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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 deeper generative adversarial network for grooved cement concrete pavement crack detection
Jingtao Zhong, Ju Huyan, Weiguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105808-105808
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Underwater dam crack image generation based on unsupervised image-to-image translation
Ben Huang, Fei Kang, Xinyu Li, et al.
Automation in Construction (2024) Vol. 163, pp. 105430-105430
Closed Access | Times Cited: 47
Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack detection and concrete property exploration
Kaustav Sarkar, Amit Shiuly, Krishna Gopal Dhal
Construction and Building Materials (2023) Vol. 411, pp. 134212-134212
Closed Access | Times Cited: 34
Dual-path network combining CNN and transformer for pavement crack segmentation
Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, et al.
Automation in Construction (2023) Vol. 158, pp. 105217-105217
Closed Access | Times Cited: 33
A Multitask Fusion Network for Region-Level and Pixel-Level Pavement Distress Detection
Jingtao Zhong, Miaomiao Zhang, Yuetan Ma, et al.
Journal of Transportation Engineering Part B Pavements (2024) Vol. 150, Iss. 1
Closed Access | Times Cited: 12
YOLOv8-PD: an improved road damage detection algorithm based on YOLOv8n model
Jiayi Zeng, Zhong Han
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
Dariush Amirkhani, Mohand Saïd Allili, Loucif Hebbache, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10483-10505
Closed Access | Times Cited: 10
Deep learning-driven pavement crack analysis: Autoencoder-enhanced crack feature extraction and structure classification
Miaomiao Zhang, Jingtao Zhong, Changhong Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107949-107949
Closed Access | Times Cited: 8
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Real-time instance-level detection of asphalt pavement distress combining space-to-depth (SPD) YOLO and omni-scale network (OSNet)
Jiale Li, Chenglong Yuan, Xuefei Wang
Automation in Construction (2023) Vol. 155, pp. 105062-105062
Closed Access | Times Cited: 21
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Yan Li, Maohan Liang, Huanhuan Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107012-107012
Open Access | Times Cited: 20
A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106872-106872
Closed Access | Times Cited: 17
Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing framework
Han-Cheng Dan, Zheying Huang, B. Lü, et al.
Construction and Building Materials (2024) Vol. 453, pp. 139056-139056
Closed Access | Times Cited: 7
A novel transfer learning model for the real-time concrete crack detection
Wang Qingyi, Bo Chen
Knowledge-Based Systems (2024) Vol. 301, pp. 112313-112313
Closed Access | Times Cited: 5
YOLO9tr: a lightweight model for pavement damage detection utilizing a generalized efficient layer aggregation network and attention mechanism
Sompote Youwai, Achitaphon Chaiyaphat, Pawarotorn Chaipetch
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 5
Closed Access | Times Cited: 5
Optimizing concrete crack detection an echo state network approach with improved fish migration optimization
Zhichun Fang, Xiuhong Wang, Jiaojiao Gao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A method of hierarchical feature fusion and adaptive receptive field for concrete pavement crack detection
Zhong Qu, Bin Yuan, Guoqing Mu
Signal Image and Video Processing (2025) Vol. 19, Iss. 1
Closed Access
Integrating smart city technologies for sustainable pavement infrastructure
Lara Sucupira Furtado, Iuri S. Bessa, Nayara de Oliveira Gurjão, et al.
Canadian Journal of Civil Engineering (2025)
Closed Access
Modified MobileNetV2 transfer learning model to detect road potholes
Neha Tanwar, Anil V. Turukmane
PeerJ Computer Science (2025) Vol. 11, pp. e2519-e2519
Open Access
Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding
Li Hui, Ahmed Ibrahim, Riyadh Hindi
Infrastructures (2025) Vol. 10, Iss. 2, pp. 42-42
Open Access
Synthetic Data Generation Techniques for Enhancing Crack Detection in Railway Concrete Sleepers
Enrique Aldao, L. Fernández-Pardo, Fernando Veiga-López, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement
Zhongmin Huangfu, Yibo Jiao, Fupeng Wei, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Exploring failure mechanisms in reinforced concrete slab-column joints: Machine learning and causal analysis
Aybike Özyüksel Çiftçioğlu
Engineering Failure Analysis (2025), pp. 109549-109549
Closed Access
Generative adversarial network for real-time identification and pixel-level annotation of highway pavement distresses
Mark Amo-Boateng, Yaw Adu‐Gyamfi
Automation in Construction (2025) Vol. 174, pp. 106122-106122
Closed Access
A review of crack research in concrete structures based on data-driven and intelligent algorithms
Congcong Fan, Youliang Ding, Xujia Liu, et al.
Structures (2025) Vol. 75, pp. 108800-108800
Closed Access
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
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