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:

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

Showing 5 citing articles:

Automated damage detection in masonry structures using cointegrated strain measurements from smart bricks: Application to a full-scale building model subjected to foundation settlements under changing environmental conditions
Andrea Meoni, Michele Mattiacci, Antonella D’Alessandro, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111749-111749
Closed Access | Times Cited: 2

Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling
Yun Bai, Zhiyao Li, Runqi Liu, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 165-165
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

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

Mixed Reality-Based Concrete Crack Detection and Skeleton Extraction Using Deep Learning and Image Processing
Davood Shojaei, Peyman Jafary, Zezheng Zhang
Electronics (2024) Vol. 13, Iss. 22, pp. 4426-4426
Open Access

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