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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:

A Survey on Fault Diagnosis of Rolling Bearings
Bo Peng, Ying Bi, Bing Xue, et al.
Algorithms (2022) Vol. 15, Iss. 10, pp. 347-347
Open Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

Instantaneous Square Current Signal Analysis for Motors Using Vision Transformer for the Fault Diagnosis of Rolling Bearings
Fei Chen, Xin Zhou, Binbin Xu, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9349-9349
Open Access | Times Cited: 3
Euler Representation-Based Structural Balance Discriminant Projection for Machinery Fault Diagnosis
Maoyan Zhang, Yanmin Zhu, Shuzhi Su, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 307-307
Open Access | Times Cited: 2
Predictive Analytics-Based Methodology Supported by Wireless Monitoring for the Prognosis of Roller-Bearing Failure
Ernesto Primera, Daniel Fernández, Andrés Cacereño, et al.
Machines (2024) Vol. 12, Iss. 1, pp. 69-69
Open Access
A fault diagnosis method for railway turnout systems based on Convolution Transformer through data augmentation
Yingguo Fu, Zhongqun Yang, Linfeng Li, et al.
Research Square (Research Square) (2024)
Open Access
Robust Fault Diagnostics of Industrial Motors: The Signal-to-Image Approaches for Sensor Data Using Multi-Task Transformers with Diverse Attention Mechanism
S. Mukhopadhyay, Indrajit Kar, Zonunfeli Ralte
(2024), pp. 129-134
Closed Access
Bearing fault detection using a method involving absolute value spectrum and impulsivity evaluation
Karim Bouaouiche, Yamina Menasria, Dalila Khalfa
Diagnostyka (2024) Vol. 25, Iss. 2, pp. 1-9
Open Access
A Bearing Signal Adaptive Denoising Technique Based on Manifold Learning and Genetic Algorithm
Jiancheng Yin, Xuye Zhuang, Wentao Sui, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20758-20768
Closed Access
Swash-Plate Bearing Fault Diagnosis Method Based on Improved One-Dimensional Convolutional Neural Network
Tianyang Xiong, Xinmin Li, Xianhui Zhang, et al.
(2024), pp. 506-511
Closed Access
Preparation and Performance of a Cr/CrN/TiAlCN Composite Coating on a GCr15 Bearing Steel Surface
Nu Yan, Ziyun Zhu, Yuchuan Cheng, et al.
Coatings (2024) Vol. 14, Iss. 7, pp. 782-782
Open Access
A joint deep learning model for bearing fault diagnosis in noisy environments
Min Ji, C.-C. Chu, Jinghui Yang
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 7, pp. 3265-3281
Closed Access
An Intelligent diagnosis method for rolling bearings based on Ghost module and adaptive weighting module
Qiang Ruiru, Xiaoqiang Zhao
Multimedia Tools and Applications (2024)
Closed Access
Classification of Rotor Imbalance in Trains Using Airborne Sound With Real-World Data
Matthias Kreuzer, David Schmidt, Simon Wokusch, et al.
(2024), pp. 138-145
Closed Access
A New Rolling Bearing Work Condition Monitoring Method Based on Back Propagation Network
Qilu Wu, Yuxi Chen, Wenxin Hu
(2024), pp. 26-37
Closed Access
A Hybrid Method for Fault Diagnosis of Rolling Bearings
Yuchen He, Husheng Fang, Jiqing Luo, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125012-125012
Open Access
Learn Then Adapt: A Novel Test-Time Adaptation Method for Cross-Domain Fault Diagnosis of Rolling Bearings
Wei Li, Yan Chen, Jiazhu Li, et al.
Electronics (2024) Vol. 13, Iss. 19, pp. 3898-3898
Open Access
Research on fault diagnosis and feature extraction mechanism visualization of rotating machinery based on improved 1D CNN
Pengfei Pang, Jian Tang, Ting Rui, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 10
Open Access
A Comprehensive Review of Remaining Useful Life Estimation Approaches for Rotating Machinery
Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5538-5538
Open Access
Pmpeigram: An Index-Fused Autogram Approach for Bearing Diagnosis in High-Noise and Weak Fault Scenarios
Xiaoli Zhang, Han Han, Yong Xiao, et al.
(2024)
Closed Access
Fault diagnosis in electric machines and propellers for electrical propulsion aircraft: A review
Leonardo Duarte Milfont, Gabriela Torllone de Carvalho Ferreira, Mateus Giesbrecht
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109577-109577
Closed Access
A fault diagnosis method for rotating machinery in nuclear power plants based on long short-term memory and temporal convolutional networks
Pengfei Wang, Yide Liu, Zheng Liu
Annals of Nuclear Energy (2024) Vol. 213, pp. 111092-111092
Closed Access
An Intelligent diagnosis method for rolling bearings based on Ghost module and adaptive weighting module
Ruiru Qiang, Xiaoqiang Zhao
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
Matthias Kreuzer, David Schmidt, Simon Wokusch, et al.
(2023), pp. 232-238
Open Access | Times Cited: 1
Unknown Fault Detection of Rolling Bearing Based on Similarity Mining of Stationary and Non-stationary Features
R.W. Li, Jie Nie, Chenglong Wang, et al.
(2023), pp. 41-49
Closed Access | Times Cited: 1
Rolling Bearing Fault Diagnosis based on ICEEMDAN-WTATD-DaSqueezeNet
Zhiqiang Geng, Kui Yuan, Bo Ma, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2023) Vol. 15, pp. 1510-1515
Closed Access
Research on Unsupervised Fault Diagnosis based on Sparse Autoencoder and Locally Linear Embedding
Yichen Li, Guangye Liu, Wei Zeng, et al.
(2023), pp. 1-4
Closed Access

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