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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 166 citing articles:

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
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
Novel visual crack width measurement based on backbone double-scale features for improved detection automation
Yunchao Tang, Zhaofeng Huang, Zheng Chen, et al.
Engineering Structures (2022) Vol. 274, pp. 115158-115158
Open Access | Times Cited: 146
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection
Yue Pan, Gaowei Zhang, Limao Zhang
Automation in Construction (2020) Vol. 119, pp. 103357-103357
Closed Access | Times Cited: 142
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks
Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, et al.
Lecture notes in computer science (2023), pp. 179-195
Closed Access | Times Cited: 42
Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures
Li Liu, Bo Shen, Shuchen Huang, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 258-258
Open Access | Times Cited: 2
Classification and quantification of cracks in concrete structures using deep learning image-based techniques
Majdi Flah, Ahmed R. Suleiman, Moncef L. Nehdi
Cement and Concrete Composites (2020) Vol. 114, pp. 103781-103781
Closed Access | Times Cited: 135
Cracking behaviour and constitutive modelling of hybrid fibre reinforced concrete
Mehran Khan, Mingli Cao, Majid Ali
Journal of Building Engineering (2020) Vol. 30, pp. 101272-101272
Closed Access | Times Cited: 116
Concrete Cracks Detection Based on FCN with Dilated Convolution
Jianming Zhang, Chaoquan Lu, Jin Wang, et al.
Applied Sciences (2019) Vol. 9, Iss. 13, pp. 2686-2686
Open Access | Times Cited: 85
Intelligent technologies for construction machinery using data-driven methods
Zhe Zheng, Fei Wang, Guofang Gong, et al.
Automation in Construction (2022) Vol. 147, pp. 104711-104711
Closed Access | Times Cited: 52
Automated concrete crack evaluation using stereo vision with two different focal lengths
Hyunjun Kim, Sung‐Han Sim, Billie F. Spencer
Automation in Construction (2022) Vol. 135, pp. 104136-104136
Closed Access | Times Cited: 39
Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms
Nhat‐Duc Hoang, Quoc-Lam Nguyen
Advances in Civil Engineering (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 69
Accurate and robust crack detection using steerable evidence filtering in electroluminescence images of solar cells
Haiyong Chen, Zhao Hui-fang, Da Han, et al.
Optics and Lasers in Engineering (2019) Vol. 118, pp. 22-33
Closed Access | Times Cited: 67
Intelligent detection of building cracks based on deep learning
Zheng Min-juan, Zhijun Lei, Kun Zhang
Image and Vision Computing (2020) Vol. 103, pp. 103987-103987
Closed Access | Times Cited: 62
Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches
Nhat‐Duc Hoang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 60
A fast adaptive crack detection algorithm based on a double-edge extraction operator of FSM
Qijun Luo, Baozhen Ge, Qingguo Tian
Construction and Building Materials (2019) Vol. 204, pp. 244-254
Closed Access | Times Cited: 55
Construction of Accurate Crack Identification on Concrete Structure using Hybrid Deep Learning Approach
Edriss Eisa Babikir Adam, A. Sathesh
Journal of Innovative Image Processing (2021) Vol. 3, Iss. 2, pp. 85-99
Open Access | Times Cited: 52
Automated crack pattern recognition from images for condition assessment of concrete structures
Yiqing Liu, Justin K. W. Yeoh
Automation in Construction (2021) Vol. 128, pp. 103765-103765
Closed Access | Times Cited: 47
Image-based crack detection approaches: a comprehensive survey
Priyanka Gupta, Manish Dixit
Multimedia Tools and Applications (2022) Vol. 81, Iss. 28, pp. 40181-40229
Closed Access | Times Cited: 36
Identifying defective solar cells in electroluminescence images using deep feature representations
Alaa S. Al‐Waisy, Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e992-e992
Open Access | Times Cited: 29
CrackViT: a unified CNN-transformer model for pixel-level crack extraction
Jianing Quan, Baozhen Ge, Min Wang
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 10957-10973
Closed Access | Times Cited: 20
Automated pixel-level crack detection and quantification using deep convolutional neural networks for structural condition assessment
Jingyue Yuan, Qiubing Ren, Chao Jia, et al.
Structures (2023) Vol. 59, pp. 105780-105780
Closed Access | Times Cited: 20
Automated crack extension measurement method for fracture and fatigue analysis using digital image correlation
Vipin Chandra, Pritam Chakraborty
Engineering Fracture Mechanics (2024) Vol. 305, pp. 110182-110182
Closed Access | Times Cited: 7
Pixel-level concrete bridge crack detection using Convolutional Neural Networks, gabor filters, and attention mechanisms
Hajar Zoubir, Mustapha Rguig, Mohamed El Aroussi, et al.
Engineering Structures (2024) Vol. 314, pp. 118343-118343
Closed Access | Times Cited: 7
Deep Learning for Concrete Crack Detection and Measurement
Mthabisi Adriano Nyathi, J. Bai, Ian Wilson
Metrology (2024) Vol. 4, Iss. 1, pp. 66-81
Open Access | Times Cited: 6
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