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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:

Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images
Shuai Teng, Zongchao Liu, Xiaoda Li
Buildings (2022) Vol. 12, Iss. 8, pp. 1225-1225
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification
Sandra Matarneh, Faris Elghaish, Farzad Pour Rahimian, et al.
Automation in Construction (2024) Vol. 160, pp. 105297-105297
Open Access | Times Cited: 25
Research on a U-Net Bridge Crack Identification and Feature-Calculation Methods Based on a CBAM Attention Mechanism
Huifeng Su, Xiang Wang, Tao Han, et al.
Buildings (2022) Vol. 12, Iss. 10, pp. 1561-1561
Open Access | Times Cited: 39
Surface defect detection of civil structures using images: Review from data perspective
Jingjing Guo, Pengkun Liu, Bo Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105186-105186
Closed Access | Times Cited: 35
Combining the YOLOv4 Deep Learning Model with UAV Imagery Processing Technology in the Extraction and Quantization of Cracks in Bridges
Szu‐Pyng Kao, Yung-Chen Chang, Fengliang Wang
Sensors (2023) Vol. 23, Iss. 5, pp. 2572-2572
Open Access | Times Cited: 26
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
Detecting surface defects of heritage buildings based on deep learning
Xiaoli Fu, Niwat Angkawisittpan
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 8
Semantic Segmentation of Metal Surface Defects and Corresponding Strategies
Zhao Zhang, Weibo Wang, Xiaoyan Tian
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 18
Discovery and Classification of Defects on Facing Brick Specimens Using a Convolutional Neural Network
Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5413-5413
Open Access | Times Cited: 14
An modified intelligent real-time crack detection method for bridge based on improved target detection algorithm and transfer learning
Yang Yang, Long Li, Gang Yao, et al.
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 5
MAFF-Net: PCB defect detection via feature-enhancement fusion
Jian Chen, Shouyin Wang, Ziyuan Chen, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 2, pp. 026137-026137
Closed Access
Detection model of electroplated diamond wire surface abrasive distribution characteristics based on YOLO-EDW
Wenbin Huang, Yufei Gao, Guanzheng Li, et al.
Precision Engineering (2025)
Closed Access
Multi-Scale Crack Detection and Quantification of Concrete Bridges Based on Aerial Photography and Improved Object Detection Network
Liming Zhou, Haowen Jia, Shang Jiang, et al.
Buildings (2025) Vol. 15, Iss. 7, pp. 1117-1117
Open Access
Multi-class segmentation of structural damage and pathological manifestations using YOLOv8 and Segment Anything Model
Paulo Alberto Sampaio Santos, Michele Tereza Marques Carvalho
Automation in Construction (2025) Vol. 172, pp. 106037-106037
Closed Access
Image-To-Insight: A novel workflow for converting post-disaster imagery of historic masonry structures into actionable data
J. Kallas, Rebecca Napolitano
International Journal of Disaster Risk Reduction (2025), pp. 105358-105358
Closed Access
Detection of Surface Defects on Railway Tracks Based on Deep Learning
Maoli Wang, Kaizhi Li, Xiao Fang Zhu, et al.
IEEE Access (2022) Vol. 10, pp. 126451-126465
Open Access | Times Cited: 17
UAV-Based Low Altitude Remote Sensing for Concrete Bridge Multi-Category Damage Automatic Detection System
Liang Han, Seong‐Cheol Lee, Suyoung Seo
Drones (2023) Vol. 7, Iss. 6, pp. 386-386
Open Access | Times Cited: 10
CDD-TR: Automated concrete defect investigation using an improved deformable transformers
Minh Hoang Dang, Hanxiang Wang, Tri‐Hai Nguyen, et al.
Journal of Building Engineering (2023) Vol. 75, pp. 106976-106976
Closed Access | Times Cited: 9
Data-Driven Semantic Segmentation Method for Detecting Metal Surface Defects
Zhao Zhang, Weibo Wang, Xiaoyan Tian, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 15676-15689
Closed Access | Times Cited: 2
Multidamage Identification in High-Resolution Concrete Bridge Component Imagery Based on Deep Learning
Hai-En Tang, Ting‐Hua Yi, Songhan Zhang, et al.
Journal of Performance of Constructed Facilities (2024) Vol. 38, Iss. 5
Closed Access | Times Cited: 2
Optimized Lightweight Edge Computing Platform for UAV-Assisted Detection of Concrete Deterioration beneath Bridge Decks
Jui‐Sheng Chou, Chi‐Yun Liu
Journal of Computing in Civil Engineering (2024) Vol. 39, Iss. 1
Closed Access | Times Cited: 2
An underwater crack detection method based on improved YOLOv8
Xiaofei Li, Langxing Xu, Mengpu Wei, et al.
Ocean Engineering (2024) Vol. 313, pp. 119508-119508
Closed Access | Times Cited: 2
An enhanced YOLOv8n object detector for synthetic diamond quality evaluation
Shixiong Zhang, Ang Li, Jianxin Ren, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Bolt Positioning Detection Based on Improved YOLOv5 for Bridge Structural Health Monitoring
Diyong Wang, Meixia Zhang, Danjie Sheng, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 396-396
Open Access | Times Cited: 8
3D Dense Reconstruction for Structural Defect Quantification
Rishabh Bajaj, Zaid Abbas Al‐Sabbag, Chul Min Yeum, et al.
ASCE OPEN Multidisciplinary Journal of Civil Engineering (2024) Vol. 2, Iss. 1
Closed Access | Times Cited: 1
A defect detection network for painted wall surfaces based on YOLOv5 enhanced by attention mechanism and bi-directional FPN
Hongyang Zhang, Shuai Ji, Yingxin Ye, et al.
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10391-10402
Closed Access | Times Cited: 1
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