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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 51-75 of 73 citing articles:

Dual source geometric constraints based high precision online pose estimation
Zhuo Zhang, Quanrui Chen, Xiaoliang Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109343-109343
Closed Access | Times Cited: 1
Smart control of bridge support forces using adaptive bearings based on physics-informed neural network (PINN)
Huan Yan, Hongye Gou, Fei Hu, et al.
Automation in Construction (2024) Vol. 168, pp. 105790-105790
Closed Access | Times Cited: 1
Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers
Xinshuo Li, Wenxing Zhou, Jiancheng Yin, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109443-109443
Closed Access | Times Cited: 1
Hydro-steel structure digital twins: Application in structural health monitoring and maintenance of large-scale reservoir
Helin Li, Shufeng Zheng, Yonghao Shen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102922-102922
Closed Access | Times Cited: 1
A fault diagnosis framework using unlabeled data based on automatic clustering with meta-learning
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109584-109584
Closed Access | Times Cited: 1
Artificial intelligence and machine learning in mechanical engineering: Current trends and future prospects
Madhu Puttegowda, Sharath Ballupete Nagaraju
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109910-109910
Closed Access | Times Cited: 1
Monocular Computer Vision-Based Pothole Segmentation and 3d Volume Prediction Using Advanced Deep Learning
Rahmat Ali, Young‐Jin Cha
(2024)
Closed Access
Smart Control of Bridge Support Forces Using Adaptive Bearings Based on Physics-Informed Neural Network (Pinn)
Huan Yan, Hongye Gou, Fei Hu, et al.
(2024)
Closed Access
Monocular Computer Vision-Based Pothole Segmentation and 3d Volume Prediction Using Advanced Deep Learning
Rahmat Ali, Young‐Jin Cha
(2024)
Closed Access
Identification of combined sensor faults in structural health monitoring systems
Heba Al-Nasser, Thamer Al‐Zuriqat, Kosmas Dragos, et al.
Smart Materials and Structures (2024) Vol. 33, Iss. 8, pp. 085026-085026
Open Access
ANN-Based Bridge Support Fixity Quantification Using Thermal Response Data from Real-Time Wireless Sensing
Prakash Bhandari, Shinae Jang, Ramesh B. Malla, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5350-5350
Open Access
Fractality–Autoencoder-Based Methodology to Detect Corrosion Damage in a Truss-Type Bridge
Martin Valtierra‐Rodriguez, José M. Machorro-López, Jesus J. Yanez-Borjas, et al.
Infrastructures (2024) Vol. 9, Iss. 9, pp. 145-145
Open Access
Innovated bridge health diagnosis model using bridge critical frequency ratio
Min‐Yuan Cheng, Moh Nur Sholeh, You-Gang Guo
Journal of Civil Structural Health Monitoring (2024)
Closed Access
Shape Memory Effects in Polyurethane Nanocomposites—A Holistic Panorama on Features and Technicalities
Ayesha Kausar
Polymer-Plastics Technology and Materials (2024), pp. 1-30
Closed Access
Ambient vibration measurement-aided multi-1D CNNs ensemble for damage localization framework: demonstration on a large-scale RC pedestrian bridge
Yujue Zhou, Yongcheng Liu, Yuezong Lian, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111937-111937
Closed Access
Advancement of bridge health monitoring using magnetostrictive sensor with machine learning techniques
Cherosree Dolui, Debabrata Roy
Nondestructive Testing And Evaluation (2024), pp. 1-22
Closed Access
Translation of MFL and UT data by using generative adversarial networks: A comparative study
Jiatong Ling, Xiang Peng, Matthias Peussner, et al.
NDT & E International (2024), pp. 103246-103246
Open Access
Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects
A. Saldarriaga Vélez, Maria Muñiz, Juan Luis Fernández‐Martínez
AIMS Mathematics (2024) Vol. 9, Iss. 11, pp. 30493-30514
Open Access
Noise robust damage detection of laminated composites using multichannel wavelet-enhanced deep learning model
Muhammad Muzammil Azad, Heung Soo Kim
Engineering Structures (2024) Vol. 322, pp. 119192-119192
Closed Access
A novel deep learning‐based technique for efficient characterization of engineered cementitious composites cracks for durability assessment
Avik Kumar Das, Christopher K.Y. Leung
Structural Concrete (2024)
Closed Access
Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder
Kiran Bacsa, Wei Liu, Imad Abdallah, et al.
Journal of Engineering Mechanics (2024) Vol. 151, Iss. 2
Closed Access
Structural damage identification and classification from time-frequency impact echo data using deep learning
Feng Qu, Caiqian Yang, Kefeng Li, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-22
Closed Access
Mapping Stains on Flat Roofs Using Semantic Segmentation Based on Deep Learning
Lara Monalisa Alves dos Santos, Leonardo Rabero Lescano, Gabriel Toshio Hirokawa Higa, et al.
Case Studies in Construction Materials (2024), pp. e04106-e04106
Open Access
Improvement of crack detectivity for concrete surface of subway tunnels with anti-corrosion coatings using deep learning and image processing
Qingyu Du, Qing Jiang
Case Studies in Construction Materials (2024), pp. e04131-e04131
Open Access
Performance Evaluation of Machine Learning Models for Predicting Energy Consumption and Occupant Dissatisfaction in Buildings
Haidar Hosamo, Silvia Mazzetto
Buildings (2024) Vol. 15, Iss. 1, pp. 39-39
Open Access
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