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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:

Bearing fault detection under time-varying speed based on empirical wavelet transform, cultural clan-based optimization algorithm, and random forest classifier
Moussaoui Imane, Chemseddine Rahmoune, Mohamed Zair, et al.
Journal of Vibration and Control (2021) Vol. 29, Iss. 1-2, pp. 286-297
Closed Access | Times Cited: 18

Showing 18 citing articles:

Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery
Dongdong Liu, Lingli Cui, Gang Wang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 15
A fault diagnosis method of rotating machinery based on improved multiscale attention entropy and random forests
Fei Chen, Liyao Zhang, Wen‐Shen Liu, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 2, pp. 1191-1220
Open Access | Times Cited: 17
Breast Cancer Prediction using Machine Learning Models
Orlando Iparraguirre-Villanueva, Andrés Epifanía-Huerta, Carmen Torres-Ceclén, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 11
New criteria for wrapper feature selection to enhance bearing fault classification
Mohammed Amine Sahraoui, Chemseddine Rahmoune, Ikhlas Meddour, et al.
Advances in Mechanical Engineering (2023) Vol. 15, Iss. 6
Open Access | Times Cited: 10
Intelligent multi-fault identification and classification of defective bearings in gearbox
Ali Damou, Azeddine Ratni, Djamel Benazzouz
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 4
Open Access | Times Cited: 3
A new health indicator extracted by unsupervised learning using autoencoder in tandem with t-sne and multi-kernel CNN to enhance the early detection and classification of bearings multi-faults
Mohamed Zair, Chemseddine Rahmoune, Moussaoui Imane, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 7
Closed Access | Times Cited: 6
Rolling bearing fault feature selection based on standard deviation and random forest classifier using vibration signals
Moussaoui Imane, Chemseddine Rahmoune, Djamel Benazzouz
Advances in Mechanical Engineering (2023) Vol. 15, Iss. 4, pp. 168781322311685-168781322311685
Open Access | Times Cited: 5
Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier
Chemseddine Rahmoune, Mohammed Amine Sahraoui, Fawzi Gougam, et al.
Advances in Mechanical Engineering (2023) Vol. 15, Iss. 12
Open Access | Times Cited: 5
Rolling Bearing Fault Diagnosis Based on Multi-scale Entropy Feature and Ensemble Learning
Mei Zhang, Zhihui Wang, J.L. Zhang
MANUFACTURING TECHNOLOGY (2024) Vol. 24, Iss. 3, pp. 492-506
Open Access | Times Cited: 1
Multi-fault bearing diagnosis under time-varying conditions using Empirical Wavelet Transform, Gaussian mixture model, and Random Forest classifier
Moussaoui Imane, Chemseddine Rahmoune, Moahmed Zair, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 8
Open Access | Times Cited: 1
A novel optimal resonance band selection method for wheelset-bearing fault diagnosis based on tunable-Q wavelet transform
Tianyu Shi, Jianming Ding, Xia He
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Faults’ Diagnosis of Time-Varying Rotational Speed Machinery Based on Vibration and Acoustic Signals Features Extraction, and Machine Learning Methods
Toufik Bettahar, Chemseddine Rahmoune, Djamel Benazzouz
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 5, pp. 2333-2347
Closed Access | Times Cited: 3
New Cointegration-Based Feature Extraction Technique for Intelligent Bearing Fault Detection Under Time-Varying Speed
Saeed Nezamivand Chegini, Bahman Ahmadi
Arabian Journal for Science and Engineering (2024)
Closed Access
A new fault component selection strategy based on statistical detection for slewing bearing weak signal de-noising
Yubin Pan, Hua Wang, Jie Chen, et al.
Transactions of the Institute of Measurement and Control (2024) Vol. 46, Iss. 11, pp. 2222-2239
Closed Access
Uncertainty-driven dynamic ensemble framework for rotating machinery fault diagnosis under time-varying working conditions
Rupeng Zhu, Enzhe Song, Chong Yao, et al.
Journal of Vibration and Control (2024)
Closed Access
Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units
Fei Chen, Ding Chen, Xiaoxi Hu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110607-110607
Closed Access
Prototype-assisted multiscale graph representation learning-based mechanical fault detection method under complex operating conditions
Wei Xiang, Shujie Liu, Hongkun Li, et al.
Structural Health Monitoring (2024)
Closed Access
Detection of Breast Cancer using Convolutional Neural Networks with Learning Transfer Mechanisms
Victor Guevara-Ponce, Ofelia Roque Paredes, Carlos Zerga-Morales, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 1
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