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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:

A three-stage pavement image crack detection framework with positive sample augmentation
Qingsong Song, Li Liu, Na Lü, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107624-107624
Closed Access | Times Cited: 12

Showing 12 citing articles:

Multilevel thresholding with divergence measure and improved particle swarm optimization algorithm for crack image segmentation
Fangyan Nie, Mengzhu Liu, Pingfeng Zhang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
PipeTransUNet: CNN and Transformer fusion network for semantic segmentation and severity quantification of multiple sewer pipe defects
Mingze Li, Mingchao Li, Qiubing Ren, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111673-111673
Closed Access | Times Cited: 7
Applications of generative adversarial networks in materials science
Yuan Jiang, Jinshan Li, Xiang Lin Yang, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 5
A survey of generative models for image-based structural health monitoring in civil infrastructure
Gi-Hun Gwon, Hyung‐Jo Jung
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100138-100138
Open Access
Advancing spatial-temporal rock fracture prediction with virtual camera-based data augmentation
Jiawei Xie, Baolin Chen, Jinsong Huang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106400-106400
Closed Access
An intelligent detection method for precise analysis of shield tunnel lining joints based on deep learning networks and image morphology algorithms
Yiding Ma, Dechun Lu, Fanchao Kong, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2025), pp. 1-20
Closed Access
Hybrid graph convolutional and deep convolutional networks for enhanced pavement crack detection
Qingsong Song, Jing Tian
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110227-110227
Closed Access
Comprehensive Analysis of Machine Learning Techniques for Crack Detection
L. M. Arpitha, R. Anil Kumar, Zoya Fathima, et al.
Sustainable civil infrastructures (2025), pp. 169-192
Closed Access
Feasibility of Advanced Reflective Cracking Prediction and Detection for Pavement Management Systems Using Machine Learning and Image Detection
Sung-Pil Shin, Kyungnam Kim, Tri Ho Minh Le
Buildings (2024) Vol. 14, Iss. 6, pp. 1808-1808
Open Access | Times Cited: 4
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
Automatic PAUT crack detection and depth identification framework based on inspection robot and deep learning method
Fei Hu, Hongye Gou, Haozhe Yang, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 4, Iss. 1, pp. 100113-100113
Closed Access | Times Cited: 3
Survey of automated crack detection methods for asphalt and concrete structures
Oumaima Khlifati, Khadija Baba, Bassam A. Tayeh
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Closed Access | Times Cited: 1
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