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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:

Fast Detection of Missing Thin Propagating Cracks during Deep-Learning-Based Concrete Crack/Non-Crack Classification
G. Kolappan Geetha, Hyun-Jung Yang, Sung‐Han Sim
Sensors (2023) Vol. 23, Iss. 3, pp. 1419-1419
Open Access | Times Cited: 13

Showing 13 citing articles:

Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 28
Comparative analysis of deep learning models for crack detection in buildings
S. Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities
Xiao Pan, T.Y. Yang, Jun Li, et al.
Archives of Computational Methods in Engineering (2025)
Open Access
Pavement crack detection through a deep-learned asymmetric encoder-decoder convolutional neural network
S. A. Fakhri, Mehran Satari Abrovi, Hamzeh Zakeri, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 9
Enhanced concrete crack detection and proactive safety warning based on I-ST-UNet model
He Zhang, Leyuan Ma, Zhenmin Yuan, et al.
Automation in Construction (2024) Vol. 166, pp. 105612-105612
Closed Access | Times Cited: 3
Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification
Marios Impraimakis
Structural Health Monitoring (2024)
Open Access | Times Cited: 3
Convolutional Neural Network for Predicting Failure Type in Concrete Cylinders During Compression Testing
Jose Manuel Palomino Ojeda, Billy Alexis Cayatopa Calderón, Lenin Quiñones Huatangari, et al.
Civil Engineering Journal (2023) Vol. 9, Iss. 9, pp. 2105-2119
Open Access | Times Cited: 8
Parametric image-based concrete defect assessment method
Dong‐Eun Lee, Young Cheol Choi, Geuntae Hong, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e02962-e02962
Open Access | Times Cited: 1
Inspection Robot and Wall Surface Detection Method for Coal Mine Wind Shaft
Chaoquan Tang, Erfei Gao, Yingming Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5662-5662
Open Access | Times Cited: 3
Enhanced Concrete Crack Detection and Proactive Safety Warning Based on I-St-Unet Model
He Zhang, Leyuan Ma, Zhenmin Yuan, et al.
(2024)
Closed Access
Recent advances in crack detection technologies for structures: a survey of 2022-2023 literature
Hessam Kaveh, Reda Alhajj
Frontiers in Built Environment (2024) Vol. 10
Open Access
Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization
Vaishnavee Rathod, Dipti P. Rana, Rupa G. Mehta
Journal of the Indian Society of Remote Sensing (2024)
Closed Access
Reinforced concrete surface cracks length detection and length estimation by using digital image processing approach
Syahrul Fithry Senin, Amer Yusuff, Rohamezan Rohim, et al.
IOP Conference Series Earth and Environmental Science (2023) Vol. 1238, Iss. 1, pp. 012003-012003
Open Access
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