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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 143 citing articles:

Machine Learning for Crack Detection: Review and Model Performance Comparison
Yung‐An Hsieh, Yichang Tsai
Journal of Computing in Civil Engineering (2020) Vol. 34, Iss. 5
Closed Access | Times Cited: 283
Image-Based Crack Detection Methods: A Review
Hafiz Suliman Munawar, Ahmed W. A. Hammad, Assed Haddad, et al.
Infrastructures (2021) Vol. 6, Iss. 8, pp. 115-115
Open Access | Times Cited: 197
New innovations in pavement materials and engineering: A review on pavement engineering research 2021
Jiaqi Chen, Han-Cheng Dan, Yongjie Ding, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2021) Vol. 8, Iss. 6, pp. 815-999
Open Access | Times Cited: 146
Convolutional neural networks based potholes detection using thermal imaging
Aparna, Yukti Bhatia, Rachna Rai, et al.
Journal of King Saud University - Computer and Information Sciences (2019) Vol. 34, Iss. 3, pp. 578-588
Open Access | Times Cited: 145
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
Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
Nachuan Ma, Jiahe Fan, Wenshuo Wang, et al.
Transportation Safety and Environment (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 68
Pixel-level road crack detection in UAV remote sensing images based on ARD-Unet
Yuxi Gao, Hongbin Cao, Weiwei Cai, et al.
Measurement (2023) Vol. 219, pp. 113252-113252
Closed Access | Times Cited: 40
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
Minh-Tu Cao, Quoc‐Viet Tran, Ngoc‐Mai Nguyen, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101182-101182
Closed Access | Times Cited: 105
Smart Pothole Detection Using Deep Learning Based on Dilated Convolution
Khaled Ragab
Sensors (2021) Vol. 21, Iss. 24, pp. 8406-8406
Open Access | Times Cited: 86
Automatic detection of asphalt pavement raveling using image texture based feature extraction and stochastic gradient descent logistic regression
Nhat‐Duc Hoang
Automation in Construction (2019) Vol. 105, pp. 102843-102843
Closed Access | Times Cited: 81
Asphalt Pavement Pothole Detection using Deep learning method based on YOLO Neural Network
Ernin Niswatul Ukhwah, Eko Mulyanto Yuniarno, Yoyon K. Suprapto
(2019), pp. 35-40
Closed Access | Times Cited: 80
Estimating punching shear capacity of steel fibre reinforced concrete slabs using sequential piecewise multiple linear regression and artificial neural network
Nhat‐Duc Hoang
Measurement (2019) Vol. 137, pp. 58-70
Closed Access | Times Cited: 76
Concrete Crack Detection Based on Well-Known Feature Extractor Model and the YOLO_v2 Network
Shuai Teng, Zongchao Liu, Gongfa Chen, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 813-813
Open Access | Times Cited: 61
Review of Recent Automated Pothole-Detection Methods
Young‐Mok Kim, Young-Gil Kim, Seung-Yong Son, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5320-5320
Open Access | Times Cited: 60
A review of the research and application of deep learning-based computer vision in structural damage detection
Lingxin Zhang, Junkai Shen, Zhu Baijie
Earthquake Engineering and Engineering Vibration (2022) Vol. 21, Iss. 1, pp. 1-21
Closed Access | Times Cited: 58
Pothole and Plain Road Classification Using Adaptive Mutation Dipper Throated Optimization and Transfer Learning for Self Driving Cars
Amel Ali Alhussan, Doaa Sami Khafaga, El-Sayed M. El-kenawy, et al.
IEEE Access (2022) Vol. 10, pp. 84188-84211
Open Access | Times Cited: 54
Automatic surface crack detection using segmentation-based deep-learning approach
Deepa Joshi, Thipendra P. Singh, Gargeya Sharma
Engineering Fracture Mechanics (2022) Vol. 268, pp. 108467-108467
Closed Access | Times Cited: 42
Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions
José García, Gabriel Villavicencio, Francisco Altimiras, et al.
Automation in Construction (2022) Vol. 142, pp. 104532-104532
Closed Access | Times Cited: 42
Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison
Ritha Nyirandayisabye, Huixia Li, Qiming Dong, et al.
Results in Engineering (2022) Vol. 16, pp. 100657-100657
Open Access | Times Cited: 42
Automatic Pixel-level pavement sealed crack detection using Multi-fusion U-Net network
Jing Shang, Jie Xu, Allen Zhang, et al.
Measurement (2023) Vol. 208, pp. 112475-112475
Closed Access | Times Cited: 37
A Comparative Study on Crack Detection in Concrete Walls Using Transfer Learning Techniques
Remya Elizabeth Philip, A. Diana Andrushia, Anand Nammalvar, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 4, pp. 169-169
Open Access | Times Cited: 27
Image denoising techniques: An overview
Rusul Sabah Jebur, Chen Soong Der, Dalal Adulmohsin Hammood, et al.
AIP conference proceedings (2023) Vol. 2804, pp. 020002-020002
Closed Access | Times Cited: 24
Crack damage prediction of asphalt pavement based on tire noise: A comparison of machine learning algorithms
Huixia Li, Ritha Nyirandayisabye, Qiming Dong, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134867-134867
Closed Access | Times Cited: 12
Cascade refinement extraction network with active boundary loss for segmentation of concrete cracks from high-resolution images
Lu Deng, Huaqing Yuan, Lizhi Long, et al.
Automation in Construction (2024) Vol. 162, pp. 105410-105410
Open Access | Times Cited: 9
A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam)
Dieu Tien Bui, Nhat‐Duc Hoang, Viet‐Ha Nhu
Engineering With Computers (2018) Vol. 35, Iss. 3, pp. 955-965
Closed Access | Times Cited: 64
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