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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:

Road surface crack detection method based on improved YOLOv5 and vehicle-mounted images
Hongwei Hu, Zirui Li, Zhiyi He, et al.
Measurement (2024) Vol. 229, pp. 114443-114443
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Enhanced end-to-end regression algorithm for autonomous road damage detection
Hongjia Xing, Feng Yang, Xu Qiao, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access | Times Cited: 1
Lightweight network for millimeter-level concrete crack detection with dense feature connection and dual attention
Xiao Ma, Yang Li, Zijiang Yang, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 109821-109821
Open Access | Times Cited: 8
GLE-YOLO: intelligent detection of road linear damage in shadow condition
Zhaopeng Zhang, Zhijie Xu, Jianqin Zhang
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access
A novel method of void detection in rebar-affected areas based on transfer learning and improved YOLOv8
Xiaohua Bao, Jiazhi Huang, Jun Shen, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106440-106440
Closed Access
Road object localization and detection of thermal infrared images using a recursive gated convolution cross-aggregation network
Min Li, Jinhui Lan, Luyang Wang
Measurement (2025) Vol. 248, pp. 116971-116971
Closed Access
RIEC-YOLO: an improved road defect detection model based on YOLOv8
Teng Liu, Minming Gu, Sihan Sun
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
A Novel Measuring Method for Drop Strength of Green Pellets Using Machine Vision
Shuyi Zhou, Xiaoyan Liu, Fei Li
(2025)
Closed Access
DSWMamba: A deep feature fusion mamba network for detection of asphalt pavement distress
Pore-Feng Sun, Lina Yang, Haoyan Yang, et al.
Construction and Building Materials (2025) Vol. 469, pp. 140393-140393
Closed Access
Stamping part surface crack detection based on machine vision
Xiaokang Ma, Zhengshui Kang, Chenghan Pu, et al.
Measurement (2025), pp. 117168-117168
Closed Access
Failure analysis and on-line damage monitoring based on deep-learning for thermo-oxidative aged 3D angle-interlock woven composites under tension
Yanan Ke, Chaofeng Han, Baozhong Sun, et al.
Engineering Failure Analysis (2025), pp. 109484-109484
Closed Access
Weak feature crack detection in high-resolution concrete dam surface image with LarkMNet
Jianyuan Li, Xiaochun Lu, Ping Zhang, et al.
Measurement (2024) Vol. 238, pp. 115327-115327
Open Access | Times Cited: 3
Research on steel surface defect detection system based on YOLOv5s-SE-CA model and BEMD image enhancement
Shan Wang, Xueke Fan, Zi‐Ye Zhao, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 3
YOLOv5s-road: Road surface defect detection under engineering environments based on CNN-transformer and adaptively spatial feature fusion
Tian Jiang, Zhiyang Liu, Guang-Zhu Zhang
Measurement (2024), pp. 115990-115990
Closed Access | Times Cited: 2
Road Surface Defect Detection Based on Partial Convolution and Global Attention
Xiaoneng Xie
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 2
Deep learning-based method for detection and feature quantification of microscopic cracks on the surface of concrete dams
Xiaochun Lu, Qingquan Li, Jianyuan Li, et al.
Measurement (2024) Vol. 240, pp. 115587-115587
Closed Access | Times Cited: 2
Automatic detection and classification of road defects on a global-scale for the comfort and safety of traffic components: Embedded system
Ömer Kaya, Muhammed Yasin Çodur
Measurement (2024) Vol. 243, pp. 116453-116453
Closed Access | Times Cited: 1
AI‐enabled airport runway pavement distress detection using dashcam imagery
Arman Malekloo, Xiaoyue Cathy Liu, David Sacharny
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 1
Investigation on a Lightweight Defect Detection Model for Photovoltaic Panel
Feng Bin, Kang Qiu, Zhi Zheng, et al.
(2024)
Closed Access | Times Cited: 1
Investigation on a lightweight defect detection model for photovoltaic panel
Feng Bin, Kang Qiu, Zhi Zheng, et al.
Measurement (2024) Vol. 236, pp. 115121-115121
Closed Access | Times Cited: 1
CiC-NET: a real-time semantic segmentation network for dam surface crack detection
Linjing Li, Hao Zhao, Ran Liu, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Scd-yolo: a novel object detection method for efficient road crack detection
Kuiye Ding, Zhenhui Ding, Zengbin Zhang, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
A new network model for multiple object detection for autonomous vehicle detection in mining environment
Muhammad Wahab Hanif, Zhenhua Yu, Rehmat Bashir, et al.
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3277-3287
Open Access
Enhancing autonomous pavement crack detection: Optimizing YOLOv5s algorithm with advanced deep learning techniques
Shuangxi Zhou, Dan Yang, Ziyu Zhang, et al.
Measurement (2024) Vol. 240, pp. 115603-115603
Open Access
A segmentation-combination data augmentation strategy and dual attention mechanism for accurate Chinese herbal medicine microscopic identification
Xiaoying Zhu, Guangyao Pang, Xi He, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
Optimized AI Methods for Rapid Crack Detection in Microscopy Images
Chenxukun Lou, Lawrence Tinsley, Fabian Duarte Martinez, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4824-4824
Open Access
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