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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:

Modeling automatic pavement crack object detection and pixel-level segmentation
Yuchuan Du, Shan Zhong, Hongyuan Fang, et al.
Automation in Construction (2023) Vol. 150, pp. 104840-104840
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Automatic pavement crack segmentation using a generative adversarial network (GAN)-based convolutional neural network
Zhihao Pan, Stephen Lau, Xu Yang, et al.
Results in Engineering (2023) Vol. 19, pp. 101267-101267
Open Access | Times Cited: 26
MED-YOLOv8s: a new real-time road crack, pothole, and patch detection model
Minghu Zhao, Yaoheng Su, Jiuxin Wang, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 2
Closed Access | Times Cited: 13
Network for robust and high-accuracy pavement crack segmentation
Yingchao Zhang, Cheng Liu
Automation in Construction (2024) Vol. 162, pp. 105375-105375
Closed Access | Times Cited: 12
An end-to-end computer vision system based on deep learning for pavement distress detection and quantification
Saúl Cano-Ortiz, L. Lloret Iglesias, P. Martínez Ruiz del Árbol, et al.
Construction and Building Materials (2024) Vol. 416, pp. 135036-135036
Open Access | Times Cited: 11
Research on automatic pavement crack identification Based on improved YOLOv8
Hongyu Wang, Xiao Han, Xifa Song, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 6, pp. 3773-3783
Closed Access | Times Cited: 10
Automation in road distress detection, diagnosis and treatment
Xu Yang, Jianqi Zhang, Wenbo Liu, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 1, pp. 1-26
Open Access | Times Cited: 10
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
Segment-to-track for pavement crack with light-weight neural network on unmanned wheeled robot
Jianqi Zhang, Xu Yang, Wei Wang, et al.
Automation in Construction (2024) Vol. 161, pp. 105346-105346
Closed Access | Times Cited: 7
ADNet: Anti-noise dual-branch network for road defect detection
Bin Wan, Xiaofei Zhou, Yaoqi Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107963-107963
Closed Access | Times Cited: 5
Bayesian optimization based extreme gradient boosting and GPR time-frequency features for the recognition of moisture damage in asphalt pavement
Hongwei Li, Jun Zhang, Xiaokun Yang, et al.
Construction and Building Materials (2024) Vol. 434, pp. 136675-136675
Closed Access | Times Cited: 5
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
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
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
Imaging‐Based Instance Segmentation of Pavement Cracks Using an Improved YOLOv8 Network
Fei Yu, Guanting Ye, Qing Jiang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Topology-informed deep learning for pavement crack detection: Preserving consistent crack structure and connectivity
Jiayv Jing, Ling Ding, Xu Yang, et al.
Automation in Construction (2025) Vol. 174, pp. 106120-106120
Closed Access
Lightweight convolutional neural network driven by small data for asphalt pavement crack segmentation
Liang Jia, Qipeng Zhang, Xingyu Gu
Automation in Construction (2023) Vol. 158, pp. 105214-105214
Closed Access | Times Cited: 10
Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network
Domen Tabernik, Matic Šuc, Danijel Skočaj
Construction and Building Materials (2023) Vol. 408, pp. 133582-133582
Closed Access | Times Cited: 9
Pavement distress detection based on improved feature fusion network
Peng Wu, Jing Wu, Luqi Xie
Measurement (2024) Vol. 236, pp. 115119-115119
Closed Access | Times Cited: 3
Enhanced concrete crack detection and proactive safety warning based on I-ST-UNet model
He Zhang, Leyuan Ma, Zhenmin Yuan, et al.
Automation in Construction (2024) Vol. 166, pp. 105612-105612
Closed Access | Times Cited: 3
Intelligent pavement condition survey: Overview of current researches and practices
Allen Zhang, Jing Shang, Baoxian Li, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 3, pp. 257-281
Open Access | Times Cited: 3
Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance
Saúl Cano-Ortiz, L. Lloret Iglesias, P. Martínez Ruiz del Árbol, et al.
Developments in the Built Environment (2023) Vol. 17, pp. 100315-100315
Open Access | Times Cited: 7
GoogleNet transfer learning with improved gorilla optimized kernel extreme learning machine for accurate detection of asphalt pavement cracks
Hanlei Lin
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 2853-2868
Closed Access | Times Cited: 2
Concrete crack segmentation based on multi-dimensional structure information fusion-based network
Airong Liu, Wenbin Hua, Jiaming Xu, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134982-134982
Closed Access | Times Cited: 2
Automated instance segmentation of asphalt pavement patches based on deep learning
Anzheng He, Allen Zhang, Xinyi Xu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
SAW-YOLO: A Multi-Scale YOLO for Small Target Citrus Pests Detection
Xiaojiang Wu, Jinzhe Liang, Yiyu Yang, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1571-1571
Open Access | Times Cited: 2
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