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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:

Fault Diagnosis for Wind Turbine Gearboxes by Using Deep Enhanced Fusion Network
Ziqiang Pu, Chuan Li, Shaohui Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms
Lei Kou, Yang Li, Fangfang Zhang, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 2822-2822
Open Access | Times Cited: 72
Wind Turbine Drivetrain Gearbox Fault Diagnosis Using Information Fusion on Vibration and Current Signals
Yayu Peng, Wei Qiao, Fangzhou Cheng, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Open Access | Times Cited: 44
Fault Detection of Wind Turbine Blades Using Multi-Channel CNN
Menghui Wang, Shiue‐Der Lu, Cheng-Che Hsieh, et al.
Sustainability (2022) Vol. 14, Iss. 3, pp. 1781-1781
Open Access | Times Cited: 36
Bearing fault diagnosis based on Gramian angular field and DenseNet
Yajing Zhou, Xinyu Long, Mingwei Sun, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 12, pp. 14086-14101
Open Access | Times Cited: 33
Improved adversarial learning for fault feature generation of wind turbine gearbox
Zhen Guo, Ziqiang Pu, Wenliao Du, et al.
Renewable Energy (2021) Vol. 185, pp. 255-266
Closed Access | Times Cited: 37
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: 13
Feature Enhancement Based on Regular Sparse Model for Planetary Gearbox Fault Diagnosis
Xingwu Zhang, Rui Ma, Ming Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-16
Closed Access | Times Cited: 21
From Anomaly Detection to Novel Fault Discrimination for Wind Turbine Gearboxes With a Sparse Isolation Encoding Forest
Wenliao Du, Zhen Guo, Chuan Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 19
Data augmentation on fault diagnosis of wind turbine gearboxes with an enhanced flow-based generative model
Wenliao Du, Pengxiang Zhu, Ziqiang Pu, et al.
Measurement (2023) Vol. 225, pp. 113985-113985
Closed Access | Times Cited: 12
A Fault Diagnosis Technique for Wind Turbine Gearbox: An Approach using Optimized BLSTM Neural Network with Undercomplete Autoencoder
M. Sreenatha, P. Mallikarjuna
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 1, pp. 10170-10174
Open Access | Times Cited: 11
Spatiotemporal Generative Adversarial Imputation Networks: An Approach to Address Missing Data for Wind Turbines
Xuguang Hu, Zhaokang Zhan, Dazhong Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-8
Closed Access | Times Cited: 11
Wind Turbine Fault Detection With Multimodule Feature Extraction Network and Adaptive Strategy
Guanglun Liu, Jianlong Si, Wenchao Meng, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Closed Access | Times Cited: 16
A Novel Small-Sample Dense Teacher Assistant Knowledge Distillation Method for Bearing Fault Diagnosis
Hongyu Zhong, Samson S. Yu, Hieu Trinh, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24279-24291
Closed Access | Times Cited: 8
Wind Turbine Blade Breakage Monitoring With Mogrifier LSTM Autoencoder
Ping Wu, Yixuan Wang, Xujie Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 8
Discriminative Sparse Autoencoder for Gearbox Fault Diagnosis Toward Complex Vibration Signals
Zhiqiang Zhang, Qingyu Yang, Yanyang Zi, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 12
Recent deep learning models for diagnosis and health monitoring: A review of research works and future challenges
Chuyue Lou, Mohamed Amine Atoui, Xiangshun Li
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 14, pp. 2833-2870
Open Access | Times Cited: 6
The Semisupervised Weighted Centroid Prototype Network for Fault Diagnosis of Wind Turbine Gearbox
Zuqiang Su, Xiaolong Zhang, Guoyin Wang, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 2, pp. 1567-1578
Closed Access | Times Cited: 5
Mechanical fault diagnosis by using dynamic transfer adversarial learning
Yadong Wei, Tuzhi Long, Xiaoman Cai, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 10, pp. 104005-104005
Closed Access | Times Cited: 11
Research on Fault Diagnosis of Wind Turbine Gearbox with Snowflake Graph and Deep Learning Algorithm
Menghui Wang, Fu‐Hao Chen, Shiue‐Der Lu
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1416-1416
Open Access | Times Cited: 4
Proposed multi-signal input fault diagnosis of wind turbine bearing based on glow model
Bin Wang, Fei Wang, Yunbo Zou, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 1
Fault Diagnosis of Wind Turbine Gearbox Using Vibration Scatter Plot and Visual Geometric Group Network
Menghui Wang, Chun‐Chun Hung, Shiue‐Der Lu, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 985-985
Open Access | Times Cited: 1
Fault detection of key parts of wind turbine based on BP neural network combination prediction model
Jingjing Zhang, Li Liu, Lei Wang, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
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
Early Fault Warning Method of Wind Turbine Main Transmission System Based on SCADA and CMS Data
Huanguo Chen, Jie Chen, Juchuan Dai, et al.
Machines (2022) Vol. 10, Iss. 11, pp. 1018-1018
Open Access | Times Cited: 6
Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks
Dario Bruneo, Fabrizio De Vita
Sensors (2022) Vol. 22, Iss. 8, pp. 2858-2858
Open Access | Times Cited: 5
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