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Infrastructure Maintenance and Monitoring

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the automated inspection and maintenance of pavement and civil infrastructure using deep learning, image processing, and convolutional neural networks. The research covers topics such as crack detection, defect classification, road surface monitoring, bridge inspection, and infrastructure condition assessment.

84
Works

How has Infrastructure Maintenance and Monitoring's publication output changed over time?

ScholarIQpublication output · 2003–2023

Output grew100% over the shown period — from 1 works in 2003 to 2 in 2023.

1
1
1
2
3
1
4
2
20032004200620182019202120222023

What are the most-cited papers on Infrastructure Maintenance and Monitoring?

ScholarIQmost cited works
Analysis of Edge-Detection Techniques for Crack Identification in Bridges
Ikhlas Abdel‐Qader, Osama Abudayyeh, Michael Kelly
S176637136. 2003880 Citations
Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach
Weili Fang, Lieyun Ding, Botao Zhong, Peter E.D. Love, Hanbin Luo
S112141509. 2018345 Citations
Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis
ASM Shihavuddin, Xiao Chen, Vladimir Fedorov, Anders Nymark Christensen, Nicolai A. B. Riis, Kim Branner, Anders Bjorholm Dahl, Rasmus R. Paulsen
S198098182. 2019217 CitationsOPEN ACCESS
Underground sewer pipe condition assessment based on convolutional neural networks
Syed Ibrahim Hassan, L. Minh Dang, Irfan Mehmood, Suhyeon Im, Chang-Ho Choi, Jae‐Mo Kang, Young-Soo Park, Hyeonjoon Moon
S172073041. 2019210 Citations
PCA-Based algorithm for unsupervised bridge crack detection
Ikhlas Abdel‐Qader, Sara Pashaie-Rad, Osama Abudayyeh, Sherif Yehia
S16540516. 2006188 Citations

Where is Infrastructure Maintenance and Monitoring research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

S176637136880
S112141509345
S172073041290
S16540516238
S198098182217

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Infrastructure Maintenance and Monitoring is open access?

ScholarIQopen access share
27%OPEN ACCESS
Gold
13%
Green
0%
Hybrid
7%
Bronze
7%
Closed
73%

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