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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 Based Bearing Fault Diagnosis Using the Case Western Reserve University Data: A Review
Xiao Zhang, Boyang Zhao, Yun Lin
IEEE Access (2021) Vol. 9, pp. 155598-155608
Open Access | Times Cited: 96

Showing 51-75 of 96 citing articles:

Power Equipment Fault Diagnosis Method Based on Energy Spectrogram and Deep Learning
Yiyang Liu, Fei Li, Qingbo Guan, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7330-7330
Open Access | Times Cited: 5
Fault Diagnosis for Rolling Bearings Based on Recurrence Plot and Convolutional Neural Network
Yu Tian, Jingjing Huang, Ying Sun
(2023), pp. 335-340
Closed Access | Times Cited: 2
A bearing fault diagnosis method for high-noise and unbalanced dataset
Rui Wang, Shunjie Zhang, Shengqiang Liu, et al.
Smart and Resilient Transport (2022) Vol. 5, Iss. 1, pp. 28-45
Open Access | Times Cited: 3
Computational Intelligence for Detection of Bearing Faults in Permanent Magnet Synchronous Motor Using Current Signal
G Geetha, P. Geethanjali
(2024)
Closed Access
Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN
Zahoor Ahmad, Muhammad Siddique, Niamat Ullah, et al.
Lecture notes in computer science (2024), pp. 162-170
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Research on bearing fault diagnosis technology based on machine learning
Xia Yu, Xiaojun Guo, ErChuan Su, et al.
International Journal of Industrial Optimization (2024), pp. 45-59
Open Access
Anomaly Detection in Smart-Manufacturing Era: A Review
Iñaki Elía, Miguel Pagola
(2024)
Closed Access
Fault Diagnosis of Harmonic Drives based on Markov Field Graph Information
Shulei Huang, Xinhao Guo, Zhuo Long, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19891-19900
Closed Access
Multi-location fault detection with piezoelectric arrays and multi-task CNN learning
Yu‐Cheng Chiu, Yu‐Cheng Lo, Yi-Chung Shu
(2024), pp. 48-48
Closed Access
ICEEMDAN and LSTM Spindle System Fault Diagnosis Method
Nan Wang, Hongjun Wang, Zhuangzhuang Zhang, et al.
Mechanisms and machine science (2024), pp. 819-833
Closed Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformers Based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed Khan, Muhammad Usman Akram, Muazzam A. Khan, et al.
(2024)
Closed Access
BROKEN MAGNETS FAULT DETECTION IN PMSM USING A CONVOLUTIONAL NEURAL NETWORK AND SVM
Said Benkaihoul, Lakhdar Mazouz, Toufik Tayeb Naas, et al.
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (2024) Vol. 10, Iss. 48
Open Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
SFS-PSO: An Improved Data Preprocessing Approach in Fault Diagnosis under Variable Working Conditions
Fang‐Lue Zhang, Rui Yang
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 727-732
Closed Access
A Semantic-Consistent Conditional Generative Adversarial Model for Zero-Shot Learning In Bearing Fault Diagnosis
Jizheng Chen, Rui Yang
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 1044-1049
Closed Access
CNN-ELMNet: Fault Diagnosis of Induction Motor Bearing Based on Cross-modal Vector Fusion
Lingzhi Yi, Yi Zhang, Jun Zhan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 115114-115114
Closed Access
The impact of random parameter distribution on RVFL model performance in bearing fault diagnosis
Junliang Li, Jingna Liu, Bin Ren
International Journal of Machine Learning and Cybernetics (2024)
Open Access
Enhancing Fault Diagnosis in IoT Sensor Data through Advanced Preprocessing Techniques
Sang-Ha Sung, Soon-Goo Hong, Hyung‐Rim Choi, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3289-3289
Open Access
Support Vector Machine-Based Fault Diagnosis under Data Imbalance with Application to High-Speed Train Electric Traction Systems
Yunkai Wu, Tianxiang Ji, Yang Zhou, et al.
Machines (2024) Vol. 12, Iss. 8, pp. 582-582
Open Access
Cross-Modal Hyperbolic Subspace Fault Diagnosis
Shuzhi Su, Mengjie Xu, Jian Chen, et al.
(2024) Vol. 70, pp. 276-279
Closed Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformer based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e38993-e38993
Open Access
Localized Bearing Fault Analysis for Different Induction Machine Start-Up Modes via Vibration Time–Frequency Envelope Spectrum
José E. Ruiz-Sarrió, Jose A. Antonino‐Daviu, Claudia Marțiș
Sensors (2024) Vol. 24, Iss. 21, pp. 6935-6935
Open Access
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
Khoa D. Tran, Lam Pham, Nguyễn Văn Anh, et al.
Research Square (Research Square) (2024)
Open Access
Graph-Based Feature Engineering for Enhanced Machine Learning in Rolling Element Bearing Fault Diagnosis
Seyed Mohammad Hosseini, Abolfazl Dibaji, Sadegh Sulaimany
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045234-045234
Closed Access

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