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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 SVM framework for fault detection of the braking system in a high speed train
Jie Liu, Yan‐Fu Li, Enrico Zio
Mechanical Systems and Signal Processing (2016) Vol. 87, pp. 401-409
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
Enrico Zio
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108119-108119
Open Access | Times Cited: 372
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives
Hongtian Chen, Bin Jiang, Steven X. Ding, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 3, pp. 1700-1716
Closed Access | Times Cited: 367
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
Hongtian Chen, Bin Jiang
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 2, pp. 450-465
Closed Access | Times Cited: 343
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]
Miriam Seoane Santos, J. Soares, Pedro Henriques Abreu, et al.
IEEE Computational Intelligence Magazine (2018) Vol. 13, Iss. 4, pp. 59-76
Closed Access | Times Cited: 324
A review on prognostics and health management (PHM) methods of lithium-ion batteries
Huixing Meng, Yan‐Fu Li
Renewable and Sustainable Energy Reviews (2019) Vol. 116, pp. 109405-109405
Closed Access | Times Cited: 291
Fault Diagnosis of an Autonomous Vehicle With an Improved SVM Algorithm Subject to Unbalanced Datasets
Qian Shi, Hui Zhang
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 7, pp. 6248-6256
Closed Access | Times Cited: 239
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
Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN
Zhenzhen Jin, Deqiang He, Zexian Wei
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104713-104713
Closed Access | Times Cited: 188
Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning
Deqiang He, Chenyu Liu, Zhenzhen Jin, et al.
Energy (2021) Vol. 239, pp. 122108-122108
Closed Access | Times Cited: 127
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges
Prashant Singh, Maxim A. Dulebenets, Junayed Pasha, et al.
IEEE Access (2021) Vol. 9, pp. 91427-91461
Open Access | Times Cited: 85
An improved ensemble fusion autoencoder model for fault diagnosis from imbalanced and incomplete data
Jing Yang, Guo Xie, Yanxi Yang
Control Engineering Practice (2020) Vol. 98, pp. 104358-104358
Closed Access | Times Cited: 84
A Weakly Supervised Learning-Based Oversampling Framework for Class-Imbalanced Fault Diagnosis
Min Qian, Yan‐Fu Li
IEEE Transactions on Reliability (2022) Vol. 71, Iss. 1, pp. 429-442
Open Access | Times Cited: 38
Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection
Jie Liu, Shuwen Zheng, Chong Wang
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109232-109232
Closed Access | Times Cited: 24
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
State-of-the-Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review
Anurag Choudhary, Shahab Fatima, Bijaya Ketan Panigrahi
IEEE Transactions on Transportation Electrification (2022) Vol. 9, Iss. 2, pp. 2324-2347
Closed Access | Times Cited: 30
Fault detection and diagnosis of air brake system: A systematic review
Zhe-Fan Hou, C.K.M. Lee, Yaqiong Lv, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 34-58
Closed Access | Times Cited: 17
A scalable fuzzy support vector machine for fault detection in transportation systems
Jie Liu, Enrico Zio
Expert Systems with Applications (2018) Vol. 102, pp. 36-43
Open Access | Times Cited: 46
A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries
Vijay Mohan Nagulapati, Hyunjun Lee, Dawoon Jung, et al.
Energy and AI (2021) Vol. 5, pp. 100089-100089
Open Access | Times Cited: 39
An incipient fault diagnosis methodology using local Mahalanobis distance: Detection process based on empirical probability density estimation
Junjie Yang, Claude Delpha
Signal Processing (2021) Vol. 190, pp. 108308-108308
Open Access | Times Cited: 36
A Modified Generative Adversarial Network for Fault Diagnosis in High-Speed Train Components with Imbalanced and Heterogeneous Monitoring Data
Chong Wang, Jie Liu, Enrico Zio
Journal of Dynamics Monitoring and Diagnostics (2022), pp. 84-92
Open Access | Times Cited: 25
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths
Shuwen Zheng, Chong Wang, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109872-109872
Closed Access | Times Cited: 13
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
Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements
Mingjing Xu, Piero Baraldi, Sameer Al‐Dahidi, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103346-103346
Closed Access | Times Cited: 37
A SVM-based framework for fault detection in high-speed trains
Jie Liu, Yang Hu, Shunkun Yang
Measurement (2020) Vol. 172, pp. 108779-108779
Closed Access | Times Cited: 37
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