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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:

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

Showing 16 citing articles:

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
A quantitative detection method for wheel polygonization of heavy-haul locomotives based on a hybrid deep learning model
Maoyong Dong, Shiqian Chen, Bo Xie, et al.
Measurement (2024) Vol. 227, pp. 114206-114206
Closed Access | Times Cited: 7
A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders
Jorge Magalhães, Tomás Jorge, Rúben Silva, et al.
Railway Engineering Science (2024) Vol. 32, Iss. 4, pp. 421-443
Open Access | Times Cited: 7
Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder
Thyago de Moura Jorge, Joana Magalhães, Rúben Silva, et al.
Vehicle System Dynamics (2024), pp. 1-26
Open Access | Times Cited: 6
Adaptive time series representation for out-of-round railway wheels fault diagnosis in wayside monitoring
Afonso Lourenço, Carolina Ferraz, Diogo Ribeiro, et al.
Engineering Failure Analysis (2023) Vol. 152, pp. 107433-107433
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
Probabilistic quantitative inversion of wheel out-of-roundness using probabilistic learning on manifolds and dynamic model
Zhe Li, Meng Ma
Measurement (2025), pp. 117166-117166
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
Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part II: Track and Vehicle
Cássio Bragança, E.F. Souza, Diogo Ribeiro, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6982-6982
Open Access | Times Cited: 9
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
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
Condition Monitoring of Rolling Stock Supported by Artificial Intelligence Technique
Araliya Mosleh, Andreia Meixedo, Diogo Ribeiro, et al.
(2024), pp. 117-133
Closed Access | Times Cited: 1
Time series data mining for railway wheel and track monitoring: a survey
Afonso Lourenço, Diogo Ribeiro, Marta Fernandes, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16707-16725
Open Access | Times Cited: 1
Seeking a Sufficient Data Volume for Railway Infrastructure Component Detection with Computer Vision Models
Alicja Gosiewska, Zuzanna Baran, Monika Baran, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7776-7776
Open Access | Times Cited: 3
Blockchain-enabled Data Mining for Pre-Condition Monitoring in Railway Infrastructure
Meisam Gordan, Ramin Ghiasi, Araliya Mosleh, et al.
e-Journal of Nondestructive Testing (2024) Vol. 29, Iss. 7
Open Access
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