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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:

Automated multiclass structural damage detection and quantification using augmented reality
Omar Awadallah, Ayan Sadhu
Journal of Infrastructure Intelligence and Resilience (2023) Vol. 2, Iss. 1, pp. 100024-100024
Open Access | Times Cited: 19

Showing 19 citing articles:

Visualization of structural health monitoring information using Internet-of-Things integrated with building information modeling
M. Sakr, Ayan Sadhu
Journal of Infrastructure Intelligence and Resilience (2023) Vol. 2, Iss. 3, pp. 100053-100053
Open Access | Times Cited: 29
Augmented reality-computer vision combination for automatic fatigue crack detection and localization
Ali Mohammadkhorasani, Kaveh Malek, Rushil Mojidra, et al.
Computers in Industry (2023) Vol. 149, pp. 103936-103936
Closed Access | Times Cited: 28
Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure
M. Sakr, Ayan Sadhu
Smart Materials and Structures (2024) Vol. 33, Iss. 3, pp. 033001-033001
Open Access | Times Cited: 12
Automation of structural health monitoring (SHM) system of a bridge using BIMification approach and BIM-based finite element model development
Muhammad Fawad, Marek Salamak, Grzegorz Poprawa, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21
Integration of Bridge Health Monitoring System With Augmented Reality Application Developed Using 3D Game Engine–Case Study
Muhammad Fawad, Marek Salamak, Muhammad Usman Hanif, et al.
IEEE Access (2024) Vol. 12, pp. 16963-16974
Open Access | Times Cited: 8
Augmented Reality-Based Real-Time Visualization for Structural Modal Identification
Elliott Carter, M. Sakr, Ayan Sadhu
Sensors (2024) Vol. 24, Iss. 5, pp. 1609-1609
Open Access | Times Cited: 4
Deep learning-enhanced smart ground robotic system for automated structural damage inspection and mapping
Liangfu Ge, Ayan Sadhu
Automation in Construction (2024) Vol. 170, pp. 105951-105951
Open Access | Times Cited: 4
Physics-trained artificial intelligence framework to detect chloride induced degradation in concrete
Parth Patel, Abhinav Gupta, Saran Srikanth Bodda, et al.
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100139-100139
Open Access
A survey of generative models for image-based structural health monitoring in civil infrastructure
Gi-Hun Gwon, Hyung‐Jo Jung
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100138-100138
Open Access
Deeep Learning in Crack Detection: A Comprehensive Scientometric Review
Yingjie Wu, Shaoqi Li, Jingqiu Li, et al.
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100144-100144
Open Access
A digital twin-driven machine learning framework for structural condition monitoring using multi-datasets
George Karyofyllas, Dimitrios Giagopoulos, Xinyu Jia, et al.
Structural Health Monitoring (2025)
Closed Access
The future of structural health monitoring with extended reality
Nuno Verdelho Trindade, Alfredo Ferreira, Daniel Gonçalves, et al.
Elsevier eBooks (2025), pp. 593-620
Closed Access
Development of immersive bridge digital twin platform to facilitate bridge damage assessment and asset model updates
Muhammad Fawad, Marek Salamak, Qian Chen, et al.
Computers in Industry (2024) Vol. 164, pp. 104189-104189
Open Access | Times Cited: 3
Towards vision-based structural modal identification at low frame rate using blind source separation
Shivank Mittal, Ayan Sadhu
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 3, pp. 100085-100085
Open Access | Times Cited: 2
Remote collaborative framework for real-time structural condition assessment using Augmented Reality
Omar Awadallah, Katarina Grolinger, Ayan Sadhu
Advanced Engineering Informatics (2024) Vol. 62, pp. 102652-102652
Open Access | Times Cited: 2
Damage Detection and Segmentation in Disaster Environments Using Combined YOLO and Deeplab
So-Hyeon Jo, Joo Woo, Chang Ho Kang, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4267-4267
Open Access | Times Cited: 1
Unsupervised Ambient Vibration-Based Feature Extraction for Structural Damage Detection
Ashuvendra Singh, Smita Kaloni
Communications in computer and information science (2023), pp. 554-565
Closed Access | Times Cited: 1
A multi-stage sub-structural damage localization approach using multi-label radial basis function neural network and auto-regressive model parameters
Shayan Mazloom, Nima Sa’adati, Amirmohammad Rabbani, et al.
Advances in Structural Engineering (2024) Vol. 27, Iss. 12, pp. 2133-2152
Closed Access
Blended Learning Através da Realidade Aumentada na Engenharia Civil
S Piffer, Matheus de Godoy Tavares, Amanda Soares, et al.
Apresentações Trabalhos Científicos (2023)
Open Access
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