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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:

Automatic image-based brick segmentation and crack detection of masonry walls using machine learning
Dimitrios Loverdos, Vasilis Sarhosis
Automation in Construction (2022) Vol. 140, pp. 104389-104389
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review
Mayank Mishra, Paulo B. Lourénço
Journal of Cultural Heritage (2024) Vol. 66, pp. 536-550
Open Access | Times Cited: 36
Assessment, repair, and retrofitting of masonry structures: A comprehensive review
Ayoub Keshmiry, Sahar Hassani, Ulrike Dackermann, et al.
Construction and Building Materials (2024) Vol. 442, pp. 137380-137380
Open Access | Times Cited: 22
Deep learning-based crack segmentation for civil infrastructure: data types, architectures, and benchmarked performance
Shanglian Zhou, Carlos Canchila, Wei Song
Automation in Construction (2022) Vol. 146, pp. 104678-104678
Closed Access | Times Cited: 60
Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification, segmentation, and detection
Guidong Yang, Kangcheng Liu, Jihan Zhang, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129226-129226
Closed Access | Times Cited: 51
A Comparative Study on Crack Detection in Concrete Walls Using Transfer Learning Techniques
Remya Elizabeth Philip, A. Diana Andrushia, Anand Nammalvar, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 4, pp. 169-169
Open Access | Times Cited: 27
Target-free recognition of cable vibration in complex backgrounds based on computer vision
Weidong Wang, Depeng Cui, Chengbo Ai, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110392-110392
Closed Access | Times Cited: 23
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Nils Hütten, Miguel Alves Gomes, Florian Hölken, et al.
Applied System Innovation (2024) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 13
Multi-source heterogeneous data fusion prediction technique for the utility tunnel fire detection
Bin Sun, Yan Li, Yangyang Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110154-110154
Closed Access | Times Cited: 13
MFAFNet: An innovative crack intelligent segmentation method based on multi-layer feature association fusion network
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102584-102584
Closed Access | Times Cited: 10
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: 8
Automatic detection of mortar loss on masonry building facades based on deep learning
Jianxiong Zhang, Hongxing Qiu, Jian Sun
Journal of Civil Structural Health Monitoring (2025)
Closed Access | Times Cited: 1
Data-Driven Machine-Learning-Based Seismic Response Prediction and Damage Classification for an Unreinforced Masonry Building
Nagavinothini Ravichandran, Butsawan Bidorn, Oya Mercan, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1686-1686
Open Access | Times Cited: 1
Geometrical digital twins of masonry structures for documentation and structural assessment using machine learning
Dimitrios Loverdos, Vasilis Sarhosis
Engineering Structures (2022) Vol. 275, pp. 115256-115256
Open Access | Times Cited: 37
Deep learning-based masonry crack segmentation and real-life crack length measurement
L. Minh Dang, Hanxiang Wang, Yanfen Li, et al.
Construction and Building Materials (2022) Vol. 359, pp. 129438-129438
Closed Access | Times Cited: 34
Automatic multi-leaf nonperiodic block-by-block pattern generation and computational analysis of historical masonry structures
M. Pereira, Antonio Maria D’Altri, Stefano de Miranda, et al.
Engineering Structures (2023) Vol. 283, pp. 115945-115945
Open Access | Times Cited: 17
Detection of limestone spalling in 3D survey images using deep learning
Koubouratou Idjaton, Romain Janvier, Malek Balawi, et al.
Automation in Construction (2023) Vol. 152, pp. 104919-104919
Open Access | Times Cited: 16
Pixel-level block classification and crack detection from 3D reconstruction models of masonry structures using convolutional neural networks
Dimitrios Loverdos, Vasilis Sarhosis
Engineering Structures (2024) Vol. 310, pp. 118113-118113
Closed Access | Times Cited: 7
Spatial attention-based dual stream transformer for concrete defect identification
Dhirendra Prasad Yadav, Shivank Chauhan, Belkacem Kada, et al.
Measurement (2023) Vol. 218, pp. 113137-113137
Closed Access | Times Cited: 15
Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation
Hong Huang, Yuanzhi Cai, Cheng Zhang, et al.
Automation in Construction (2023) Vol. 158, pp. 105213-105213
Closed Access | Times Cited: 15
Discovery and Classification of Defects on Facing Brick Specimens Using a Convolutional Neural Network
Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5413-5413
Open Access | Times Cited: 14
Crack pattern–based machine learning prediction of residual drift capacity in damaged masonry walls
Mauricio Pereira, Antonio Maria D’Altri, Stefano de Miranda, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 5
Full life-cycle vibration-based monitoring of a full-scale masonry arch bridge with increasing levels of damage
Bowen Liu, Daigo Kawabe, Chul‐Woo Kim, et al.
Engineering Structures (2024) Vol. 315, pp. 118466-118466
Open Access | Times Cited: 5
Sam-based instance segmentation models for the automation of structural damage detection
Zehao Ye, Lucy Lovell, Asaad Faramarzi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102826-102826
Closed Access | Times Cited: 5
A Damage Assessment Method for Masonry Structures Based on Multi Scale Channel Shuffle Dilated Convolution and ReZero-Transformer
Zhongliang Zou, Shuzhen Yang, Man‐Sheng Wang, et al.
Journal of Building Engineering (2025), pp. 112002-112002
Closed Access
Simulation-driven machine learning for real-time damage prognosis in masonry structures
Antonio Maria D’Altri, M. Pereira, Stefano de Miranda, et al.
International Journal of Mechanical Sciences (2025), pp. 110055-110055
Open Access
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