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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:

Anomaly detection of train wheels utilizing short-time Fourier transform and unsupervised learning algorithms
Ting Hei Wan, Chi Wai Tsang, King Hui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106037-106037
Closed Access | Times Cited: 24

Showing 24 citing articles:

Recognition and optimisation method of impact deformation patterns based on point cloud and deep clustering: Applied to thin-walled tubes
Chengxing Yang, Zhaoyang Li, Ping Xu, et al.
Journal of Industrial Information Integration (2024) Vol. 40, pp. 100607-100607
Closed Access | Times Cited: 18
Building structure-borne noise measurements and estimation due to train operations in tunnel
Xuming Li, Yekai Chen, Chao Zou, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 172080-172080
Closed Access | Times Cited: 17
Smart railways: AI-based track-side monitoring for wheel flat identification
Mohammadreza Mohammadi, Araliya Mosleh, Cecília Vale, et al.
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit (2025)
Closed Access | Times Cited: 1
Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network
Mohammad Shahin, Mazdak Maghanaki, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 5343-5419
Closed Access | Times Cited: 8
Fault diagnosis of railway wheelsets: A review
Yunguang Ye, Haoqian Li, Qunsheng Wang, et al.
Measurement (2024) Vol. 242, pp. 116169-116169
Closed Access | Times Cited: 6
A data-driven prioritisation framework to mitigate maintenance impact on passengers during metro line operation
Alice Consilvio, Giulia Vignola, Paula López Arévalo, et al.
European Transport Research Review (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
A systematic literature review of defect detection in railways using machine vision-based inspection methods
Ankit Kumar, S. P. Harsha
International Journal of Transportation Science and Technology (2024)
Open Access | Times Cited: 5
Acoustic signal-based wear monitoring for belt grinding tools with pyramid-structured abrasives using BO-KELM
Yingjie Liu, Wenxi Wang, Xiaoyu Zhao, et al.
Computers in Industry (2025) Vol. 166, pp. 104235-104235
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
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
Time consideration in machine learning models for train comfort prediction using LSTM networks
Pablo Garrido Martínez–Llop, Juan de Dios Sanz Bobi, Manuel Olmedo Ortega
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106303-106303
Open Access | Times Cited: 13
Overview of fault prognosis for traction systems in high-speed trains: A deep learning perspective
Kai Zhong, Jiayi Wang, Shuiqing Xu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106845-106845
Closed Access | Times Cited: 12
Window Function Shape Independent Short Time Fourier Transform and Efficient Signal Reconstruction from Time Frequency Distribution
Bertan Karahoda
Circuits Systems and Signal Processing (2025)
Closed Access
Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
Michał Bałdyga, Kacper Barański, Jakub Belter, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2633-2633
Open Access | Times Cited: 2
GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis
Daehee Lee, Hyunseung Choo, Jongpil Jeong
Sensors (2024) Vol. 24, Iss. 15, pp. 4855-4855
Open Access | Times Cited: 2
A novel autoencoder for structural anomalies detection in river tunnel operation
Xuyan Tan, Palaiahnakote Shivakumara, Weizhong Chen, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122906-122906
Closed Access | Times Cited: 5
Multi-rolling element faults diagnosis of rolling bearing based on time-frequency analysis and multi-curves extraction
Xiru Liu, Changfeng Yan, Ming Lv, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106113-106113
Closed Access | Times Cited: 1
Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection
Yong-chan Park, Jong-Jin Kim, U Kang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2328-2339
Open Access | Times Cited: 1
Feature Extraction of Time Series Data Based on CNN-CBAM
Jiaji Qin, Dapeng Lang, Chao Gao
Communications in computer and information science (2023), pp. 233-245
Closed Access | Times Cited: 2
Unsupervised Signal Anomaly Transformer method: Achieving bearing life anomaly detection without the need for failure samples
Ping Yu, Mengmeng Ping, Jialin Ma, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108940-108940
Closed Access
A literature review on the applications of artificial intelligence to European rail transport safety
Habib Hadj‐Mabrouk
IET Intelligent Transport Systems (2024)
Open Access
Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research
Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, et al.
IEEE Access (2024) Vol. 12, pp. 174564-174590
Open Access
Screening out potentially defective products in micro-transformer production by intelligently integrating mechanical and electronic signals
Li Lei, Jin Xie, Xingqiu Zhao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107186-107186
Closed Access | Times Cited: 1
Kernel Regression Residual Decomposition-Based Polynomial Frequency Modulation Integral Algorithm to Identify Physical Parameters of Time-Varying Systems under Random Excitation
Liu Hui, Zhiyu Shi
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8151-8151
Open Access
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