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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:

Fault Diagnosis of Wheelset Bearings in High-Speed Trains Using Logarithmic Short-Time Fourier Transform and Modified Self-Calibrated Residual Network
Ge Xin, Zhe Li, Limin Jia, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 10, pp. 7285-7295
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins, Alexander Sommers, Somayeh Bakhtiari Ramezani, et al.
IEEE Access (2024) Vol. 12, pp. 57574-57602
Open Access | Times Cited: 17
Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis
Tianfu Li, Chuang Sun, Sinan Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8535-8548
Closed Access | Times Cited: 45
MMFNet: Multisensor Data and Multiscale Feature Fusion Model for Intelligent Cross-Domain Machinery Fault Diagnosis
Yongchao Zhang, Ke Feng, Hui Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 40
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109387-109387
Open Access | Times Cited: 33
Bearing fault diagnosis based on CNN-BiLSTM and residual module
Guanghua Fu, Qingjuan Wei, Yongsheng Yang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125050-125050
Closed Access | Times Cited: 32
Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network
Deqiang He, Zhenpeng Lao, Zhenzhen Jin, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 14901-14924
Closed Access | Times Cited: 31
Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis
Tianfu Li, Chuang Sun, Olga Fink, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 1, pp. 506-518
Open Access | Times Cited: 29
Semi-supervised fault diagnosis of wheelset bearings in high-speed trains using autocorrelation and improved flow Gaussian mixture model
Jiayi Wu, Yilei Li, Limin Jia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107861-107861
Closed Access | Times Cited: 9
A review of artificial intelligence applications in high-speed railway systems
Xuehan Li, Minghao Zhu, Boyang Zhang, et al.
High-speed Railway (2024) Vol. 2, Iss. 1, pp. 11-16
Open Access | Times Cited: 8
A novel empirical random feature decomposition method and its application to gear fault diagnosis
Feng Liu, Junsheng Cheng, Niaoqing Hu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102394-102394
Closed Access | Times Cited: 6
Adaptive time series representation for out-of-round railway wheels fault diagnosis in wayside monitoring
Afonso Lourenço, Carolina Ferraz, Diogo Ribeiro, et al.
Engineering Failure Analysis (2023) Vol. 152, pp. 107433-107433
Open Access | Times Cited: 14
Health Monitoring of Milling Tool Inserts Using CNN Architectures Trained by Vibration Spectrograms
S. S. Patil, Sujit S. Pardeshi, Abhishek D. Patange
Computer Modeling in Engineering & Sciences (2023) Vol. 136, Iss. 1, pp. 177-199
Open Access | Times Cited: 13
Vibration-based bearing fault diagnosis of high-speed trains: A literature review
Wanchun Hu, Ge Xin, Jiayi Wu, et al.
High-speed Railway (2023) Vol. 1, Iss. 4, pp. 219-223
Open Access | Times Cited: 13
An interpretable multiplication-convolution residual network for equipment fault diagnosis via time–frequency filtering
Rui Liu, Xiaoxi Ding, Yimin Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102421-102421
Closed Access | Times Cited: 5
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 5
Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network
Haitao Wang, Mingjun Li, Zelin Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5399-5413
Closed Access | Times Cited: 4
Autonomous Bearing Fault Diagnosis Based on Fault-Induced Envelope Spectrum and Moving Peaks-Over-Threshold Approach
Ge Xin, Qitian Zhong, Yaqiang Jin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 4
Complex Symplectic Geometry Mode Decomposition and A Novel Time-Frequency Fault Feature Extraction Method
Ge Xin, Yifei Chen, Lingfeng Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-10
Closed Access
Learning sparse convolutional neural networks through filter pruning for efficient fault diagnosis on edge devices
Gaowei Xu, Yukai Zhao, Min Liu
Nondestructive Testing And Evaluation (2025), pp. 1-23
Closed Access
Integrating vibration signal analysis and image embedding for enhanced bearing fault diagnosis in manufacturing
Yongmin Kim, Hyunsoo Yoon
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A novel random spectral similar component decomposition method and its application to gear fault diagnosis
Feng Liu, Junsheng Cheng, Niaoqing Hu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111032-111032
Closed Access | Times Cited: 9
A Hybrid Physics-Based and Data-Driven Approach for Monitoring of Inverter-Fed Machine Stator Insulation Degradations Using Switching Oscillations
Hao Li, Junjie Yu, Dawei Xiang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9527-9538
Closed Access | Times Cited: 3
A Multiattribute Learning Model for Zero-Sample Mechanical Fault Diagnosis
Li Cai, Hongpeng Yin, Jingdong Lin, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9633-9643
Closed Access | Times Cited: 3
A Data-Driven Framework for Verified Detection of Replay Attacks on Industrial Control Systems
Sara Gargoum, Negar Yassaie, Ahmad W. Al-Dabbagh, et al.
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 3400-3415
Closed Access | Times Cited: 3
A model-data combination driven digital twin model for few samples fault diagnosis of rolling bearings
Huaitao Shi, Tianyi Yang, Yunjian Hu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095103-095103
Closed Access | Times Cited: 3
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