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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:

Image Based Techniques for Crack Detection, Classification and Quantification in Asphalt Pavement: A Review
Hamzeh Zakeri, Fereidoon Moghadas Nejad, Ahmad Fahimifar
Archives of Computational Methods in Engineering (2016) Vol. 24, Iss. 4, pp. 935-977
Closed Access | Times Cited: 239

Showing 1-25 of 239 citing articles:

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki
Engineering (2019) Vol. 5, Iss. 2, pp. 199-222
Open Access | Times Cited: 851
Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
Nhat‐Duc Hoang, Quoc-Lam Nguyen, Van-Duc Tran
Automation in Construction (2018) Vol. 94, pp. 203-213
Closed Access | Times Cited: 299
A systematic review of convolutional neural network-based structural condition assessment techniques
Sandeep Sony, Kyle Dunphy, Ayan Sadhu, et al.
Engineering Structures (2020) Vol. 226, pp. 111347-111347
Closed Access | Times Cited: 292
Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques
Jack C.P. Cheng, Mingzhu Wang
Automation in Construction (2018) Vol. 95, pp. 155-171
Closed Access | Times Cited: 284
A critical review and comparative study on image segmentation-based techniques for pavement crack detection
Narges Kheradmandi, Vida Mehranfar
Construction and Building Materials (2022) Vol. 321, pp. 126162-126162
Closed Access | Times Cited: 232
The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis
Yue Hou, Qiuhan Li, Chen Zhang, et al.
Engineering (2020) Vol. 7, Iss. 6, pp. 845-856
Open Access | Times Cited: 210
A novel method for asphalt pavement crack classification based on image processing and machine learning
Nhat‐Duc Hoang, Quoc-Lam Nguyen
Engineering With Computers (2018) Vol. 35, Iss. 2, pp. 487-498
Closed Access | Times Cited: 177
Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery
Yifan Pan, Xianfeng Zhang, Guido Cervone, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 10, pp. 3701-3712
Open Access | Times Cited: 174
Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding
Nhat‐Duc Hoang
Advances in Civil Engineering (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 166
Computer vision framework for crack detection of civil infrastructure—A review
Dihao Ai, Guiyuan Jiang, Siew-Kei Lam, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105478-105478
Closed Access | Times Cited: 149
Pavement asset management systems and technologies: A review
Naga Siva Pavani Peraka, Krishna Prapoorna Biligiri
Automation in Construction (2020) Vol. 119, pp. 103336-103336
Closed Access | Times Cited: 138
Machine learning techniques for pavement condition evaluation
Nima Sholevar, Amir Golroo, Sahand Roghani Esfahani
Automation in Construction (2022) Vol. 136, pp. 104190-104190
Closed Access | Times Cited: 122
Automated extraction and evaluation of fracture trace maps from rock tunnel face images via deep learning
Jiayao Chen, Mingliang Zhou, Hongwei Huang, et al.
International Journal of Rock Mechanics and Mining Sciences (2021) Vol. 142, pp. 104745-104745
Closed Access | Times Cited: 112
Review on computer vision-based crack detection and quantification methodologies for civil structures
Jianghua Deng, Amardeep Singh, Yiyi Zhou, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129238-129238
Closed Access | Times Cited: 105
Surface concrete cracks detection and segmentation using transfer learning and multi-resolution image processing
Mostafa Iraniparast, Sajad Ranjbar, Mohammad Rahai, et al.
Structures (2023) Vol. 54, pp. 386-398
Closed Access | Times Cited: 46
A Review of Detection Technologies for Underwater Cracks on Concrete Dam Surfaces
Dong Chen, Ben Huang, Fei Kang
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3564-3564
Open Access | Times Cited: 43
Deep learning for surface crack detection in civil engineering: A comprehensive review
Haiyan Zhuang, Yikai Cheng, Man Zhou, et al.
Measurement (2025), pp. 116908-116908
Closed Access | Times Cited: 1
Pavement Distress Detection Methods: A Review
Antonella Ragnoli, Maria Rosaria De Blasiis, Alessandro Di Benedetto
Infrastructures (2018) Vol. 3, Iss. 4, pp. 58-58
Open Access | Times Cited: 155
An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter‐Based Feature Extraction
Nhat‐Duc Hoang
Advances in Civil Engineering (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 143
Pavement crack detection and recognition using the architecture of segNet
Tingyang Chen, Zhenhua Cai, Xi Zhao, et al.
Journal of Industrial Information Integration (2020) Vol. 18, pp. 100144-100144
Closed Access | Times Cited: 133
Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony
Nhat‐Duc Hoang, Quoc-Lam Nguyen, Dieu Tien Bui
Journal of Computing in Civil Engineering (2018) Vol. 32, Iss. 5
Closed Access | Times Cited: 120
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Zhun Fan, Chong Li, Ying Chen, et al.
Coatings (2020) Vol. 10, Iss. 2, pp. 152-152
Open Access | Times Cited: 119
Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network
Ju Huyan, Wei Li, Susan Tighe, et al.
Automation in Construction (2019) Vol. 107, pp. 102946-102946
Closed Access | Times Cited: 117
Pavement crack image acquisition methods and crack extraction algorithms: A review
Weixing Wang, Mengfei Wang, Hongxia Li, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2019) Vol. 6, Iss. 6, pp. 535-556
Open Access | Times Cited: 117
Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features
Song Wei-dong, Guohui Jia, Hong Zhu, et al.
Journal of Advanced Transportation (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 110
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