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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 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

Showing 12 citing articles:

A Method for Surveying Road Pavement Distress Based on Front-View Image Data Using a Lightweight Segmentation Approach
Yuanji Yang, Hui Wang, Junyang Kang, et al.
Journal of Computing in Civil Engineering (2024) Vol. 38, Iss. 5
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
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
Pixel-level pavement crack segmentation using UAV remote sensing images based on the ConvNeXt-UPerNet
Hatem Taha, Hossam M. Farid El-Habrouk, Wael Bekheet, et al.
Alexandria Engineering Journal (2025) Vol. 124, pp. 147-169
Closed Access
A robust self-supervised approach for fine-grained crack detection in concrete structures
Muhammad Sohaib, Md Junayed Hasan, Mohd Asif Shah, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
An investigation of texture-friction relationship with laboratory ring-shaped asphalt mixture specimens via close-range photogrammetry
Jingtao Zhong, Jing Zhang, Kai Huang, et al.
Construction and Building Materials (2024) Vol. 442, pp. 137508-137508
Closed Access | Times Cited: 3
Automatic Detection of Urban Pavement Distress and Dropped Objects with a Comprehensive Dataset Collected via Smartphone
Lin Xu, Kaimin Fu, Tao Ma, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1546-1546
Open Access | Times Cited: 2
Image-based severity analysis of Asphalt pavement bleeding using a metaheuristic-boosted fuzzy classifier
Sajad Ranjbar, Fereidoon Moghadas Nejad, Hamzeh Zakeri
Automation in Construction (2024) Vol. 166, pp. 105655-105655
Closed Access | Times Cited: 1
Classification of different size of potholes based on surface area using convolutional neural network
Chauhdary Fazeel Ahmad, Ammar T. Al-Sayegh, Abdullah Cheema, et al.
Deleted Journal (2024) Vol. 6, Iss. 9
Open Access
Automated evaluation of snow and ice conditions on airport pavement: A study based on image recognition and point cloud reconstruction
Hanglin Cheng, Tao Peng, Yiming Zhang, et al.
Measurement (2024) Vol. 242, pp. 116200-116200
Closed Access
Optimizing Pavement Distress Detection with UAV: A Comparative Study of Vision Transformer and Convolutional Neural Networks
Yao Zhang, Jiajun Chen, Zheng‐Guang Wu, et al.
KSCE Journal of Civil Engineering (2024), pp. 100095-100095
Open Access
Optimizing Road Damage Detection with YOLOv10: A Resource-Efficient Approach Utilizing Augmentation, Data Sampling, and Hyperparameter Tuning
Ashkan Behzadian, Tanner Muturi, Neema Jakisa Owor, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8439-8446
Closed Access
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