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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:

Deep learning-based structural health monitoring
Young‐Jin Cha, Rahmat Ali, J. S. Lewis, et al.
Automation in Construction (2024) Vol. 161, pp. 105328-105328
Open Access | Times Cited: 73

Showing 26-50 of 73 citing articles:

Construction and optimization of asphalt pavement texture characterization model based on binocular vision and deep learning
Miao Yu, Rong Zhang, Oliver Y. Tang, et al.
Measurement (2025), pp. 116946-116946
Closed Access
Beyond spatial neighbors: Utilizing multivariate transfer entropy for interpretable graph-based spatio–temporal forecasting
Safaa Berkani, Adil Bahaj, Bassma Guermah, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110161-110161
Closed Access
Semantic segmentation and deep CNN learning vision-based crack recognition system for concrete surfaces: development and implementation
Yassir M. Abbas, Hussam Alghamdi
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
Architecture for pavement pothole evaluation using deep learning, machine vision, and fuzzy logic
Mario Alberto Roman-Garay, Héctor Rodríguez, Carlos Beltran Hernandez-Beltran, et al.
Case Studies in Construction Materials (2025), pp. e04440-e04440
Open Access
Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies
Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1424-1424
Open Access
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
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
How machine learning can transform the future of concrete
Kaoutar Mouzoun, Azzeddine Bouyahyaoui, Hanane Moulay Abdelali, et al.
Asian Journal of Civil Engineering (2025)
Closed Access
Unsupervised Learning and Digital Twin Applied to Predictive Maintenance for Industry 4.0
Rochdi Kerkeni, Anis Mhalla, Kais Bouzrara
Journal of Electrical and Computer Engineering (2025) Vol. 2025, Iss. 1
Open Access
A structural damage identification model with finite thermomechanical sensors of the re-entry module
Xiao-bing Ma, Rui Guo, Hua Su, et al.
Aerospace Science and Technology (2025), pp. 110150-110150
Closed Access
Towards efficient structural inverse analysis based on AI-driven differentiable optimization method
Chen Wang, Chong Zhang, Chen Yang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112618-112618
Closed Access
DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects
Lihua Chen, Qi Sun, Ziyang Han, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2139-2139
Open Access
AI-Driven Innovations in Earthquake Risk Mitigation: A Future-Focused Perspective
Vagelis Plevris
Geosciences (2024) Vol. 14, Iss. 9, pp. 244-244
Open Access | Times Cited: 3
UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review
Gabriel de Sousa Meira, João Victor Ferreira Guedes, Edilson de Souza Bias
Drones (2024) Vol. 8, Iss. 7, pp. 341-341
Open Access | Times Cited: 2
Enhanced damage segmentation in RC components using pyramid Haar wavelet downsampling and attention U-net
Wentao Wang, Lei Li, Zhe Qu, et al.
Automation in Construction (2024) Vol. 168, pp. 105746-105746
Closed Access | Times Cited: 2
Machine Learning-based prediction of seismic lateral deflection of steel trusses using nonlinear time-history analysis
Huu-Hue Nguyen, Viet-Hung Truong
Structures (2024) Vol. 69, pp. 107369-107369
Closed Access | Times Cited: 2
Deep representation clustering of multi-type damage features based on unsupervised generative adversarial network
Xiao Li, Feng‐Liang Zhang, Jun Lei, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 25374-25393
Closed Access | Times Cited: 1
CrackScopeNet: A Lightweight Neural Network for Rapid Cracks Detection on Resource-Constrained Drone Platforms
Tao Zhang, Liwei Qin, Quan Zou, et al.
(2024)
Open Access | Times Cited: 1
CrackScopeNet: A Lightweight Neural Network for Rapid Cracks Detection on Resource-Constrained Drone Platforms
Tao Zhang, Liwei Qin, Quan Zou, et al.
(2024)
Open Access | Times Cited: 1
Detection and comparison of reversible shape transformations in responsive polymers using deep learning and knowledge transfer by identifying stimulus-triggering characteristic points
Abhishek Chandramohan, Nadimpalli Raghukiran
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109038-109038
Closed Access | Times Cited: 1
Efficient and lightweight monitoring network for cracks in complex background regions based on adaptive perception
Wang Chen, Jian Zhang
Automation in Construction (2024) Vol. 166, pp. 105614-105614
Closed Access | Times Cited: 1
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods
Sahar Hassani
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
CrackScopeNet: A Lightweight Neural Network for Rapid Crack Detection on Resource-Constrained Drone Platforms
Tao Zhang, Liwei Qin, Quan Zou, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 417-417
Open Access | Times Cited: 1
Crack analysis of tall concrete wind towers using an ad-hoc deep multiscale encoder–decoder with depth separable convolutions under severely imbalanced data
Jianghua Deng, Linxin Hua, Ye Lü, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
An early fault warning and diagnosis model based on a two-step analysis strategy for wind turbine bearings
Wei Dong, Xiaojin Wu, Shuqing Zhang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1

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