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:

A grid‐based classification and box‐based detection fusion model for asphalt pavement crack
Bao‐Luo Li, Qi Yu, Jian‐Sheng Fan, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 16, pp. 2279-2299
Closed Access | Times Cited: 19

Showing 19 citing articles:

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

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 | Times Cited: 1

Region of interest (ROI) extraction and crack detection for UAV-based bridge inspection using point cloud segmentation and 3D-to-2D projection
Xiao Jing-lin, Jian‐Sheng Fan, Yufei Liu, et al.
Automation in Construction (2023) Vol. 158, pp. 105226-105226
Closed Access | Times Cited: 16

Full-field deformation measurement and cracks detection in speckle scene using the deep learning-aided digital image correlation method
Shanshan Yu, Jian Zhang, Chengpeng Zhu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111131-111131
Closed Access | Times Cited: 7

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

A graph attention reasoning model for prefabricated component detection
Manxu Zhou, Guanting Ye, Ka‐Veng Yuen, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

Deep line segment detection for concrete pavement distress assessment
Yuanhao Guo, Yanqiang Huo, Ning Cheng, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access

A method of concrete damage detection and localization based on weakly supervised learning
Yongqing Jiang, Dandan Pang, Chengdong Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 7, pp. 1042-1060
Closed Access | Times Cited: 12

Road crack detection interpreting background images by convolutional neural networks and a self‐organizing map
Takahiro Yamaguchi, Tsukasa Mizutani
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 11, pp. 1616-1640
Open Access | Times Cited: 12

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

Crack-MsCGA: A Deep Learning Network with Multi-Scale Attention for Pavement Crack Detection
Guoxi Liu, Xiaojing Wu, Fei Dai, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2446-2446
Open Access

Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images
Hong-Hu Chu, Lizhi Long, Jingjing Guo, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 539-558
Closed Access | Times Cited: 10

The Bike Path Radar: A Dashboard to Provide New Information About Bicycle Infrastructure Quality
Michael Birke, Florian Dyck, Mukhran Kamashidze, et al.
Progress in IS (2024), pp. 95-113
Closed Access | Times Cited: 3

A neural network‐based automated methodology to identify the crack causes in masonry structures
Antonino Iannuzzo, V. Musone, Eugenio Ruocco
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 3

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: 2

Performance evaluation of existing reinforced concrete hollow-slab beams: Experiments and fibre beam element-based model updating
Xiao Jing-lin, Yufei Liu, Hui Feng, et al.
Engineering Structures (2024) Vol. 326, pp. 119559-119559
Closed Access | Times Cited: 1

Bayesian backcalculation of pavement properties using parallel transitional Markov chain Monte Carlo
Keaton Coletti, Ryan C. Romeo, R. Benjamin Davis
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 13, pp. 1911-1927
Open Access | Times Cited: 3

Classification of different size of potholes based on surface area using convolutional neural network
Chauhdary Fazeel Ahmad, Ammar T. Al-Sayegh, Abdullah Cheema, et al.
Deleted Journal (2024) Vol. 6, Iss. 9
Open Access

An adaptable rotated bounding box method for automatic detection of arbitrary-oriented cracks
Yonghui An, Lingxue Kong, Chuan-Chuan Hou, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3312-3335
Closed Access

Automated subway tunnel lining crack classification and detection based on two-step sequential convolutional neural network
Chao Tang, Yu-Fei Liu, Bao‐Luo Li, et al.
Journal of Civil Structural Health Monitoring (2024)
Closed Access

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