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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:

Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images
Anurag Choudhary, Tauheed Mian, Shahab Fatima
Measurement (2021) Vol. 176, pp. 109196-109196
Closed Access | Times Cited: 225

Showing 1-25 of 225 citing articles:

Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation
Haidong Shao, Wei Li, Baoping Cai, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 9, pp. 9933-9942
Closed Access | Times Cited: 177
CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
Diwang Ruan, Jin Wang, Jianping Yan, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101877-101877
Open Access | Times Cited: 154
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
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
Zidong Yu, Changhe Zhang, Chao Deng
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110534-110534
Closed Access | Times Cited: 54
MgNet: A fault diagnosis approach for multi-bearing system based on auxiliary bearing and multi-granularity information fusion
Jin Deng, Han Liu, Hairui Fang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110253-110253
Closed Access | Times Cited: 46
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data
Dingyi Sun, Yongbo Li, Sixiang Jia, et al.
Information Fusion (2023) Vol. 94, pp. 112-125
Closed Access | Times Cited: 42
Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Alessandro Sabato, Shweta Dabetwar, Nitin Nagesh Kulkarni, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 4672-4684
Closed Access | Times Cited: 42
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
FBS-YOLO: an improved lightweight bearing defect detection algorithm based on YOLOv8
Junjie Li, Meng Cheng
Physica Scripta (2025) Vol. 100, Iss. 2, pp. 025016-025016
Closed Access | Times Cited: 1
Internet of Things (IoT) for masonry structural health monitoring (SHM): Overview and examples of innovative systems
Carmelo Scuro, Francesco Lamonaca, Saverio Porzio, et al.
Construction and Building Materials (2021) Vol. 290, pp. 123092-123092
Closed Access | Times Cited: 91
Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning
Tauheed Mian, Anurag Choudhary, Shahab Fatima
Nondestructive Testing And Evaluation (2022) Vol. 38, Iss. 2, pp. 275-296
Closed Access | Times Cited: 60
Bearing fault diagnosis based on optimal convolution neural network
Yongjian Sun, Shaohui Li
Measurement (2022) Vol. 190, pp. 110702-110702
Closed Access | Times Cited: 57
Revealing prediction of perched cum off-centered wick solar still performance using network based on optimizer algorithm
S. Pavithra, T. Veeramani, S. Sree Subha, et al.
Process Safety and Environmental Protection (2022) Vol. 161, pp. 188-200
Closed Access | Times Cited: 53
Distance to empty soft sensor for ford escape electric vehicle
Ravi Sekhar, Pritesh Shah, Satyam Panchal, et al.
Results in Control and Optimization (2022) Vol. 9, pp. 100168-100168
Closed Access | Times Cited: 53
Passive Thermography Based Bearing Fault Diagnosis Using Transfer Learning With Varying Working Conditions
Anurag Choudhary, Tauheed Mian, Shahab Fatima, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 5, pp. 4628-4637
Closed Access | Times Cited: 48
A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors
Guoguo Wu, T. Y. Yan, Guolai Yang, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8330-8330
Open Access | Times Cited: 46
An efficient diagnosis approach for bearing faults using sound quality metrics
Tauheed Mian, Anurag Choudhary, Shahab Fatima
Applied Acoustics (2022) Vol. 195, pp. 108839-108839
Closed Access | Times Cited: 45
Industrial gearbox fault diagnosis based on multi-scale convolutional neural networks and thermal imaging
Yongbo Li, Xiaoqiang Du, Xianzhi Wang, et al.
ISA Transactions (2022) Vol. 129, pp. 309-320
Closed Access | Times Cited: 44
An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization
Rismaya Kumar Mishra, Anurag Choudhary, AR Mohanty, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 19, pp. 10378-10391
Closed Access | Times Cited: 38
Bearing fault diagnosis method based on multi-source heterogeneous information fusion
Ke Zhang, Tianhao Gao, Huaitao Shi
Measurement Science and Technology (2022) Vol. 33, Iss. 7, pp. 075901-075901
Closed Access | Times Cited: 37
A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations
Ganesh Kumar Balakrishnan, Chong Tak Yaw, Siaw Paw Koh, et al.
Energies (2022) Vol. 15, Iss. 16, pp. 6000-6000
Open Access | Times Cited: 37
Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review
Arslan Ahmed Amin, Muhammad Sajid Iqbal, Muhammad Hamza Shahbaz
Expert Systems with Applications (2023) Vol. 238, pp. 121956-121956
Closed Access | Times Cited: 33
Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations
Zuolu Wang, Dawei Shi, Yuandong Xu, et al.
Measurement (2023) Vol. 222, pp. 113614-113614
Open Access | Times Cited: 30
Machine learning for fault analysis in rotating machinery: A comprehensive review
Oğuzhan Daş, Duygu Bağcı Daş, Derya Birant
Heliyon (2023) Vol. 9, Iss. 6, pp. e17584-e17584
Open Access | Times Cited: 29
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