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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:

Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Purushottam Gangsar, Rajiv Tiwari
Mechanical Systems and Signal Processing (2020) Vol. 144, pp. 106908-106908
Closed Access | Times Cited: 422

Showing 1-25 of 422 citing articles:

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 368
Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network
Tingli Xie, Xufeng Huang, Seung-Kyum Choi
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 5, pp. 3213-3223
Closed Access | Times Cited: 163
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection
Sandaram Buchaiah, Piyush Shakya
Measurement (2021) Vol. 188, pp. 110506-110506
Closed Access | Times Cited: 139
Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor
Anurag Choudhary, Rismaya Kumar Mishra, Shahab Fatima, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105872-105872
Closed Access | Times Cited: 90
Motor Fault Diagnostics Based on Current Signatures: A Review
Gang Niu, Xun Dong, Yuejian Chen
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-19
Closed Access | Times Cited: 70
A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis
Chao Zhao, Weiming Shen
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 108990-108990
Closed Access | Times Cited: 68
Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
Wonho Jung, Seong-Hu Kim, Sung-Hyun Yun, et al.
Data in Brief (2023) Vol. 48, pp. 109049-109049
Open Access | Times Cited: 49
A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern
Pengcheng Xia, Yixiang Huang, Zhiyu Tao, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109256-109256
Closed Access | Times Cited: 42
Novel Ramanujan Digital Twin for Motor Periodic Fault Monitoring and Detection
Wenyang Hu, Tianyang Wang, Fulei Chu
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 12, pp. 11564-11572
Closed Access | Times Cited: 41
Optimized multivariate multiscale slope entropy for nonlinear dynamic analysis of mechanical signals
Yuxing Li, Bingzhao Tang, Shangbin Jiao, et al.
Chaos Solitons & Fractals (2023) Vol. 179, pp. 114436-114436
Closed Access | Times Cited: 40
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
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: 18
Diagnosis and root cause analysis of bearing failure using vibration analysis techniques
Davood Tahmasbi, Hossein Shirali, Seyyed Sajad Mousavi Nejad Souq, et al.
Engineering Failure Analysis (2024) Vol. 158, pp. 107954-107954
Closed Access | Times Cited: 17
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
Comprehensive Dataset for Fault Detection and Diagnosis in Inverter-Driven Permanent Magnet Synchronous Motor Systems
Abdelkabir Bacha, Ramzi El Idrissi, Khalid Idrissi, et al.
Data in Brief (2025) Vol. 58, pp. 111286-111286
Open Access | Times Cited: 1
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: 1
Condition Monitoring and Fault Diagnosis of Induction Motor
Swapnil Gundewar, Prasad V. Kane
Journal of Vibration Engineering & Technologies (2020) Vol. 9, Iss. 4, pp. 643-674
Closed Access | Times Cited: 119
Motor fault diagnosis using attention mechanism and improved adaboost driven by multi-sensor information
Zhuo Long, Xiaofei Zhang, Li Zhang, et al.
Measurement (2020) Vol. 170, pp. 108718-108718
Closed Access | Times Cited: 91
CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions
Hairui Fang, Jin Deng, Yaoxu Bai, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-8
Closed Access | Times Cited: 91
Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples
Daoguang Yang, Hamid Reza Karimi, Kangkang Sun
Neural Networks (2021) Vol. 141, pp. 133-144
Closed Access | Times Cited: 89
Data-Driven Fault Diagnosis for Electric Drives: A Review
David Gonzalez-Jimenez, Jon del Olmo, Javier Poza, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4024-4024
Open Access | Times Cited: 78
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review
Vikas Singh, Purushottam Gangsar, Rajkumar Porwal, et al.
Journal of Intelligent Manufacturing (2021) Vol. 34, Iss. 3, pp. 931-960
Closed Access | Times Cited: 75
A Review of Total Harmonic Distortion Factors for the Measurement of Harmonic and Interharmonic Pollution in Modern Power Systems
Angel Arranz-Gimon, Ángel Zorita-Lamadrid, Daniel Moríñigo-Sotelo, et al.
Energies (2021) Vol. 14, Iss. 20, pp. 6467-6467
Open Access | Times Cited: 66
Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach
Izaz Raouf, Hyewon Lee, Heung Soo Kim
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 417-433
Open Access | Times Cited: 66
Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series
Gabriel Michau, Gaëtan Frusque, Olga Fink
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 8
Open Access | Times Cited: 59
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