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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:

Vibration‐based semantic damage segmentation for large‐scale structural health monitoring
Seyed Omid Sajedi, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 6, pp. 579-596
Closed Access | Times Cited: 81

Showing 26-50 of 81 citing articles:

An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning
Wansong Liu, Chen Zhu, Minghui Zheng
2022 American Control Conference (ACC) (2020), pp. 1367-1372
Open Access | Times Cited: 47
The development of Gaussian process regression for effective regional post‐earthquake building damage inference
Mohamadreza Sheibani, Ge Ou
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 3, pp. 264-288
Closed Access | Times Cited: 47
Computer‐vision‐based differential remeshing for updating the geometry of finite element model
Youqi Zhang, Weiwei Lin
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 2, pp. 185-203
Open Access | Times Cited: 35
Impact damage characterization approach for CFRP pipes via self-sensing
So Young Oh, Dahun Lee, Young-Bin Park
International Journal of Mechanical Sciences (2024) Vol. 281, pp. 109511-109511
Closed Access | Times Cited: 4
Detecting and clustering structural damages using modal information and variational autoencoder with triple loss
Shieh‐Kung Huang, Y.C. Li, Yi-Xun Lin
Structural Health Monitoring (2025)
Closed Access
An enhancement method for chloride diffusion coefficient long-term prediction based on Hilbert dynamic probabilistic interpolation and BO-LSTM
Renjie Wu, Yuzhou Wang, Khant Swe Hein, et al.
Measurement (2025), pp. 116820-116820
Closed Access
Long-term prediction of surface chloride content of marine concrete structures using inverse physics-informed neural networks
Renjie Wu, Yong Xia, Jin Xia
Engineering Structures (2025) Vol. 329, pp. 119752-119752
Closed Access
Deep line segment detection for concrete pavement distress assessment
Yuanhao Guo, Yanqiang Huo, Ning Cheng, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access
Dual Bayesian inference for risk‐informed vibration‐based damage diagnosis
Seyed Omid Sajedi, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 9, pp. 1168-1184
Closed Access | Times Cited: 32
A novel unsupervised real‐time damage detection method for structural health monitoring using machine learning
Sheng Shi, Dongsheng Du, Oya Mercan, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 10
Open Access | Times Cited: 21
Artificial intelligence in civil infrastructure health monitoring—Historical perspectives, current trends, and future visions
Tarutal Ghosh Mondal, Genda Chen
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 20
A deep learning approach based on a data-driven tool for classification and prediction of thermoelastic wave’s band structures for phononic crystals
Shirin Javadi, Ali Maghami, Seyed Mahmoud Hosseini
Mechanics of Advanced Materials and Structures (2021) Vol. 29, Iss. 27, pp. 6612-6625
Closed Access | Times Cited: 26
Convolutional neural network based structural health monitoring for rocking bridge system by encoding time‐series into images
Islam M. Mantawy, Mohamed O. Mantawy
Structural Control and Health Monitoring (2021) Vol. 29, Iss. 3
Open Access | Times Cited: 25
Enhancing Seismic Damage Detection and Assessment in Highway Bridge Systems: A Pattern Recognition Approach with Bayesian Optimization
Xiao Liang
Sensors (2024) Vol. 24, Iss. 2, pp. 611-611
Open Access | Times Cited: 3
Transformer‐based framework for accurate segmentation of high‐resolution images in structural health monitoring
Maryam Azimi, T.Y. Yang
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 3
Visual–inertial structural acceleration measurement
Yufeng Weng, Zheng Feng Lu, Xilin Lü, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1146-1159
Closed Access | Times Cited: 14
Automated Structural Damage Identification Using Data Normalization and 1-Dimensional Convolutional Neural Network
Jongbin Won, Jong‐Woong Park, Soojin Jang, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2610-2610
Open Access | Times Cited: 18
Damage Localization and Severity Assessment of a Cable-Stayed Bridge Using a Message Passing Neural Network
Hyesook Son, V.D. Pham, Yun Jang, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3118-3118
Open Access | Times Cited: 18
A novel data-driven sensor placement optimization method for unsupervised damage detection using noise-assisted neural networks with attention mechanism
Sheng Shi, Dongsheng Du, Oya Mercan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111075-111075
Closed Access | Times Cited: 2
ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images
Yu‐Hsuan Ho, Cheng-Chun Lee, Nicholas Diaz, et al.
ACM Journal on Computing and Sustainable Societies (2024) Vol. 2, Iss. 2, pp. 1-18
Open Access | Times Cited: 2
Predicting low-cycle fatigue-induced fracture in reinforcing bars: A CNN-based approach
Islam M. Mantawy, Naga Lakshmi Chittitalli Ravuri
Structures (2024) Vol. 64, pp. 106509-106509
Open Access | Times Cited: 2
Structural Health Monitoring Using Machine Learning and Cumulative Absolute Velocity Features
Sifat Muin, Khalid M. Mosalam
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5727-5727
Open Access | Times Cited: 17
Wave based damage detection in solid structures using spatially asymmetric encoder–decoder network
Frank Wuttke, Hao Lyu, Amir Shoarian Sattari, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 17
Filter Banks and Hybrid Deep Learning Architectures for Performance-Based Seismic Assessments of Bridges
Seyed Omid Sajedi, Xiao Liang
Journal of Structural Engineering (2022) Vol. 148, Iss. 12
Closed Access | Times Cited: 9
Uncertainty‐aware structural damage warning system using deep variational composite neural networks
Kareem Eltouny, Xiao Liang
Earthquake Engineering & Structural Dynamics (2023) Vol. 52, Iss. 11, pp. 3345-3368
Closed Access | Times Cited: 5

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