Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
Omar AlShorman, Muhammad Irfan, Nordin Saad, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-20
Open Access | Times Cited: 159

Showing 1-25 of 159 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 281
Mel Frequency Cepstral Coefficient and its Applications: A Review
Zrar Kh. Abdul, Abdulbasit K. Al‐Talabani
IEEE Access (2022) Vol. 10, pp. 122136-122158
Open Access | Times Cited: 171
Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
Omar AlShorman, Fahad Alkahatni, Mahmoud Masadeh, et al.
Advances in Mechanical Engineering (2021) Vol. 13, Iss. 2
Closed Access | Times Cited: 139
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 122
A Novel Advancing Signal Processing Method Based on Coupled Multi-Stable Stochastic Resonance for Fault Detection
Hongjiang Cui, Ying Guan, Huayue Chen, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5385-5385
Open Access | Times Cited: 112
Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review
Mohamad Hazwan Mohd Ghazali, Wan Rahiman
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 105
Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach
Minh‐Quang Tran, Mohammed Amer, Alya’ Dababat, et al.
Measurement (2022) Vol. 207, pp. 112398-112398
Closed Access | Times Cited: 82
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105794-105794
Closed Access | Times Cited: 82
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
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
Thermographic Fault Diagnosis of Ventilation in BLDC Motors
Adam Głowacz
Sensors (2021) Vol. 21, Iss. 21, pp. 7245-7245
Open Access | Times Cited: 80
Intelligent technologies for construction machinery using data-driven methods
Zhe Zheng, Fei Wang, Guofang Gong, et al.
Automation in Construction (2022) Vol. 147, pp. 104711-104711
Closed Access | Times Cited: 52
Review of interpretable machine learning for process industries
A. Carter, Syed Imtiaz, G.F. Naterer
Process Safety and Environmental Protection (2022) Vol. 170, pp. 647-659
Closed Access | Times Cited: 48
A neural network compression method based on knowledge-distillation and parameter quantization for the bearing fault diagnosis
Mengyu Ji, Gaoliang Peng, Sijue Li, et al.
Applied Soft Computing (2022) Vol. 127, pp. 109331-109331
Closed Access | Times Cited: 46
An integrated framework via key-spectrum entropy and statistical properties for bearing dynamic health monitoring and performance degradation assessment
Renhe Yao, Hongkai Jiang, Chunxia Yang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109955-109955
Closed Access | Times Cited: 41
Artificial intelligence in the diagnosis of multiple sclerosis: A systematic review
Fardin Nabizadeh, Soroush Masrouri, Elham Ramezannezhad, et al.
Multiple Sclerosis and Related Disorders (2022) Vol. 59, pp. 103673-103673
Open Access | Times Cited: 39
Bearing fault diagnosis using time segmented Fourier synchrosqueezed transform images and convolution neural network
Swapnil Gundewar, Prasad V. Kane
Measurement (2022) Vol. 203, pp. 111855-111855
Closed Access | Times Cited: 38
Transfer learning based fault diagnosis of automobile dry clutch system
Ganjikunta Chakrapani, V. Sugumaran
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105522-105522
Closed Access | Times Cited: 38
Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106092-106092
Closed Access | Times Cited: 38
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107063-107063
Closed Access | Times Cited: 26
A New Method for Diagnosing Motor Bearing Faults Based on Gramian Angular Field Image Coding and Improved CNN-ELM
Yuhan Zhang, Lei Shang, Haibo Gao, et al.
IEEE Access (2023) Vol. 11, pp. 11337-11349
Open Access | Times Cited: 24
Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors
Omar AlShorman, Muhammad Irfan, Ra’ed Bani Abdelrahman, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107724-107724
Open Access | Times Cited: 24
Industrial safety management in the digital era: Constructing a knowledge graph from near misses
Francesco De Simone, Silvia Ansaldi, Patrizia Agnello, et al.
Computers in Industry (2023) Vol. 146, pp. 103849-103849
Closed Access | Times Cited: 23
DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction
Lei Ren, Haiteng Wang, Gao Huang
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 5942-5952
Closed Access | Times Cited: 23
Towards a deep learning-based unified approach for structural damage detection, localisation and quantification
Luca Lomazzi, Marco Giglio, Francesco Cadini
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106003-106003
Closed Access | Times Cited: 22
Page 1 - Next Page

Scroll to top