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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:

Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis
Junfei Du, Xinyu Li, Yiping Gao, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8760-8760
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Continuous Wavelet Transform and CNN for Fault Detection in a Helical Gearbox
Iulian Lupea, Mihaiela Lupea
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 950-950
Open Access | Times Cited: 1
Fault feature signal extraction method for rolling bearings in gas turbine engines based on threshold parameter decision screening
Yundong Sha, Junhao Zhao, Xiaochi Luan, et al.
Measurement (2024) Vol. 231, pp. 114567-114567
Closed Access | Times Cited: 12
A Novel Fault Diagnosis Method Based on SWT and VGG-LSTM Model for Hydraulic Axial Piston Pump
Yong Zhu, Hong Su, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 3, pp. 594-594
Open Access | Times Cited: 20
A Wavelet Transform-Based Transfer Learning Approach for Enhanced Shaft Misalignment Diagnosis in Rotating Machinery
Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 341-341
Open Access
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks
Marc Parziale, Yip Fun Yeung, Kamal Youcef‐Toumi, et al.
Structural Health Monitoring (2025)
Closed Access
Bearing fault diagnosis of variable working conditions based on conditional domain adversarial-joint maximum mean discrepancy
Mingxing Deng, Defan Zhou, J Ão, et al.
The International Journal of Advanced Manufacturing Technology (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
Fault Diagnosis of Rolling Bearings Based on Adaptive Denoising Residual Network
Yiwen Chen, Xinggui Zeng, Haisheng Huang
Processes (2025) Vol. 13, Iss. 1, pp. 151-151
Open Access
A Three-Channel Feature Fusion Approach Using Symmetric ResNet-BiLSTM Model for Bearing Fault Diagnosis
Yingyong Zou, Tao Liu, Xingkui Zhang
Symmetry (2025) Vol. 17, Iss. 3, pp. 427-427
Open Access
Research on a Small-Sample Fault Diagnosis Method for UAV Engines Based on an MSSST and ACS-BPNN Optimized Deep Convolutional Network
Siyu Li, Zichang Liu, Yunbin Yan, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 367-367
Open Access | Times Cited: 3
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
Fault diagnosis of a marine power-generation diesel engine based on the Gramian angular field and a convolutional neural network
Congyue Li, Yihuai Hu, Jiawei Jiang, et al.
Journal of Zhejiang University. Science A (2024) Vol. 25, Iss. 6, pp. 470-482
Closed Access | Times Cited: 3
A Novel Hybrid Technique Combining Improved Cepstrum Pre-Whitening and High-Pass Filtering for Effective Bearing Fault Diagnosis Using Vibration Data
Amirmasoud Kiakojouri, Zudi Lu, Patrick Mirring, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9048-9048
Open Access | Times Cited: 8
A Study of Noise Effect in Electrical Machines Bearing Fault Detection and Diagnosis Considering Different Representative Feature Models
Dimitrios A. Moysidis, Georgios D. Karatzinis, Yiannis S. Boutalis, et al.
Machines (2023) Vol. 11, Iss. 11, pp. 1029-1029
Open Access | Times Cited: 8
A novel time-frequency analysis method for fault diagnosis based on generalized S-transform and synchroextracting transform
Hongwei Wang, Zhiwen Fang, Hongli Wang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036101-036101
Closed Access | Times Cited: 8
A Bearing Fault Diagnosis Method Based on Improved Transfer Component Analysis and Deep Belief Network
Dalin Li, Meiling Ma
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1973-1973
Open Access | Times Cited: 2
Rolling Bearing Residual Useful Life Prediction Model Based on the Particle Swarm Optimization-Optimized Fusion of Convolutional Neural Network and Bidirectional Long–Short-Term Memory–Multihead Self-Attention
Jianzhong Yang, Xinggang Zhang, Song Liu, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2120-2120
Open Access | Times Cited: 2
Bearing Fault Feature Enhancement and Diagnosis Based on Savitzky–Golay Filtering Gramian Angular Field
Zhende Huang, Xuewei Song, Zhiqiang Liao, et al.
IEEE Access (2024) Vol. 12, pp. 87991-88005
Open Access | Times Cited: 1
EffiMultiOrthoBearNet: An Efficient Lightweight Architecture for Bearing Fault Diagnosis
Wenyin Yang, Zepeng Wu, Li Ma, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 3081-3081
Open Access | Times Cited: 1
Unsupervised Learning for Machinery Adaptive Fault Detection Using Wide-Deep Convolutional Autoencoder with Kernelized Attention Mechanism
Hao Yan, X.T. Si, Jianqiang Liang, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8053-8053
Open Access | Times Cited: 1
Time-Frequency Multi-Domain 1D Convolutional Neural Network with Channel-Spatial Attention for Noise-Robust Bearing Fault Diagnosis
Yejin Kim, Young‐Keun Kim
Sensors (2023) Vol. 23, Iss. 23, pp. 9311-9311
Open Access | Times Cited: 4
Fault Diagnosis of Rotating Machinery under Complex Conditions Based on Multi-Scale Convolutional Neural Networks
Jing Kang, Yuting Luo, Peng Wang, et al.
Journal of Physics Conference Series (2023) Vol. 2658, Iss. 1, pp. 012038-012038
Open Access | Times Cited: 2
Lightweight Ghost Enhanced Feature Attention Network: An Efficient Intelligent Fault Diagnosis Method under Various Working Conditions
Huaihao Dong, Kai Zheng, Siguo Wen, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3691-3691
Open Access
An Intelligent Compound Fault Diagnosis Method Using Generalized Zero-shot Model of Bearing
Jian Cen, Bichuang Zhao, Xi Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096134-096134
Closed Access
Failure Mode Classification for Rolling Element Bearings Using Time-Domain Transformer-Based Encoder
Vu Tri Minh, Motoaki Hiraga, Nanako MIURA, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3953-3953
Open Access
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