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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:

A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
Dandan Peng, Zhiliang Liu, Huan Wang, et al.
IEEE Access (2018) Vol. 7, pp. 10278-10293
Open Access | Times Cited: 224

Showing 51-75 of 224 citing articles:

Fault Diagnosis for Supercharged Boiler Based on Self-improving Few-Shot Learning
Guolong Li, Yanjun Li, Jian Su, et al.
Energy (2025), pp. 134507-134507
Closed Access
DPCCNN: A new lightweight fault diagnosis model for small samples and high noise problem
Jiabin Zhang, Zhiqian Zhao, Yinghou Jiao, et al.
Neurocomputing (2025), pp. 129526-129526
Closed Access
Physics-driven cross domain digital twin framework for bearing fault diagnosis in non-stationary conditions
Dandan Peng, Mahsa Yazdanianasr, Alexandre Mauricio, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112266-112266
Closed Access
Dynamic Characteristics Analysis of High-Speed Trains Considering Wheel Polygonal Wear Under Track Irregularity Excitation
Xin Wang, H. Z. Yu, Lin Zhou, et al.
Communications in computer and information science (2025), pp. 396-405
Closed Access
Axle bearing fault diagnosis for high-speed trains: A comprehensive review of methodologies, technologies, challenges and emerging trends
Meryem Abtane, Khalid Dahi, Hervé Martinez, et al.
Measurement (2025) Vol. 251, pp. 117098-117098
Closed Access
A Cost-Sensitive Multi-scale Feature Multi-order Fusion Network for Bearing Fault Diagnosis Under Data Imbalance Conditions
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
Lecture notes in electrical engineering (2025), pp. 94-106
Closed Access
Label self-correction intelligent diagnosis method and embedded system for axle box bearings of high-speed trains with noisy labels
Y.M. Li, Yang Gao, Bin Yang, et al.
Neurocomputing (2025), pp. 129998-129998
Closed Access
Roles of Vibration-Based Machine Learning Algorithms in Railway Vehicle Monitoring for Track Condition Assessment: A Review
Agustinus Winarno, Rienetta Ichmawati Delia Sandhy, Nurhazimah Nazmi, et al.
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 4
Closed Access
Application of Multi-Dimension Input Convolutional Neural Network in Fault Diagnosis of Rolling Bearings
Tao Zan, Hui Wang, Min Wang, et al.
Applied Sciences (2019) Vol. 9, Iss. 13, pp. 2690-2690
Open Access | Times Cited: 38
Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention
Tengda Huang, Sheng Fu, Haonan Feng, et al.
Energies (2019) Vol. 12, Iss. 20, pp. 3937-3937
Open Access | Times Cited: 37
Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders
Martin Hemmer, Andreas Klausen, Huynh Van Khang, et al.
IEEE Access (2020) Vol. 8, pp. 35842-35852
Open Access | Times Cited: 34
Fault Diagnosis for Wind Turbine Gearboxes by Using Deep Enhanced Fusion Network
Ziqiang Pu, Chuan Li, Shaohui Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 34
Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network
Shaoqing Liu, Zhenshan Ji, Yong Wang, et al.
Computer Communications (2021) Vol. 173, pp. 160-169
Closed Access | Times Cited: 30
A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation
Zhen Shi, Jinglong Chen, Yanyang Zi, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 28
Automatic defect prediction in glass fiber reinforced polymer based on THz-TDS signal analysis with neural networks
Qiang Wang, Qiuhan Liu, Ruicong Xia, et al.
Infrared Physics & Technology (2021) Vol. 115, pp. 103673-103673
Closed Access | Times Cited: 28
Prediction of wind turbine blades icing based on feature Selection and 1D-CNN-SBiGRU
Yuanyuan Li, Lingyu Hou, Ming Tang, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 3, pp. 4365-4385
Closed Access | Times Cited: 27
High-Accuracy and Adaptive Fault Diagnosis of High-Speed Train Bogie Using Dense-Squeeze Network
Yiming Zhang, Na Qin, Deqing Huang, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 3, pp. 2501-2510
Closed Access | Times Cited: 21
PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detection
Subhrajit Mitra, R. Mukhopadhyay, Paramita Chattopadhyay
Expert Systems with Applications (2022) Vol. 210, pp. 118178-118178
Closed Access | Times Cited: 21
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions
Rafia Nishat Toma, Farzin Piltan, Kichang Im, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4881-4881
Open Access | Times Cited: 20
A CNN-RNN unified framework for intrapartum cardiotocograph classification
Huanwen Liang, Yu Lu
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107300-107300
Closed Access | Times Cited: 20
Fault Diagnosis under Variable Working Conditions Based on STFT and Transfer Deep Residual Network
Yan Du, Aiming Wang, Shuai Wang, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 31
RNN-Aided Human Velocity Estimation from a Single IMU
Tobias Feigl, Sebastian Kram, P Woller, et al.
Sensors (2020) Vol. 20, Iss. 13, pp. 3656-3656
Open Access | Times Cited: 29
Defect Depth Determination in Laser Infrared Thermography Based on LSTM-RNN
Qiang Wang, Qiuhan Liu, Ruicong Xia, et al.
IEEE Access (2020) Vol. 8, pp. 153385-153393
Open Access | Times Cited: 29
Enhanced Lightweight Multiscale Convolutional Neural Network for Rolling Bearing Fault Diagnosis
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
IEEE Access (2020) Vol. 8, pp. 217723-217734
Open Access | Times Cited: 29
Detecting Unexpected Faults of High-Speed Train Bogie Based on Bayesian Deep Learning
Yunpu Wu, Weidong Jin, Yan Li, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 70, Iss. 1, pp. 158-172
Closed Access | Times Cited: 28

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