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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 Based on an Approach Combining a Spectrogram and a Convolutional Neural Network with Application to a Wind Turbine System
Wenxin Yu, Shoudao Huang, Xiao Weihong
Energies (2018) Vol. 11, Iss. 10, pp. 2561-2561
Open Access | Times Cited: 16

Showing 16 citing articles:

A comprehensive review on convolutional neural network in machine fault diagnosis
Jinyang Jiao, Ming Zhao, Jing Lin, et al.
Neurocomputing (2020) Vol. 417, pp. 36-63
Open Access | Times Cited: 407
Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data
Yanting Li, Wenbo Jiang, Guangyao Zhang, et al.
Renewable Energy (2021) Vol. 171, pp. 103-115
Closed Access | Times Cited: 119
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review
Aneesh G. Nath, Sandeep S. Udmale, Sanjay Kumar Singh
Artificial Intelligence Review (2020) Vol. 54, Iss. 4, pp. 2609-2668
Closed Access | Times Cited: 112
Deep learning-based modeling method for probabilistic LCF life prediction of turbine blisk
Cheng‐Wei Fei, Yao-Jia Han, Jiongran Wen, et al.
Propulsion and Power Research (2023) Vol. 13, Iss. 1, pp. 12-25
Open Access | Times Cited: 22
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Anomaly Detection of Wind Turbines Based on Deep Small-World Neural Network
Meng Li, Shuangxin Wang, Shanxiang Fang, et al.
Applied Sciences (2020) Vol. 10, Iss. 4, pp. 1243-1243
Open Access | Times Cited: 27
Sensor Fault Detection and Diagnosis Method for AHU Using 1-D CNN and Clustering Analysis
Jingjing Liu, Min Zhang, Hai Wang, et al.
Computational Intelligence and Neuroscience (2019) Vol. 2019, pp. 1-20
Open Access | Times Cited: 21
Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir
Matteo Cardoni, Danilo Pau, Laura Falaschetti, et al.
Electronics (2021) Vol. 10, Iss. 22, pp. 2836-2836
Open Access | Times Cited: 13
Fuzzy and Neural Network Approaches to Wind Turbine Fault Diagnosis
Saverio Farsoni, Silvio Simani, Paolo Castaldi
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 5035-5035
Open Access | Times Cited: 11
Fine-grained fault recognition method for shaft orbit of rotary machine based on convolutional neural network
Bo Wu, Songlin Feng, Guodong Sun, et al.
Journal of Vibroengineering (2019) Vol. 21, Iss. 8, pp. 2106-2120
Open Access | Times Cited: 9
Fuzzy and Neural Network Approaches to Wind Turbine Fault Diagnosis
Saverio Farsoni, Silvio Simani, Paolo Castaldi
(2021)
Open Access | Times Cited: 3
Fault Detection in SPS Using Image Encoding and Deep Learning
P Syam Prasad, N. S. Jai Aakash, T. Avinash, et al.
Lecture notes on data engineering and communications technologies (2021), pp. 533-545
Closed Access | Times Cited: 3
Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks
Matteo Cardoni, Danilo Pau, Laura Falaschetti, et al.
Data in Brief (2021) Vol. 39, pp. 107538-107538
Open Access | Times Cited: 1
Review on Optimization Strategies and Techniques Used in Wind Turbine Modelling
FZ Melhaoui, Mohammad Rafi, Abdellatif Elassoudi
2022 IEEE PES/IAS PowerAfrica (2023), pp. 1-5
Closed Access
Fault Diagnosis in Wind Energy Management System using Extreme Learning Machine: A Systematic Review
Chong Tak Yaw, Siew Li Teoh, Siaw Paw Koh, et al.
Journal of Physics Conference Series (2022) Vol. 2319, Iss. 1, pp. 012014-012014
Open Access
Deep Learning Based Security Preservation of IoT: An Industrial Machine Health Monitoring Scenario
Aneesh G. Nath, Sanjay Kumar Singh
Signals and communication technology (2021), pp. 151-167
Closed Access
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