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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:

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

Showing 1-25 of 28 citing articles:

Modern Tendencies in Vehicle-Based Condition Monitoring of the Railway Track
Héctor A. Fernández-Bobadilla, Ullrich Martin
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-44
Closed Access | Times Cited: 17
A Review of Deep Learning Applications for Railway Safety
Kyue Taek Oh, Mintaek Yoo, Nayoung Jin, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10572-10572
Open Access | Times Cited: 21
Robust Distribution-Aware Ensemble Learning for Multi-Sensor Systems
Payman Goodarzi, Julian Schauer, Andreas Schütze
Sensors (2025) Vol. 25, Iss. 3, pp. 831-831
Open Access
Composite Adaptive Anti-Disturbance Fault Tolerant Control of High-Speed Trains With Multiple Disturbances
Xiuming Yao, Shaohua Li, Xiaofeng Li
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 21799-21809
Closed Access | Times Cited: 18
Sigma-Mixed Unscented Kalman Filter-Based Fault Detection for Traction Systems in High-Speed Trains
Chao Cheng, Weijun Wang, Xiangxi Meng, et al.
Chinese Journal of Electronics (2023) Vol. 32, Iss. 5, pp. 982-991
Open Access | Times Cited: 9
Optimum Power Flow in DC Microgrid Employing Bayesian Regularized Deep Neural Network
Pandia Rajan Jeyaraj, Siva Prakash Asokan, Aravind Chellachi Karthiresan
Electric Power Systems Research (2021) Vol. 205, pp. 107730-107730
Closed Access | Times Cited: 21
A hierarchical deep learning framework for combined rolling bearing fault localization and identification with data fusion
Mingxuan Liang, Kai Zhou
Journal of Vibration and Control (2022) Vol. 29, Iss. 13-14, pp. 3165-3174
Closed Access | Times Cited: 13
A new metric for reliable diagnosis of rotating machines applied to a multi-fault rotor using Bayesian neural networks
Olympio Belli, Hélio Fiori de Castro
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 11
Closed Access | Times Cited: 2
Precise Diagnosis of Unknown Fault of High-Speed Train Bogie Using Novel FBM-Net
Yiming Zhang, Na Qin, Deqing Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 10
Fault Detection of Electric Vehicle using Machine Learning Algorithm
K. Vinothini, K.S. Harshavardhan, J. Amerthan, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 878-881
Closed Access | Times Cited: 8
Direct denoising of fault signal for train bogie bearing under speed change condition
Zexian Wei, Deqiang He, Zhenzhen Jin, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 16582-16592
Closed Access | Times Cited: 1
Unsupervised Transfer Learning Method via Cycle-Flow Adversarial Networks for Transient Fault Detection under Various Operation Conditions
Xiaoyue Yang, Long Chen, Qidong Feng, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4839-4839
Open Access | Times Cited: 1
Performance Degradation Estimation of High-Speed Train Bogie Based on 1D-ConvLSTM Time-Distributed Convolutional Neural Network
Junxiao Ren, Weidong Jin, Liang Li, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 6
Research on Performance Degradation Estimation of Key Components of High-Speed Train Bogie Based on Multi-Task Learning
Junxiao Ren, Weidong Jin, Yunpu Wu, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 696-696
Open Access | Times Cited: 3
A data‐driven fault diagnosis of high speed maglev train levitation system
Zhiqiang Wang, Zhiqiang Long, Jie Luo, et al.
International Journal of Adaptive Control and Signal Processing (2023) Vol. 37, Iss. 10, pp. 2671-2689
Closed Access | Times Cited: 3
A review of high performance computing applications in high-speed rail systems
Shenyuan Ren, Yidong Li
High-speed Railway (2023) Vol. 1, Iss. 2, pp. 92-96
Open Access | Times Cited: 2
Anomaly Detection Using Ensemble Classification and Evidence Theory
Fernando Arévalo, M. Tahasanul Ibrahim, M. P. Christian Alison, et al.
IEEE Access (2023) Vol. 11, pp. 53545-53587
Open Access | Times Cited: 2
Enhancing Adversarial Robustness for High-Speed Train Bogie Fault Diagnosis Based on Adversarial Training and Residual Perturbation Inversion
Desheng Wang, Weidong Jin, Yunpu Wu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7608-7618
Closed Access
A Novel Fault Diagnosis Method of High-Speed Train Based on Few-Shot Learning
Yunpu Wu, Jianhua Chen, Xia Lei, et al.
Entropy (2024) Vol. 26, Iss. 5, pp. 428-428
Open Access
A novel spike detection model for dynamic stress monitoring of bogie frame
Guang Wei Zhao, Nan Li, Yu Sun
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 9
Open Access
Generalized zero-shot diagnosis strategy for high-speed train bogie faced with a scarcity of specific fault samples
Yiming Zhang, Na Qin, Deqing Huang, et al.
Journal of Vibration and Control (2024)
Closed Access
MAGVA: An Open-Set Fault Diagnosis Model Based on Multi-Hop Attentive Graph Variational Autoencoder for Autonomous Vehicles
Rao Fu, Yuanguo Bi, Guangjie Han, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 14873-14889
Closed Access | Times Cited: 1
Early fault diagnosis strategy for high-speed train suspension systems based on model-agnostic meta-learning
Funing Yang, Jikai Liu, Chunrong Hua, et al.
Vehicle System Dynamics (2023) Vol. 62, Iss. 10, pp. 2510-2532
Closed Access | Times Cited: 1
Optimization Strategies for High-Speed Electrical Trains Based on Artificial Intelligence for Cost and Energy Reduction
A. Geetha Devi, Rajendar Sandiri, T. Anuradha, et al.
2022 International Conference on Electronics and Renewable Systems (ICEARS) (2022)
Closed Access | Times Cited: 1
Performance Degradation Estimation of High-speed Train Bogie based on a Novel Multi-Scale Convolution Module
Junxiao Ren, Weidong Jin, Liang Li
2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI) (2022) Vol. 161, pp. 285-290
Closed Access | Times Cited: 1
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