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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 Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring
Yi‐Qing Ni, Qiu-Hu Zhang
Structural Health Monitoring (2020) Vol. 20, Iss. 4, pp. 1536-1550
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Automatic clustering-based approach for train wheels condition monitoring
Araliya Mosleh, Andreia Meixedo, Diogo Ribeiro, et al.
International Journal of Rail Transportation (2022) Vol. 11, Iss. 5, pp. 639-664
Closed Access | Times Cited: 40
An Unsupervised Learning Approach for Wayside Train Wheel Flat Detection
Mohammadreza Mohammadi, Araliya Mosleh, Cecília Vale, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1910-1910
Open Access | Times Cited: 24
Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins
Mujib Olamide Adeagbo, Sumei Wang, Yi‐Qing Ni
Advanced Engineering Informatics (2024) Vol. 61, pp. 102450-102450
Open Access | Times Cited: 12
Data interpretation and forecasting of SHM heteroscedastic measurements under typhoon conditions enabled by an enhanced Hierarchical sparse Bayesian Learning model with high robustness
Qiang Wang, Quan Liu, Zhanguo Ma, et al.
Measurement (2024) Vol. 230, pp. 114509-114509
Closed Access | Times Cited: 10
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: 8
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
Rail wheel tread defect detection using improved YOLOv3
Zongyi Xing, Zhenyu Zhang, Xiaowen Yao, et al.
Measurement (2022) Vol. 203, pp. 111959-111959
Closed Access | Times Cited: 35
State-of-the-Art Wayside Condition Monitoring Systems for Railway Wheels: A Comprehensive Review
Muhammad Zakir Shaikh, Zeeshan Ahmed, Bhawani Shankar Chowdhry, et al.
IEEE Access (2023) Vol. 11, pp. 13257-13279
Open Access | Times Cited: 20
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: 16
Detection of Wheel Polygonization Based on Wayside Monitoring and Artificial Intelligence
António Guedes, Rúben Silva, Diogo Ribeiro, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2188-2188
Open Access | Times Cited: 16
On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression
Rajdip Nayek, R. Fuentes, Keith Worden, et al.
Mechanical Systems and Signal Processing (2021) Vol. 161, pp. 107986-107986
Open Access | Times Cited: 35
Quantitative detection of locomotive wheel polygonization under non-stationary conditions by adaptive chirp mode decomposition
Shiqian Chen, Kaiyun Wang, Ziwei Zhou, et al.
Railway Engineering Science (2022) Vol. 30, Iss. 2, pp. 129-147
Open Access | Times Cited: 24
Early Identification of Unbalanced Freight Traffic Loads Based on Wayside Monitoring and Artificial Intelligence
Rúben Silva, António Guedes, Diogo Ribeiro, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1544-1544
Open Access | Times Cited: 14
Review of Transformer Health Index from the Perspective of Survivability and Condition Assessment
Shuaibing Li, Xinchen Li, Yi Cui, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2407-2407
Open Access | Times Cited: 14
Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System
António Guedes, Rúben Silva, Diogo Ribeiro, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3650-3650
Open Access | Times Cited: 4
Adaptive sparse wavelet packet node selection algorithm for impulse signal compression in railway tracks
Guodong Yue, Lili Zhao, Yihao Wang, et al.
Journal of Civil Structural Health Monitoring (2025)
Closed Access
Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models
Rodrigues Melo, Rafaelle Piazzaroli Finotti, António Guedes, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2662-2662
Open Access
Recent advances in uncertainty quantification in structural response characterization and system identification
Kai Zhou, Zequn Wang, Qingbin Gao, et al.
Probabilistic Engineering Mechanics (2023) Vol. 74, pp. 103507-103507
Closed Access | Times Cited: 11
Bayesian approaches for evaluating wind‐resistant performance of long‐span bridges using structural health monitoring data
You‐Wu Wang, Yi‐Qing Ni, Qiu-Hu Zhang, et al.
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 4
Open Access | Times Cited: 25
Experimental detection of train wheel defects using wayside vibration signal processing
Mehdi Salehi, Seyed Amin Bagherzadeh, Mohamad Fakhari
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3286-3301
Closed Access | Times Cited: 8
Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review
Wenjie Fu, Qixin He, Qibo Feng, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3916-3916
Open Access | Times Cited: 8
Two-Stage Intrusion Events Recognition for Vibration Signals From Distributed Optical Fiber Sensors
Zhuoling Lyu, Chengyuan Zhu, Yanyun Pu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-10
Closed Access | Times Cited: 8
Advancement of data-driven SHM: A research paradigm on AE-based switch rail condition monitoring
Lu Zhou, Si‐Xin Chen, Yi‐Qing Ni, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 3, pp. 100107-100107
Open Access | Times Cited: 2
Design and Development of a Wayside AI‐Assisted Vision System for Online Train Wheel Inspection
Muhammad Zakir Shaikh, Sanaullah Mehran, Enrique Nava Baro, et al.
Engineering Reports (2024)
Open Access | Times Cited: 2
M-CLUSTER: multistage clustering for unsupervised train wheel condition monitoring
Ramin Ghiasi, Meisam Gordan, Araliya Mosleh, et al.
Vehicle System Dynamics (2024), pp. 1-26
Closed Access | Times Cited: 2
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