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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 Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors
Rafia Nishat Toma, Farzin Piltan, Jong-Myon Kim
Sensors (2021) Vol. 21, Iss. 24, pp. 8453-8453
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Time-to-Fault Prediction Framework for Automated Manufacturing in Humanoid Robotics Using Deep Learning
Aida Ali, Hossam Kamal
Technologies (2025) Vol. 13, Iss. 2, pp. 42-42
Open Access | Times Cited: 2
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 40
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 10
Bearing Fault Diagnosis Based on VMD and Improved CNN
Zhenzhen Jin, Chen Diao, Deqiang He, et al.
Journal of Failure Analysis and Prevention (2022) Vol. 23, Iss. 1, pp. 165-175
Closed Access | Times Cited: 37
Convolutional-neural-network-based multi-signals fault diagnosis of induction motor using single and multi-channels datasets
Manar Abdelmaksoud, Marwan Torki, Mohamed El-Habrouk, et al.
Alexandria Engineering Journal (2023) Vol. 73, pp. 231-248
Open Access | Times Cited: 19
Self-supervised feature extraction via time–frequency contrast for intelligent fault diagnosis of rotating machinery
Yang Liu, Weigang Wen, Yihao Bai, et al.
Measurement (2023) Vol. 210, pp. 112551-112551
Closed Access | Times Cited: 16
State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions
Siddique Akbar, Toomas Vaimann, Bilal Asad, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6345-6345
Open Access | Times Cited: 16
Review on prognostics and health management in smart factory: From conventional to deep learning perspectives
Prashant Kumar, Izaz Raouf, Heung Soo Kim
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107126-107126
Closed Access | Times Cited: 16
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features
Rafia Nishat Toma, Yangde Gao, Farzin Piltan, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8958-8958
Open Access | Times Cited: 22
Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques
Muhammad Usman Sardar, Toomas Vaimann, Lauri Kütt, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5628-5628
Open Access | Times Cited: 14
Industrial Fault Detection Employing Meta Ensemble Model Based on Contact Sensor Ultrasonic Signal
Amirhossein Moshrefi, Hani H. Tawfik, Mohannad Y. Elsayed, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2297-2297
Open Access | Times Cited: 5
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions
Rafia Nishat Toma, Farzin Piltan, Kichang Im, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4881-4881
Open Access | Times Cited: 20
A Disentangled VAE-BiLSTM Model for Heart Rate Anomaly Detection
Alessio Staffini, Thomas Svensson, Ung‐il Chung, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 683-683
Open Access | Times Cited: 10
Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network
Hong‐Chan Chang, Yi-Che Wang, Yu-Yang Shih, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 4080-4080
Open Access | Times Cited: 15
Diagnostic and Prognostic Health Management of Electric Vehicle Powertrains: An Empirical Methodology for Induction Motor Analysis
Hicham El Hadraoui, Oussama Laayati, Adila El Maghraoui, et al.
(2023), pp. 153-158
Closed Access | Times Cited: 7
Diagnostic and Prognostic Health Management of Electric Vehicle Powertrains : A Data Driven Approach for Induction Motor
Hicham El Hadraoui, Oussama Laayati, Adila El Maghraoui, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 7
Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis
Xiu Yin, Xiyu Liu, Minghe Sun, et al.
Entropy (2022) Vol. 24, Iss. 10, pp. 1385-1385
Open Access | Times Cited: 11
High Angular Resolution Method Based on Deep Learning for FMCW MIMO Radar
Minh Q. Nguyen, Reinhard Feger, Thomas Wagner, et al.
IEEE Transactions on Microwave Theory and Techniques (2023) Vol. 71, Iss. 12, pp. 5413-5427
Open Access | Times Cited: 6
Hybrid Feature Selection Framework for Bearing Fault Diagnosis Based on Wrapper-WPT
Andrei S. Maliuk, Zahoor Ahmad, Jong-Myon Kim
Machines (2022) Vol. 10, Iss. 12, pp. 1204-1204
Open Access | Times Cited: 9
A comprehensive review of mechanical fault diagnosis methods based on convolutional neural network
Junjian Hou, Xikang Lu, Yudong Zhong, et al.
Journal of Vibroengineering (2023) Vol. 26, Iss. 1, pp. 44-65
Open Access | Times Cited: 5
Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance
Marcel Hoffmann, Rainer Lasch
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-33
Closed Access | Times Cited: 4
Optimization of Practicality for Modeling- and Machine Learning-Based Framework for Early Fault Detection of Induction Motors
Moritz Benninger, Marcus Liebschner
Energies (2024) Vol. 17, Iss. 15, pp. 3723-3723
Open Access | Times Cited: 1
Improved Fault Detection Using Shifting Window Data Augmentation of Induction Motor Current Signals
Robert Wright, Poria Fajri, Xingang Fu, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3956-3956
Open Access | Times Cited: 1
Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder
Md. Nazmul Hasan, Sana Ullah Jan, Insoo Koo
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7717-7717
Open Access | Times Cited: 1
Stacked supervised auto-encoder with graph regularization for feature extraction and fault classification in chemical processes
Dazi Li, Jianxun Liu, Xin Ma, et al.
Journal of Process Control (2023) Vol. 127, pp. 102999-102999
Closed Access | Times Cited: 3
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