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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.

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Showing 1-25 of 56 citing articles:

Advances in artificial intelligence for structural health monitoring: A comprehensive review
Billie F. Spencer, Sung‐Han Sim, Robin E. Kim, et al.
KSCE Journal of Civil Engineering (2025) Vol. 29, Iss. 3, pp. 100203-100203
Open Access | Times Cited: 1
Pavement crack detection with hybrid-window attentive vision transformers
Shaozhang Xiao, Kaikai Shang, Ken Lin, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 116, pp. 103172-103172
Open Access | Times Cited: 41
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
UAV-based road crack object-detection algorithm
Xinyu He, Zhiwen Tang, Yubao Deng, et al.
Automation in Construction (2023) Vol. 154, pp. 105014-105014
Closed Access | Times Cited: 35
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Nils Hütten, Miguel Alves Gomes, Florian Hölken, et al.
Applied System Innovation (2024) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 13
Road defect detection based on improved YOLOv8s model
Jinlei Wang, Ruifeng Meng, Yuanhao Huang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
A Pavement Crack Detection and Evaluation Framework for a UAV Inspection System Based on Deep Learning
Xinbao Chen, Chang Liu, Long Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1157-1157
Open Access | Times Cited: 9
Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network
Narges Karimi, Mayank Mishra, Paulo B. Lourénço
International Journal of Architectural Heritage (2024), pp. 1-17
Closed Access | Times Cited: 8
Bibliometric Analysis and Review of Deep Learning-Based Crack Detection Literature Published between 2010 and 2022
Luqman Ali, Fady Alnajjar, Wasif Khan, et al.
Buildings (2022) Vol. 12, Iss. 4, pp. 432-432
Open Access | Times Cited: 34
Pavement Defect Detection With Deep Learning: A Comprehensive Survey
Lili Fan, Dandan Wang, Junhao Wang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 3, pp. 4292-4311
Closed Access | Times Cited: 19
Diagnostic accuracy of a deep learning model using YOLOv5 for detecting developmental dysplasia of the hip on radiography images
Hiroki Den, Jun‐ichi Ito, Akatsuki Kokaze
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
DFP-Net: A Crack Segmentation Method Based on a Feature Pyramid Network
Linjing Li, Ran Liu, Rashid Ali, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 651-651
Open Access | Times Cited: 5
A controllable generative model for generating pavement crack images in complex scenes
Hancheng Zhang, Zhendong Qian, Wei Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 12, pp. 1795-1810
Open Access | Times Cited: 5
An improved YOLOv10 algorithm for automated damage detection of glass curtain-walls in high-rise buildings
Kang Zhou, Jia-Le Shi, Jiyang Fu, et al.
Journal of Building Engineering (2025), pp. 111812-111812
Closed Access
RSODNet: Lightweight Remote Sensing Image Object Detection Combined with BCDNS Compression Algorithm
Xinyu Zhu, Zhihua Zhang, Wei Wang, et al.
Photogrammetric Engineering & Remote Sensing (2025) Vol. 91, Iss. 1, pp. 35-51
Closed Access
DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection
Weichao Pan, Jianmei Lei, Xu Wang, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1470-1470
Open Access
Enhancing Traffic Counting in Rainy Conditions: A Deep Learning Super Sampling and Multi-ROI Pixel Area Approach
Elly Warni, Alimuddin Alimuddin, A. Ejah Umraeni Salam, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 20095-20101
Open Access
Semantic segmentation and deep CNN learning vision-based crack recognition system for concrete surfaces: development and implementation
Yassir M. Abbas, Hussam Alghamdi
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
Enhancing Crack Segmentation Network with Multiple Selective Fusion Mechanisms
Chen Yang, Yang Tao, Shuai Dong, et al.
Buildings (2025) Vol. 15, Iss. 7, pp. 1088-1088
Open Access
STrans-YOLOX: Fusing Swin Transformer and YOLOX for Automatic Pavement Crack Detection
Hui Luo, Jiamin Li, Lianming Cai, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1999-1999
Open Access | Times Cited: 12
A Pavement Crack Detection and Evaluation Framework of UAV inspection System Based on Deep Learning
Xinbao Chen, Chang Liu, Long Chen, et al.
(2024)
Open Access | Times Cited: 4
Assessing the performance of YOLOv5, YOLOv6, and YOLOv7 in road defect detection and classification: a comparative study
Najiha ‘Izzaty Mohd Yusof, Ali Sophian, Hasan Firdaus Mohd Zaki, et al.
Bulletin of Electrical Engineering and Informatics (2023) Vol. 13, Iss. 1, pp. 350-360
Open Access | Times Cited: 10
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
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
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
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