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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 Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data
Sajal Misra, Satish Kumar, Sameer Sayyad, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8210-8210
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis
Kevin Barrera, Jordi Burriel-Valencia, Ángel Sapena-Bañó, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 471-471
Open Access | Times Cited: 2
LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS)
Jae Seok, Akeem Bayo Kareem, Jang-Wook Hur
Sensors (2023) Vol. 23, Iss. 2, pp. 1009-1009
Open Access | Times Cited: 32
Induction Motor Fault Diagnosis Using Support Vector Machine, Neural Networks, and Boosting Methods
Min‐Chan Kim, Jong-Hyun Lee, Dong-Hun Wang, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2585-2585
Open Access | Times Cited: 29
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
Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection
Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 926-926
Open Access | Times Cited: 5
A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors
Kevin Barrera, Jordi Burriel-Valencia, Ángel Sapena-Bañó, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8196-8196
Open Access | Times Cited: 12
Review of Fault Diagnosis Methods for Induction Machines in Railway Traction Applications
Razan Issa, Guy Clerc, Malorie Hologne-Carpentier, et al.
Energies (2024) Vol. 17, Iss. 11, pp. 2728-2728
Open Access | Times Cited: 4
An Advanced Diagnostic Approach for Broken Rotor Bar Detection and Classification in DTC Controlled Induction Motors by Leveraging Dynamic SHAP Interaction Feature Selection (DSHAP-IFS) GBDT Methodology
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, et al.
Machines (2024) Vol. 12, Iss. 7, pp. 495-495
Open Access | Times Cited: 4
Fault detection in thermocouples: Unveiling anomalies with machine learning and signal processing
Valipi Dinesh Kumar, Anindya Bhattacharyya, R. P. Behera, et al.
Nuclear Engineering and Design (2025) Vol. 435, pp. 113955-113955
Closed Access
Physical Variable Measurement Techniques for Fault Detection in Electric Motors
Sarahi Aguayo-Tapia, Gerardo Avalos-Almazan, Jose Rangel‐Magdaleno, et al.
Energies (2023) Vol. 16, Iss. 12, pp. 4780-4780
Open Access | Times Cited: 10
Vibration Analysis for Predictive Maintenance and Improved Machine Reliability of Electric Motors in Centrifugal Pumps
Fortune Jameson, Emmanuel A. Ubom, Ubong Ukommi
Signals and communication technology (2024), pp. 163-173
Closed Access | Times Cited: 3
Expert System Based on Autoencoders for Detection of Broken Rotor Bars in Induction Motors Employing Start-Up and Steady-State Regimes
Martin Valtierra‐Rodriguez, Jesus Rooney Rivera‐Guillen, J. Jesús de Santiago-Pérez, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 156-156
Open Access | Times Cited: 8
Rotor fault characterization study by considering normalization analysis, feature extraction, and a multi-class classifier
Mücahid Barstuğan, Hayri Arabacı
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025304-025304
Open Access | Times Cited: 2
Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor
Pradeep Katta, K. Karunanithi, S. P. Raja, et al.
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL (2024) Vol. 13, pp. e31616-e31616
Open Access | Times Cited: 2
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
Innovative predictive maintenance for mining grinding mills: from LSTM-based vibration forecasting to pixel-based MFCC image and CNN
Ayoub Rihi, Salah Baïna, Fatima-Zahra Mhada, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 3-4, pp. 1271-1289
Closed Access | Times Cited: 2
Induction Motor Stator Winding Inter-Tern Short Circuit Fault Detection Based on Start-Up Current Envelope Energy
Liting Chen, Jianhao Shen, Gang Xu, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8581-8581
Open Access | Times Cited: 5
Electrical Motor Fault Detection System using AI's Random Forest Classifier Technique
Raziq Yaqub, Hassan Ali, Mohd Helmy Bin Abd Wahab
(2023), pp. 1-5
Closed Access | Times Cited: 4
Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition
Attiq Ur Rehman, Weidong Jiao, Jianfeng Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7109-7109
Open Access | Times Cited: 4
Identification of Optimal Time Domain Features for Machine Learning based Fault Classification
Vehbi Akin, Mutlu Mete
(2024), pp. 1-3
Closed 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
Detection of Broken Bars in Three-Phase Electric Motors Using Current and Vibration Signals
Gabriel Hoyos, J.L. Villa
Communications in computer and information science (2024), pp. 188-199
Closed Access | Times Cited: 1
Enhancing induction machine fault detection through machine learning: Time and frequency analysis of vibration signals
A. Daas, Bilal Sari, Jiajia Jia, et al.
Measurement (2024), pp. 116023-116023
Closed Access | Times Cited: 1
Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals
Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, et al.
(2024)
Open Access
Convolutional-Attention Hybrid Deep-Learning Model With Transfer Learning for Quality Inspection of DC Motors
Wei Xie, Y. Li, Haixiang Wei, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access
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