Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Development and Validation of a Weigh-in-Motion Methodology for Railway Tracks
Bruno Pintão, Araliya Mosleh, Cecília Vale, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1976-1976
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Early wheel flat detection: an automatic data-driven wavelet-based approach for railways
Araliya Mosleh, Andreia Meixedo, Diogo Ribeiro, et al.
Vehicle System Dynamics (2022) Vol. 61, Iss. 6, pp. 1644-1673
Closed Access | Times Cited: 44
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: 42
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
A Literature Review on Train Motion Model Calibration
Alex Cunillera, Nikola Bešinović, Ramon M. Lentink, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 4, pp. 3660-3677
Open 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
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: 15
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
MATLAB-Assisted Dynamic Analysis and Balancing Optimization in Railway Wheel Sets
Jeetender Singh Kushawaha
Journal of Novel Engineering Science and Technology (2025) Vol. 4, Iss. 01, pp. 39-43
Closed Access
Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis
Vítor A. Gonçalves, Araliya Mosleh, Cecília Vale, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2138-2138
Open Access | Times Cited: 9
Innovative Photonic Sensors for Safety and Security, Part I: Fundamentals, Infrastructural and Ground Transportations
Aldo Minardo, Romeo Bernini, Gaia Maria Berruti, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2558-2558
Open Access | Times Cited: 8
Machine learning approach for wheel flat detection of railway train wheels
Araliya Mosleh, Andreia Meixedo, Diogo Ribeiro, et al.
Transportation research procedia (2023) Vol. 72, pp. 4199-4206
Open Access | Times Cited: 5
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
A Method for Measuring the Mass of a Railroad Car Using an Artificial Neural Network
M. A. Denisenko, Alina S. Isaeva, Alexander Sinyukin, et al.
Infrastructures (2024) Vol. 9, Iss. 2, pp. 31-31
Open 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
Real-time Bayesian axle load estimation and structural identification of railway bridges under train loads based on strain monitoring
Houzuo Guo, Ka‐Veng Yuen, He‐Qing Mu
Engineering Structures (2024) Vol. 322, pp. 119195-119195
Closed Access | Times Cited: 1
Detection of coal wagon load distributions based on geometrical features using extreme learning machine methods
Ignatius Anagra, Irfan Bahiuddin, Herjuno Rizki Priatomo, et al.
International Journal of Information Technology (2023) Vol. 16, Iss. 2, pp. 939-947
Closed Access | Times Cited: 3
Weigh-in-Motion System Based on an Improved Kalman and LSTM-Attention Algorithm
Baidi Shi, Yongfeng Jiang, Yefeng Bao, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 250-250
Open Access | Times Cited: 3
Optimum Train Weighing in Motion using Inertial Sensors
Milad Kazemian, Majid Movahedi Rad, Morad Shadfar, et al.
Acta Polytechnica Hungarica (2024) Vol. 21, Iss. 1, pp. 221-240
Open Access
Control of the Safety of Bulk Cargo by Determining the Unfilled Volume of the Gondola Car with Stereophotogrammetry
M. I. Malyshev
World of Transport and Transportation (2024) Vol. 21, Iss. 5, pp. 135-141
Open Access
Models and a deformations simulation approach using ANSYS CAD for railway wagons weighing system
M. A. Denisenko, Alina S. Isaeva, Alexander Sinyukin, et al.
Scientific and technical journal of information technologies mechanics and optics (2024) Vol. 24, Iss. 2, pp. 284-292
Open Access
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
Smart Rail Infrastructure: Onboard Monitoring with Machine Learning for Track Defect Detection
Araliya Mosleh, Majid Mohammadi, C. Canduco, et al.
Civil-comp conferences (2024) Vol. 7, pp. 1-12
Open Access
Smart System to Detect Under Loading and Overloading of Wagons in Transportation
M. Kowsalya, B. Kalaimathi, Alamelu Alias Rajasree S, et al.
(2024), pp. 97-100
Closed Access
A System of IoT Devices to prevent Overloading and Underloading of Railway Wagons
Deepesh Gorai, Himanshu Himanshu, Princy Maurya, et al.
(2024), pp. 1-4
Closed Access
A supervised machine learning approach for structural overload classification in railway bridges using weigh-in-motion data
Ngoc Thach Le, Mickey Keenan, Andy Nguyen, et al.
Structures (2024) Vol. 71, pp. 108005-108005
Open Access
Page 1 - Next Page

Scroll to top