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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:

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

Showing 1-25 of 29 citing articles:

Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Measurement (2024) Vol. 232, pp. 114658-114658
Closed Access | Times Cited: 30
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
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
Detection of localized bearing faults in PMSMs by means of envelope analysis and wavelet packet transform using motor speed and current signals
Peter Santer, Johannes Reinhard, Antonio Schindler, et al.
Mechatronics (2025) Vol. 106, pp. 103294-103294
Open Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Condition Monitoring of Electric Machines: Modern Frameworks and Data-Driven Methodologies
Wesley Doorsamy
Machines (2025) Vol. 13, Iss. 2, pp. 144-144
Open Access
Artificial Intelligence in Food Manufacturing: A Review of Current Work and Future Opportunities
Mert Canatan, Nasser Alkhulaifi, Nicholas J. Watson, et al.
Food Engineering Reviews (2025)
Closed Access
Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
Sensors (2024) Vol. 24, Iss. 1, pp. 256-256
Open Access | Times Cited: 4
Nonlinear mechanical response analysis and convolutional neural network enabled diagnosis of single-span rotor bearing system
Bing Qian, Yinhui Cai, Yinkang Ran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Research on fault diagnosis of rolling bearing based on improved convolutional neural network with sparrow search algorithm
Min Wan, Yujie Xiao, Jingran Zhang
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Open Access | Times Cited: 2
GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis
Daehee Lee, Hyunseung Choo, Jongpil Jeong
Sensors (2024) Vol. 24, Iss. 15, pp. 4855-4855
Open Access | Times Cited: 2
A Comparative Study of Semi-Supervised Anomaly Detection Methods for Machine Fault Detection
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
PHM Society European Conference (2024) Vol. 8, Iss. 1, pp. 10-10
Open Access | Times Cited: 1
Unsupervised domain adaptive bearing fault diagnosis based on maximum domain discrepancy
Cuixiang Wang, Shengkai Wu, Xing Shao
EURASIP Journal on Advances in Signal Processing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Application of Fuzzy CODAS for the Optimal Selection of Condition Monitoring Equipment in Industrial Rotating Machinery
Ravindra Andukuri, Ch Maheswara Rao
Operations Research Forum (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 1
Intelligent Fault Diagnosis for Tribo-Mechanical Systems by Machine Learning: Multi-Feature Extraction and Ensemble Voting Methods
V. Shandhoosh, Naveen Venkatesh Sridharan, Ganjikunta Chakrapani, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112694-112694
Open Access | Times Cited: 1
SeqInfo-SAWGAN-GP: Adaptive feature extraction from vibration time data under variable operating conditions for imbalanced bearing fault diagnosis
Teng Wang, Zhi Chao Ong, Shin Yee Khoo, et al.
Measurement (2024), pp. 116344-116344
Closed Access | Times Cited: 1
Evaluation of Entropy Analysis as a Fault-Related Feature for Detecting Faults in Induction Motors and Their Kinematic Chain
Arturo Yosimar Jaen-Cuéllar, Juan José Saucedo-Dorantes, David A. Elvira-Ortiz, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1524-1524
Open Access
Effectiveness of time-based methods for the early detection of bearing faults
Hefaidh Hadef, Mohamed Ala Eddine Baia, Mohammed Riadh Mahammedi
(2024), pp. 1-7
Closed Access
Remaining useful life prognostics of bearings based on convolution attention networks and enhanced Transformer
Sun Ning, Jiahui Tang, Xiaoling Ye, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38317-e38317
Open Access
Rotating Machinery Fault Detection Using Support Vector Machine via Feature Ranking
Harry Hoa Huynh, Cheol-Hong Min
Algorithms (2024) Vol. 17, Iss. 10, pp. 441-441
Open Access
The (important) Role of Digital Twins and AI Methods within Predictive Maintenance Strategies
Moritz Baur, Roman Teutsch
Commercial vehicle technology (2024), pp. 322-341
Closed Access
A depthwise separable convolution-based neural network for rolling bearing fault diagnosis
Rong Jiang, Chenxi Wu, Chao Zhong
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 6, pp. 4153-4170
Closed Access
Data-Driven AI Models within a User-Defined Optimization Objective Function in Cement Production
Othonas Manis, Michalis Skoumperdis, Christos Kioroglou, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1225-1225
Open Access
Utilizing Fuzzy CODAS for Optimal Selection of Condition Monitoring Equipment in Industrial Rotating Machinery
Ravindra Andukuri, Maheswara Rao
Research Square (Research Square) (2024)
Open Access
Fault Detection in Harmonic Drive Using Multi-Sensor Data Fusion and Gravitational Search Algorithm
Nan-Kai Hsieh, Tsung-Yu Yu
Machines (2024) Vol. 12, Iss. 12, pp. 831-831
Open Access
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