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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:

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

Showing 1-25 of 155 citing articles:

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
YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery
Miao Ren, Xianfeng Zhang, Xiao Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 120, pp. 103335-103335
Open Access | Times Cited: 52
Unmanned Aerial Vehicle (UAV)-Based Pavement Image Stitching Without Occlusion, Crack Semantic Segmentation, and Quantification
Jinhuan Shan, Wei Jiang, Yue Huang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17038-17053
Closed Access | Times Cited: 18
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
Recent computer vision applications for pavement distress and condition assessment
Ayman H. El Hakea, Mohamed Waleed Fakhr
Automation in Construction (2022) Vol. 146, pp. 104664-104664
Closed Access | Times Cited: 39
Review of advanced road materials, structures, equipment, and detection technologies
Maria Chiara Cavalli, Chen De, Qian Chen, et al.
Journal of Road Engineering (2023) Vol. 3, Iss. 4, pp. 370-468
Open Access | Times Cited: 28
Influence of Pavement Structure, Traffic, and Weather on Urban Flexible Pavement Deterioration
David Llopis-Castelló, Tatiana García-Segura, Laura Montalbán-Domingo, et al.
Sustainability (2020) Vol. 12, Iss. 22, pp. 9717-9717
Open Access | Times Cited: 59
Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning
R. A. Roberts, Gaspare Giancontieri, Laura Inzerillo, et al.
Applied Sciences (2020) Vol. 10, Iss. 1, pp. 319-319
Open Access | Times Cited: 55
Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas
Nicoletta Nappo, Olga Mavrouli, Francesco Nex, et al.
Engineering Geology (2021) Vol. 294, pp. 106363-106363
Open Access | Times Cited: 54
Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress
Maria Rosaria De Blasiis, Alessandro Di Benedetto, Margherita Fiani
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 942-942
Open Access | Times Cited: 52
Building digital twins of existing highways using map data based on engineering expertise
Feng Jiang, Ling Ma, Tim Broyd, et al.
Automation in Construction (2021) Vol. 134, pp. 104081-104081
Open Access | Times Cited: 50
A review on pavement distress and structural defects detection and quantification technologies using imaging approaches
Chu Chu, Linbing Wang, Haocheng Xiong
Journal of Traffic and Transportation Engineering (English Edition) (2022) Vol. 9, Iss. 2, pp. 135-150
Open Access | Times Cited: 33
An efficient pavement distress detection scheme through drone–ground vehicle coordination
Yiyue Zhao, Wei Zhang, Ying Yang, et al.
Transportation Research Part A Policy and Practice (2024) Vol. 180, pp. 103949-103949
Closed Access | Times Cited: 7
Computer vision in drone imagery for infrastructure management
Naveed Ejaz, Salimur Choudhury
Automation in Construction (2024) Vol. 163, pp. 105418-105418
Open Access | Times Cited: 5
Using UAV Based 3D Modelling to Provide Smart Monitoring of Road Pavement Conditions
R. A. Roberts, Laura Inzerillo, Gaetano Di Mino
Information (2020) Vol. 11, Iss. 12, pp. 568-568
Open Access | Times Cited: 41
Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images
Elham Eslami, Hae‐Bum Yun
Sensors (2021) Vol. 21, Iss. 15, pp. 5137-5137
Open Access | Times Cited: 36
SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds
Lingfei Ma, Jonathan Li
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 111, pp. 102836-102836
Open Access | Times Cited: 23
A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets
Sadra Karimzadeh, Mohammad Ghasemi, M. Matsuoka, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 5753-5765
Open Access | Times Cited: 22
Integration of deep learning techniques and sustainability-based concepts into an urban pavement management system
Tatiana García-Segura, Laura Montalbán-Domingo, David Llopis-Castelló, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120851-120851
Open Access | Times Cited: 14
Road infrastructure maintenance: Operative method for interventions’ ranking
Fabio Borghetti, Ginevra Beretta, Nicola Bongiorno, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 25, pp. 101100-101100
Open Access | Times Cited: 4
Using mechanistic-empirical simulations and nonparametric testing to explore variability in the expected performance of reference asphalt pavement designs
Ben Moins, David Hernando, Dieter Seghers, et al.
Construction and Building Materials (2024) Vol. 428, pp. 136374-136374
Closed Access | Times Cited: 4
Terrestrial LiDAR derived 3D point cloud model, digital elevation model (DEM) and hillshade map for identification and evaluation of pavement distresses
N. H. Riyaz Khan, S. Vasantha Kumar
Results in Engineering (2024) Vol. 23, pp. 102680-102680
Open Access | Times Cited: 4
Machine learning modeling of pavement performance and IRI prediction in flexible pavement
Ali Alnaqbi, Waleed Zeiada, Ghazi G. Al-Khateeb
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 10
Closed Access | Times Cited: 4
Vector-Quantized Variational Teacher and Multimodal Collaborative Student for Crack Segmentation via Knowledge Distillation
Shi Qiu, Qasim Zaheer, Syed Muhammad Ahmed Hassan Shah, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
EGY_PDD: a comprehensive multi-sensor benchmark dataset for accurate pavement distress detection and classification
Mohamed F. Abdelkader, Mohamed A. Hedeya, Eslam Samir, et al.
Multimedia Tools and Applications (2025)
Open Access
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