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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:

Advanced Signal Processing Methods for Condition Monitoring
René Jaroš, Radek Byrtus, Jakub Dohnal, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1553-1577
Open Access | Times Cited: 25

Showing 25 citing articles:

An In-Depth Study of Vibration Sensors for Condition Monitoring
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Sensors (2024) Vol. 24, Iss. 3, pp. 740-740
Open Access | Times Cited: 21
AIoT-driven multi-source sensor emission monitoring and forecasting using multi-source sensor integration with reduced noise series decomposition
Mughair Aslam Bhatti, Zhiyao Song, Uzair Aslam Bhatti, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Research progress on oil-immersed transformer mechanical condition identification based on vibration signals
Yongteng Sun, Hongzhong Ma
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114327-114327
Closed Access | Times Cited: 8
Toward Physics-Informed Machine-Learning-Based Predictive Maintenance for Power Converters—A Review
Youssof Fassi, Vincent Heiries, J. Boutet, et al.
IEEE Transactions on Power Electronics (2023) Vol. 39, Iss. 2, pp. 2692-2720
Closed Access | Times Cited: 18
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6
Advances in Acoustic Emission Monitoring for Grinding of Hard and Brittle Materials
Zhiqi Fan, Chengwei Kang, Xuliang Li, et al.
Journal of Materials Research and Technology (2025)
Open Access
Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis
Minh Ly Duc, Petr Bilík, Radek Martínek
IEEE Access (2023) Vol. 11, pp. 40591-40607
Open Access | Times Cited: 14
Harmonic Mitigation Using Meta-Heuristic Optimization for Shunt Adaptive Power Filters: A Review
Minh Ly Duc, Lukas Hlavaty, Petr Bilík, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 3998-3998
Open Access | Times Cited: 12
Design and implementation of an interactive networked condition monitoring strategy for plant-wide production equipment toward Industry 4.0
Hui Xiao, Hong Zhou, Wenshan Hu, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124376-124376
Closed Access | Times Cited: 4
Comparative analysis of different machine vision algorithms for tool wear measurement during machining
Mayur A. Makhesana, Prashant J. Bagga, Kaushik M. Patel, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives
Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1680-1680
Open Access
A hybrid chimp optimization algorithm and generalized normal distribution algorithm with opposition-based learning strategy for solving data clustering problems
Sayed Pedram Haeri Boroujeni, Elnaz Pashaei
Iran Journal of Computer Science (2023) Vol. 7, Iss. 1, pp. 65-101
Open Access | Times Cited: 11
Remaining useful life estimation of ball-bearings based on motor current signature analysis
Miguel Angel Bermeo-Ayerbe, Vincent Cocquempot, Carlos Ocampo‐Martínez, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109209-109209
Closed Access | Times Cited: 11
Condition Monitoring and Fault Detection in Small Induction Motors Using Machine Learning Algorithms
Sayedabbas Sobhi, MohammadHossein Reshadi, Nick Zarft, et al.
Information (2023) Vol. 14, Iss. 6, pp. 329-329
Open Access | Times Cited: 11
Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Data (2024) Vol. 9, Iss. 5, pp. 69-69
Open Access | Times Cited: 3
Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach
Lesego Senjoba, Hajime Ikeda, Hisatoshi Toriya, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3621-3621
Open Access | Times Cited: 3
Sensors and Integrated Electronic Circuits for Monitoring Machinery On Wastewater Treatment: Artificial Intelligence Approach.
Danilo Pratticò, Filippo Laganá, Giuseppe Oliva, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 3
Effective Diagnosis Approach for Broken Rotor Bar Fault Using Bayesian-based Optimization of Machine Learning Hyperparameters
Mohammed Bachir Bechiri, Abderrahim Allal, Naoui Mohamed, et al.
IEEE Access (2024) Vol. 12, pp. 139923-139936
Open Access | Times Cited: 2
A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography
Omar Trejo-Chavez, Irving A. Cruz‐Albarran, Emmanuel Resendiz‐Ochoa, et al.
Machines (2023) Vol. 11, Iss. 7, pp. 752-752
Open Access | Times Cited: 6
Fault Diagnosis and Condition Monitoring in Wave Energy Converters: A Review
Seyed Abolfazl Mortazavizadeh, Reza Yazdanpanah, David Campos‐Gaona, et al.
Energies (2023) Vol. 16, Iss. 19, pp. 6777-6777
Open Access | Times Cited: 5
Chaotic biomedical time signal analysis via wavelet scattering transform
Agnieszka Szczȩsna, Dariusz Augustyn, Henryk Josiński, et al.
Journal of Computational Science (2023) Vol. 72, pp. 102080-102080
Open Access | Times Cited: 4
Real-Time Current-Based Distributed Bearing Faults Detection in Small Cooling Fan Motors
Mojtaba Afshar, Chen Li, Bilal Akin
IEEE Transactions on Industry Applications (2023) Vol. 60, Iss. 2, pp. 3188-3199
Closed Access | Times Cited: 2
AdaClass filter and its application in bearing fault diagnosis
Hanyu Zhang, Yuntao Li, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045033-045033
Open Access
Multiple Electromechanical-Failure Detection in Induction Motor Using Thermographic Intensity Profile and Artificial Neural Network
Emmanuel Resendiz‐Ochoa, Salvador Calderon‐Uribe, Luis A. Morales-Hernández, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 928-928
Open Access
A review of various techniques for vibration signal analysis to diagnose the faults of electric motors: Advantages and drawbacks
Ammar A. Al-Hamadani, Ali R Ibrahim, Mohammed K Al-Obaidi, et al.
Global Journal of Engineering and Technology Advances (2023) Vol. 16, Iss. 3, pp. 179-185
Open Access
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