Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 55 citing articles:

Deep learning-based road damage detection and classification for multiple countries
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, et al.
Automation in Construction (2021) Vol. 132, pp. 103935-103935
Open Access | Times Cited: 178
Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review
Eshta Ranyal, Ayan Sadhu, Kamal Jain
Sensors (2022) Vol. 22, Iss. 8, pp. 3044-3044
Open Access | Times Cited: 111
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
Advanced Engineering Informatics (2024) Vol. 60, pp. 102388-102388
Closed Access | Times Cited: 15
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 28
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Nils Hütten, Miguel Alves Gomes, Florian Hölken, et al.
Applied System Innovation (2024) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 13
Transfer Learning-based Road Damage Detection for Multiple Countries
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 66
YOLO-LWNet: A Lightweight Road Damage Object Detection Network for Mobile Terminal Devices
Chenguang Wu, Min Ye, Jiale Zhang, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3268-3268
Open Access | Times Cited: 17
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review
Munish Rathee, Boris Bačić, Maryam Doborjeh
Sensors (2023) Vol. 23, Iss. 12, pp. 5656-5656
Open Access | Times Cited: 17
A hybrid wavelet-optimally-pruned extreme learning machine model for the estimation of international roughness index of rigid pavements
Mosbeh R. Kaloop, Sherif M. El-Badawy, Jungkyu Ahn, et al.
International Journal of Pavement Engineering (2020) Vol. 23, Iss. 3, pp. 862-876
Closed Access | Times Cited: 42
Spatiotemporal kernel density clustering for wide area near Real-Time pothole detection
Yangsong Gu, Yuandong Liu, Diyi Liu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102351-102351
Closed Access | Times Cited: 4
Development of a road defect inspection system (AI–RDIS) using AI deep learning technology
Jia-Ruey Chang, Kun-Hu Lin, Chia-Ming Liu, et al.
IOP Conference Series Earth and Environmental Science (2025) Vol. 1450, Iss. 1, pp. 012006-012006
Open Access
Valuing Imperfect Information from Inspection and Sensing in Condition-Based Roadway Pavement Management with Partially Observable Conditions
Weiwen Zhou, Elise Miller-Hooks, Konstantinos G. Papakonstantinou, et al.
Journal of Transportation Engineering Part B Pavements (2025) Vol. 151, Iss. 2
Closed Access
Effect of combining algorithms in smartphone based pothole detection
L. Janani, V. Sunitha, Samson Mathew
International Journal of Pavement Research and Technology (2020) Vol. 14, Iss. 1, pp. 63-72
Closed Access | Times Cited: 37
2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements
Marek Słoński, Marcin Tekieli
Materials (2020) Vol. 13, Iss. 16, pp. 3527-3527
Open Access | Times Cited: 37
Sensors for Structural Health Monitoring of Agricultural Structures
Chrysanthos Maraveas, Thomas Bartzanas
Sensors (2021) Vol. 21, Iss. 1, pp. 314-314
Open Access | Times Cited: 28
Automated Pavement Condition Index Assessment with Deep Learning and Image Analysis: An End-to-End Approach
Eldor Ibragimov, Yongsoo Kim, Jeong Yong Lee, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2333-2333
Open Access | Times Cited: 3
An automatic assessment of road condition from aerial imagery using modified VGG architecture in faster-RCNN framework
A. Malini, P. Priyadharshini, S. Sabeena
Journal of Intelligent & Fuzzy Systems (2021) Vol. 40, Iss. 6, pp. 11411-11422
Closed Access | Times Cited: 22
Pavement Distress Recognition via Wavelet-Based Clustering of Smartphone Accelerometer Data
Parastoo Kamranfar, David Lattanzi, Amarda Shehu, et al.
Journal of Computing in Civil Engineering (2022) Vol. 36, Iss. 4
Closed Access | Times Cited: 14
Pavement surface defect recognition method based on vehicle system vibration data and feedforward neural network
Jian Liu, Yusen Wang, Hongzheng Luo, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 8
Pavement Monitoring Using Unmanned Aerial Vehicles: An Overview
Pranav R. T. Peddinti, Harish Puppala, Byungmin Kim
Journal of Transportation Engineering Part B Pavements (2023) Vol. 149, Iss. 3
Closed Access | Times Cited: 8
Low-Cost Pavement Management System for Developing Countries
Shabir Hussain Khahro, Zubair Ahmed Memon, Lillian Gungat, et al.
Sustainability (2021) Vol. 13, Iss. 11, pp. 5941-5941
Open Access | Times Cited: 19
Sustainable Pavement Management: Harnessing Advanced Machine Learning for Enhanced Road Maintenance
Kshitij Ijari, Carlos D. Paternina-Arboleda
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6640-6640
Open Access | Times Cited: 2
A data-driven model for phase angle behaviour of asphalt concrete mixtures based on convolutional neural network
Fizza Hussain, Yasir Ali, Muhammad Irfan, et al.
Construction and Building Materials (2020) Vol. 269, pp. 121235-121235
Closed Access | Times Cited: 20
The Importance of Feature Processing in Deep-Learning-Based Condition Monitoring of Motors
Dileep Kumar, Jawaid Daudpoto, Nicholas R. Harris, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-23
Open Access | Times Cited: 17
Synthesizing the performance of deep learning in vision-based pavement distress detection
Zia U. A. Zihan, Omar Smadi, Miranda Tilberg, et al.
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 11
Closed Access | Times Cited: 6
Page 1 - Next Page

Scroll to top