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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:

Surface defect detection of civil structures using images: Review from data perspective
Jingjing Guo, Pengkun Liu, Bo Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105186-105186
Closed Access | Times Cited: 33

Showing 1-25 of 33 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: 32
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
Advanced Engineering Informatics (2024) Vol. 60, pp. 102388-102388
Closed Access | Times Cited: 14
Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach
Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis, et al.
Automation in Construction (2025) Vol. 170, pp. 105955-105955
Open Access | Times Cited: 2
A hierarchical federated learning framework for collaborative quality defect inspection in construction
Haitao Wu, Heng Li, Hung-Lin Chi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108218-108218
Closed Access | Times Cited: 5
An overview of Self-Supervised Image Denoising
Dan Zhang
Research Square (Research Square) (2024)
Open Access | Times Cited: 5
A DSF-net-based approach to dual-branch instance segmentation of weak bridge defects
He Zhang, Ruihong Shen, Jiawei Lei, et al.
Engineering Structures (2025) Vol. 327, pp. 119583-119583
Closed Access
AGSAM-Net: UAV route planning and visual guidance model for bridge surface defect detection
Rongji Li, Ziqian Wang
Image and Vision Computing (2025), pp. 105416-105416
Closed Access
Electromechanical impedance-based measurements for damage detection and characterization in medium-thick plates
Mojtaba Khayatazad, Mia Loccufier, Wim De Waele
Measurement (2025), pp. 116841-116841
Closed Access
Lightweight defect detection network based on steel strip raw images
Yue Huang, Zhen Chen, Zhaoxiang Chen, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110179-110179
Closed Access
4D Digital Integration for Nanomaterial-Based Monitoring and Treatment of Bridge Piers Defects
Ghazy Abdullah Albaqawy, Mabrouk Touahmia, Mustapha Boukendakdji, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 501-501
Open Access
Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification
Kyle Dunphy, Madhushan Buwaneswaran, Katarina Grolinger, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
An Optimized YOLOv11 Framework for the Efficient Multi-Category Defect Detection of Concrete Surface
Zhuang Tian, Fan Yang, Lei Yang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1291-1291
Open Access
Automating Postearthquake Recovery in Construction: Leveraging BIM, Deep Learning, and Web Map Services for Efficient Solutions
Adrianto Oktavianus, Po‐Han Chen, Jacob J. Lin, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
Failure Prediction of Coal Mine Equipment Braking System Based on Digital Twin Models
Pubo Gao, Sihai Zhao, Yi Zheng
Processes (2024) Vol. 12, Iss. 4, pp. 837-837
Open Access | Times Cited: 4
Shifting research from defect detection to defect modeling in computer vision-based structural health monitoring
Junjie Chen, I Lei Chan, Ioannis Brilakis
Automation in Construction (2024) Vol. 164, pp. 105481-105481
Closed Access | Times Cited: 4
Concrete crack detection and severity assessment using deep learning and multispectral imagery analysis
Ching‐Lung Fan
Measurement (2025), pp. 116825-116825
Closed Access
Defect attention-based lightweight real-time adaptable surface defect analysis
İbrahim Delibaşoğlu, Duygu Bağcı Daş, Oğuzhan Daş
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
Automatic detection of subsurface defects in concrete structures using state-of-the-art deep learning-based object detectors on the infrared dataset
Quang Tai Ta, Van Ha Mac, Jungwon Huh, et al.
Engineering Structures (2025) Vol. 329, pp. 119829-119829
Closed Access
Rapid Array Images Stitching for Underwater Structures Based on Camera Integrated Calibration with Multi-scale Detectable Features Pattern
Shitong Hou, Yuxuan Wang, Tao Wu, et al.
Developments in the Built Environment (2025), pp. 100649-100649
Open Access
An improved BIM aided indoor localization method via enhancing cross-domain image retrieval based on deep learning
Hongwei Chen, Hongjuan Yang, Jiwen Chen, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109647-109647
Closed Access | Times Cited: 3
Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 3
A Novel Model for Instance Segmentation and Quantification of Bridge Surface Cracks—The YOLOv8-AFPN-MPD-IoU
Chenqin Xiong, Tarek Zayed, Xingyu Jiang, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4288-4288
Open Access | Times Cited: 3
Automatic detection and classification process for concrete defects in deteriorating buildings based on image data
Suhyun Kang, Seung‐Ho Kim, Sangyong Kim
Journal of Asian Architecture and Building Engineering (2024), pp. 1-15
Open Access | Times Cited: 2
Real-time spatial contextual network based on deep learning for bridge exposed rebar segmentation
Yong Wang, Zhenglong He, Xiangqiang Zeng, et al.
Construction and Building Materials (2024) Vol. 449, pp. 138379-138379
Closed Access | Times Cited: 1
Deploying UAV-Based Detection of Bridge Structural Deterioration with Pilgrimage Walk Optimization-Lite for Computer Vision
Jui‐Sheng Chou, Chi‐Yun Liu, Pengyue Guo
Case Studies in Construction Materials (2024) Vol. 21, pp. e04048-e04048
Open Access | Times Cited: 1
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