jie Zhang, Qian Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102676-102676
Closed Access | Times Cited: 5
AI-based condition monitoring on mechanical systems using multibody dynamics models
Josef Koutsoupakis, Dimitrios Giagopoulos, Iraklis Chatziparasidis
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106467-106467
Closed Access | Times Cited: 12
An Improved MSCNN and GRU Model for Rolling Bearing Fault Diagnosis
Teng Wang, Youfu Tang, Tao Wang, et al.
Strojniški vestnik – Journal of Mechanical Engineering (2023) Vol. 69, Iss. 5-6, pp. 261-274
Open Access | Times Cited: 10
Robust Clustering and Anomaly Detection of User Electricity Consumption Behavior Based on Correntropy
Teng Zhang, Xusheng Qian, Yu Zhou, et al.
IET Generation Transmission & Distribution (2025) Vol. 19, Iss. 1
Open Access
Semi-supervised Feature Contrast Incremental Learning Framework for Bearing Fault Diagnosis with Limited Labeled Samples
X. Tao, Changqing Shen, Lin Li, et al.
Applied Soft Computing (2025), pp. 113172-113172
Closed Access
A robust fleet-based anomaly detection framework applied to wind turbine vibration data
Gustavo de Novaes Pires Leite, Felipe Farias, Tiago Gomes de Sá, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106859-106859
Closed Access | Times Cited: 9
Fault detection of offshore wind turbine gearboxes based on deep adaptive networks via considering Spatio-temporal fusion
Yongchao Zhu, Caichao Zhu, Jianjun Tan, et al.
Renewable Energy (2022) Vol. 200, pp. 1023-1036
Closed Access | Times Cited: 12
Wind Turbine Blade Monitoring via Deep Learning and Acoustic Aerodynamic Signals
Yat Ping Lam, Silvio Simani
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 604-609
Open Access | Times Cited: 2
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