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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 prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal
Fawzi Gougam, Chemseddine Rahmoune, Djamel Benazzouz, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2020) Vol. 235, Iss. 20, pp. 5186-5197
Closed Access | Times Cited: 20

Showing 20 citing articles:

SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends
Ravi Pandit, Davide Astolfi, Jiarong Hong, et al.
Wind Engineering (2022) Vol. 47, Iss. 2, pp. 422-441
Open Access | Times Cited: 73
Bearing faults classification using a new approach of signal processing combined with machine learning algorithms
Fawzi Gougam, Adel Afia, Abdenour Soualhi, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 2
Closed Access | Times Cited: 9
An adaptive reweighted-Kurtogram for bearing fault diagnosis under strong external impulse noise
Jie Peng, Yumeng Zhao, Xin Zhang, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3336-3351
Closed Access | Times Cited: 9
Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Adel Afia, Fawzi Gougam, Walid Touzout, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 10
Closed Access | Times Cited: 14
Computer numerical control machine tool wear monitoring through a data-driven approach
Fawzi Gougam, Adel Afia, Mohamed Abdessamed Ait Chikh, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 2
Open Access | Times Cited: 5
A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes
Cosmina-Mihaela Roșca, Adrian Stancu
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3758-3758
Open Access
Predictive Wind Turbine Power Analysis Based on SCADA Data and Machine Learning Algorithms
Zouhir Iourzikene, Fawzi Gougam, Djamel Benazzouz
Lecture notes in networks and systems (2025), pp. 32-42
Closed Access
Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms
Adel Afia, Fawzi Gougam, Chemseddine Rahmoune, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 2, pp. 359-378
Closed Access | Times Cited: 10
A Wind Turbine Vibration Monitoring System for Predictive Maintenance Based on Machine Learning Methods Developed under Safely Controlled Laboratory Conditions
David Pérez-Granados, Mauricio Alberto Ortega-Ruíz, Joel Moreira Acosta, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2290-2290
Open Access | Times Cited: 9
Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 3
Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
Ikram Bagri, Karim Tahiry, Aziz Hraiba, et al.
Vibration (2024) Vol. 7, Iss. 4, pp. 1013-1062
Open Access | Times Cited: 3
Rotating machine bearing health prognosis using a data driven approach based on KS‐density and BiLSTM
Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat, et al.
IET Science Measurement & Technology (2024)
Closed Access | Times Cited: 2
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing
Eugenio Brusa, Cristiana Delprete, Luigi Gianpio Di Maggio
Mechanics of Advanced Materials and Structures (2022) Vol. 30, Iss. 22, pp. 4639-4651
Open Access | Times Cited: 9
Gearbox Fault Diagnosis Using REMD, EO and Machine Learning Classifiers
Adel Afia, Fawzi Gougam, Chemseddine Rahmoune, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 4673-4697
Closed Access | Times Cited: 5
CNC milling cutters condition monitoring based on empirical wavelet packet decomposition
Abir Amar Bouzid, Boualem Merainani, Djamel Benazzouz
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 9-10, pp. 4073-4089
Closed Access | Times Cited: 4
Trajectory tracking of binocular vision system for picking robot based on fast non-singular terminal sliding mode control
Y. Chen, Xu Liu, Mengmeng Cheng, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access | Times Cited: 1
Remaining useful life prediction of rolling element bearing based on hybrid drive of data-driven and dynamic model
Jun Ying, Zhaojun Yang, Chuanhai Chen, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022), pp. 095440622211413-095440622211413
Closed Access | Times Cited: 5
Fault Prediction of Bearing Based on Dual Dimensional Perception and Composite Gated Recurrent Network
Wang Wei-ping, Shibei Xue
IEEE Access (2024) Vol. 12, pp. 181509-181520
Open Access
Transient-extracting transform based on non-convex sparse regularization: A useful scheme for bearing fault feature enhancement
Yubo Ma, Yong Lv, Rui Yuan, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 238, Iss. 13, pp. 6082-6102
Closed Access | Times Cited: 1
A Model-Based Prognostic Framework for Electromechanical Actuators Based on Metaheuristic Algorithms
Leonardo Baldo, Ivana Querques, Matteo Davide Lorenzo Dalla Vedova, et al.
Aerospace (2023) Vol. 10, Iss. 3, pp. 293-293
Open Access
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