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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:

Analysis of Geometric Characteristics of Cracks and Delamination in Aerated Concrete Products Using Convolutional Neural Networks
Irina Razveeva, Alexey Kozhakin, Alexey N. Beskopylny, et al.
Buildings (2023) Vol. 13, Iss. 12, pp. 3014-3014
Open Access | Times Cited: 12

Showing 12 citing articles:

Assessment of Cracking Development in Concrete Precast Crane Beams Using Optical and Deep Learning Methods
Marek Słoński
Materials (2025) Vol. 18, Iss. 4, pp. 731-731
Open Access | Times Cited: 1
Efficient hybrid ensembles of CNNs and transfer learning models for bridge deck image-based crack detection
Ali Mayya, Nizar Faisal Alkayem, Lei Shen, et al.
Structures (2024) Vol. 64, pp. 106538-106538
Closed Access | Times Cited: 7
CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer
Kai Liu, Tao Ren, Zhangli Lan, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 197-197
Open Access
Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures
Li Liu, Bo Shen, Shuchen Huang, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 258-258
Open Access
Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone
Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1914-1914
Open Access
Computer Vision Method for Automatic Detection of Microstructure Defects of Concrete
Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4373-4373
Open Access | Times Cited: 3
Modelling the properties of aerated concrete on the basis of raw materials and ash-and-slag wastes using machine learning paradigm
О. В. Руденко, Darya Galkina, Marzhan Anuarbekovna Sadenova, et al.
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 2
Using Learning Focal Point Algorithm to Classify Emotional Intelligence
Abdelhak Sakhi, Salah-Eddine Mansour, Abderrahim Sekkaki
Journal of Robotics and Control (JRC) (2024) Vol. 5, Iss. 1, pp. 263-270
Open Access | Times Cited: 1
Mapping Publications of Cracks Monitoring in Concrete Structures: Bibliometric and Scientometric Review in 2013-2023
Kharisma Wira Nindhita, Ahmad Zaki, Guntur Nugroho
Annales de Chimie Science des Matériaux (2024) Vol. 48, Iss. 4, pp. 467-479
Open Access | Times Cited: 1
Numerical simulation of the defect's behavior in building structure elements during ultrasonic diagnostics
Vasilii Dolgov, Nikita Beskopylny
BIO Web of Conferences (2024) Vol. 93, pp. 03027-03027
Open Access
Dynamic response of the annular hole defect under ultrasonic in brick
Vasilii Dolgov, Nikita Beskopylny
E3S Web of Conferences (2024) Vol. 531, pp. 01041-01041
Open Access
Assessing the applicability of international AI practices in construction management: A systematic review with implications for Vietnam
Võ Quang Minh, Xuan-Nam Vu Dao, Natalie Nguyen, et al.
Journal of Science and Transport Technology (2024), pp. 71-94
Closed Access
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