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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:

Review on computer vision-based crack detection and quantification methodologies for civil structures
Jianghua Deng, Amardeep Singh, Yiyi Zhou, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129238-129238
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images
Qiwen Qiu, Denvid Lau
Automation in Construction (2023) Vol. 147, pp. 104745-104745
Closed Access | Times Cited: 113
MOD-YOLO: Rethinking the YOLO architecture at the level of feature information and applying it to crack detection
Peng Su, Huizi Han, Mei Liu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121346-121346
Closed Access | Times Cited: 52
Computer Vision-Based Bridge Inspection and Monitoring: A Review
Kui Luo, Xuan Kong, Jie Zhang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7863-7863
Open Access | Times Cited: 52
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
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
Automatic segmentation of tunnel lining defects based on multiscale attention and context information enhancement
Zhong Zhou, Longbin Yan, Junjie Zhang, et al.
Construction and Building Materials (2023) Vol. 387, pp. 131621-131621
Closed Access | Times Cited: 29
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 27
Augmented reality-computer vision combination for automatic fatigue crack detection and localization
Ali Mohammadkhorasani, Kaveh Malek, Rushil Mojidra, et al.
Computers in Industry (2023) Vol. 149, pp. 103936-103936
Closed Access | Times Cited: 26
Crack segmentation on steel structures using boundary guidance model
Zhili He, Wang Chen, Jian Zhang, et al.
Automation in Construction (2024) Vol. 162, pp. 105354-105354
Closed Access | Times Cited: 9
Pixel-wise crack defect segmentation with dual-encoder fusion network
Suli Bai, Mingyang Ma, Lei Yang, et al.
Construction and Building Materials (2024) Vol. 426, pp. 136179-136179
Closed Access | Times Cited: 8
A hybrid lightweight encoder-decoder network for automatic bridge crack assessment with real-world interference
Jianghua Deng, Ye Lü, Vincent CS Lee
Measurement (2023) Vol. 216, pp. 112892-112892
Closed Access | Times Cited: 20
Employing histogram of oriented gradient to enhance concrete crack detection performance with classification algorithm and Bayesian optimization
Zhen Sun, Elsa Caetano, Sérgio Pereira, et al.
Engineering Failure Analysis (2023) Vol. 150, pp. 107351-107351
Closed Access | Times Cited: 19
Efficient LBP-GLCM texture analysis for asphalt pavement raveling detection using eXtreme Gradient Boost
Mohammad Hassan Daneshvari, Ebrahim Nourmohammadi, Mahmoud Ameri, et al.
Construction and Building Materials (2023) Vol. 401, pp. 132731-132731
Closed Access | Times Cited: 16
Application of Machine Learning (ML)-based multi-classifications to identify corrosion fatigue cracking phenomena in Naval steel weldments
Vivek Srivastava, B. N. Basu, N. Prabhu
Materials Today Communications (2024) Vol. 39, pp. 108591-108591
Closed Access | Times Cited: 7
Computer vision-based displacement identification and its application to bridge condition assessment under operational conditions
Zhen Peng, Jun Li, Hong Hao
Deleted Journal (2024)
Open Access | Times Cited: 7
A comparison study of semantic segmentation networks for crack detection in construction materials
Zhongqi Shi, Nan Jin, Dongbo Chen, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134950-134950
Closed Access | Times Cited: 6
Hybrid Pixel‐Level Crack Segmentation for Ballastless Track Slab Using Digital Twin Model and Weakly Supervised Style Transfer
Wenbo Hu, Weidong Wang, Xianhua Liu, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 5
Deep learning metasensor for crack-width assessment and self-healing evaluation in concrete
Jacek Jakubowski, Kamil Tomczak
Construction and Building Materials (2024) Vol. 422, pp. 135768-135768
Closed Access | Times Cited: 5
Computer vision in drone imagery for infrastructure management
Naveed Ejaz, Salimur Choudhury
Automation in Construction (2024) Vol. 163, pp. 105418-105418
Open Access | Times Cited: 5
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
Self‐training approach for crack detection using synthesized crack images based on conditional generative adversarial network
Seungbo Shim
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 7, pp. 1019-1041
Open Access | Times Cited: 15
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: 14
Dual attention transformer network for pixel-level concrete crack segmentation considering camera placement
Yingjie Wu, Shaoqi Li, Jinge Zhang, et al.
Automation in Construction (2023) Vol. 157, pp. 105166-105166
Closed Access | Times Cited: 14
Multi-visual modality micro drone-based structural damage detection
Isaac Osei Agyemang, Liaoyuan Zeng, Jianwen Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108460-108460
Closed Access | Times Cited: 4
Displacement reconstruction with frequency domain-invariant representation for enhancing track damage identification
Shaohua Wang, Hu Meng, Lihua Tang, et al.
Engineering Structures (2025) Vol. 328, pp. 119693-119693
Open Access
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