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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:

Automatic Pavement Crack Detection Fusing Attention Mechanism
Ren Jun-hua, Guowu Zhao, Yadong Ma, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3622-3622
Open Access | Times Cited: 20

Showing 20 citing articles:

Segmentation Detection Method for Complex Road Cracks Collected by UAV Based on HC-Unet++
Hongbin Cao, Yuxi Gao, Weiwei Cai, et al.
Drones (2023) Vol. 7, Iss. 3, pp. 189-189
Open Access | Times Cited: 20
An Intelligent Detection and Classification Model Based on Computer Vision for Pavement Cracks in Complicated Scenarios
Yue Wang, Qingjie Qi, Lifeng Sun, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2909-2909
Open Access | Times Cited: 4
Development and optimization of object detection technology in civil engineering: A literature review
Hui Yao, Yaning Fan, Yanhao Liu, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 2, pp. 163-188
Open Access | Times Cited: 4
Properties of 3D Printed TPSiV/SBS/CR Composite–Modified Asphalt Sealant: Rheology, Aging Resistance, and Antifatigue Performance
Huiyun Xia, Xiwen Xue, Xu Li, et al.
Journal of Materials in Civil Engineering (2025) Vol. 37, Iss. 4
Closed Access
Detection of Flexible Pavement Surface Cracks in Coastal Regions Using Deep Learning and 2D/3D Images
Carlos Sanchez, Feng Wang, Yongsheng Bai, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1145-1145
Open Access
Crack identification for marine engineering equipment based on improved SSD and YOLOv5
Ziguang Jia, Xin Su, Guangda Ma, et al.
Ocean Engineering (2022) Vol. 268, pp. 113534-113534
Closed Access | Times Cited: 20
Research on Asphalt Pavement Crack Detection using YOLOv5 Model
Wenxiu Wu, Xiaoyong Zou, Zhihua Fang, et al.
(2024), pp. 1397-1401
Closed Access | Times Cited: 2
Modification and Evaluation of Attention-Based Deep Neural Network for Structural Crack Detection
Hangming Yuan, Tao Jin, Xiao‐Wei Ye
Sensors (2023) Vol. 23, Iss. 14, pp. 6295-6295
Open Access | Times Cited: 6
Data-driven approach for AI-based crack detection: techniques, challenges, and future scope
Priti Chakurkar, Deepali Vora, Shruti Patil, et al.
Frontiers in Sustainable Cities (2023) Vol. 5
Open Access | Times Cited: 5
A Framework For Precise Road Damage Detection Using Deep Learning
M Mythili, D. Janani, D S Madhumitha, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Research on Real-Time Detection Algorithm for Pavement Cracks Based on SparseInst-CDSM
Shaojie Wang, Jikai Zhang, Xiaoqi Lu
Mathematics (2023) Vol. 11, Iss. 15, pp. 3277-3277
Open Access | Times Cited: 4
Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks
Kaifeng Ma, Meng Xiang, Mengshu Hao, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7272-7272
Open Access | Times Cited: 4
Research on road damage recognition and classification based on improved VGG-19
Jiaqi Wang, Kaihang Wang, Kexin Li
Mathematical Models in Engineering (2023) Vol. 9, Iss. 4, pp. 115-129
Open Access | Times Cited: 4
Explainable AI for Detecting Fissures on Concrete Surfaces Using Transfer Learning
S Kavitha, K. R. Baskaran, B. Dhanapriya
2022 International Conference on Inventive Computation Technologies (ICICT) (2023), pp. 376-384
Closed Access | Times Cited: 3
Automated pavement crack detection based on multiscale fully convolutional network
Xin Wang, Yueming Wang, Lingjun Yu, et al.
The Journal of Engineering (2023) Vol. 2023, Iss. 10
Open Access | Times Cited: 3
Multiple Road Fissures Detection Using Deep Learning Algorithm
S Ragavi, D. Banumathy, M. Rameshkumar, et al.
International Journal of Scientific Research in Science and Technology (2024) Vol. 11, Iss. 3, pp. 412-419
Open Access
How to Make a State of the Art Report—Case Study—Image-Based Road Crack Detection: A Scientometric Literature Review
Luxin Fan, Saihong Tang, Mohd Khairol Anuar Mohd Ariffin, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4817-4817
Open Access
Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning
Kaifeng Ma, Mengshu Hao, Meng Xiang, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5004-5004
Open Access
Recent advances in crack detection technologies for structures: a survey of 2022-2023 literature
Hessam Kaveh, Reda Alhajj
Frontiers in Built Environment (2024) Vol. 10
Open Access
Empirical Modeling of Transverse Displacements of Single-Sided Transversely Cracked Prismatic Tension Beams
Matjaž Skrinar
Modelling—International Open Access Journal of Modelling in Engineering Science (2022) Vol. 3, Iss. 4, pp. 481-498
Open Access
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