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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:

Deep learning-based automated tile defect detection system for Portuguese cultural heritage buildings
Narges Karimi, Mayank Mishra, Paulo B. Lourénço
Journal of Cultural Heritage (2024) Vol. 68, pp. 86-98
Open Access | Times Cited: 12

Showing 12 citing articles:

Artificial Intelligence for Routine Heritage Monitoring and Sustainable Planning of the Conservation of Historic Districts: A Case Study on Fujian Earthen Houses (Tulou)
Jiayue Fan, Yile Chen, Liang Zheng
Buildings (2024) Vol. 14, Iss. 7, pp. 1915-1915
Open Access | Times Cited: 5
Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network
Narges Karimi, Mayank Mishra, Paulo B. Lourénço
International Journal of Architectural Heritage (2024), pp. 1-17
Closed Access | Times Cited: 5
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Triple-stage crack detection in stone masonry using YOLO-ensemble, MobileNetV2U-net, and spectral clustering
Ali Mayya, Nizar Faisal Alkayem
Automation in Construction (2025) Vol. 172, pp. 106045-106045
Closed Access
Novel R-C-C fusion machine learning method for automatic damage detection of heritage buildings using 3D point cloud data
Hyungjoon Seo, Parveen Sihag, Liangna Fu, et al.
Journal of Civil Structural Health Monitoring (2025)
Closed Access
Research progress in deep learning for ceramics surface defect detection
M.Y. Zhou, Tianzhao Wu, Zhongyi Xia, et al.
Measurement (2024) Vol. 242, pp. 115956-115956
Closed Access | Times Cited: 1
An Integrated Method Using a Convolutional Autoencoder, Thresholding Techniques, and a Residual Network for Anomaly Detection on Heritage Roof Surfaces
Yongcheng Zhang, Liulin Kong, Maxwell Fordjour Antwi‐Afari, et al.
Buildings (2024) Vol. 14, Iss. 9, pp. 2828-2828
Open Access
Surface Crack Detection in Historical Buildings with Deep Learning-based YOLO Algorithms: A Comparative Study
Hasan Ali Akyürek, Hasan İbrahim Kozan, Şakir Taşdemir
COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE & ENGINEERING (2024) Vol. 10, Iss. 3, pp. 1-14
Closed Access
ImageOP: The Image Dataset with Religious Buildings in the World Heritage Town of Ouro Preto for Deep Learning Classification
André Luiz Carvalho Ottoni, Lara Toledo Cordeiro Ottoni
Heritage (2024) Vol. 7, Iss. 11, pp. 6499-6525
Open Access
A New Method for Rapid Detection of Surface Defects on Complex Textured Tiles
Guanping Dong, Yuanzhi Wang, Sai Liu, et al.
Journal of Nondestructive Evaluation (2024) Vol. 44, Iss. 1
Closed Access
Enhance the Concrete Crack Classification Based on a Novel Multi-Stage YOLOV10-ViT Framework
Ali Mayya, Nizar Faisal Alkayem
Sensors (2024) Vol. 24, Iss. 24, pp. 8095-8095
Open Access
Kangba Region of Sichuan based on swin transformer visual model research on the identification of facades of ethnic buildings
Yan Zhang, Boyuan Wang, Jimei Li
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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