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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:

Ground Motion Prediction Equation Development by Heterogeneous Bayesian Learning
He‐Qing Mu, Ka‐Veng Yuen
Computer-Aided Civil and Infrastructure Engineering (2016) Vol. 31, Iss. 10, pp. 761-776
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Structural Damage Detection with Automatic Feature‐Extraction through Deep Learning
Yizhou Lin, Zhenhua Nie, Hongwei Ma
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 32, Iss. 12, pp. 1025-1046
Closed Access | Times Cited: 527
A novel unsupervised deep learning model for global and local health condition assessment of structures
Mohammad Hossein Rafiei, Hojjat Adeli
Engineering Structures (2017) Vol. 156, pp. 598-607
Closed Access | Times Cited: 339
NEEWS: A novel earthquake early warning model using neural dynamic classification and neural dynamic optimization
Mohammad Hossein Rafiei, Hojjat Adeli
Soil Dynamics and Earthquake Engineering (2017) Vol. 100, pp. 417-427
Closed Access | Times Cited: 148
A texture‐Based Video Processing Methodology Using Bayesian Data Fusion for Autonomous Crack Detection on Metallic Surfaces
Fu‐Chen Chen, Mohammad R. Jahanshahi, Rih‐Teng Wu, et al.
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 32, Iss. 4, pp. 271-287
Closed Access | Times Cited: 134
Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks
Mohammad Amin Nabian, Hadi Meidani
Computer-Aided Civil and Infrastructure Engineering (2018) Vol. 33, Iss. 6, pp. 443-458
Open Access | Times Cited: 129
Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning
Jianye Ching, Kok‐Kwang Phoon
Journal of Engineering Mechanics (2017) Vol. 143, Iss. 7
Closed Access | Times Cited: 106
A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions
Jawad Fayaz, Carmine Galasso
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 1, pp. 87-103
Open Access | Times Cited: 51
The potential of region-specific machine-learning-based ground motion models: Application to Turkey
Amirhossein Mohammadi, Shaghayegh Karımzadeh, Seyed Amir Banimahd, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 172, pp. 108008-108008
Open Access | Times Cited: 33
Explainable probabilistic deep learning framework for seismic assessment of structures using distribution‐free prediction intervals
Mohamed Noureldin, Tamer Abuhmed, Melike Saygi, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 12, pp. 1677-1698
Closed Access | Times Cited: 18
Self‐calibrating Bayesian real‐time system identification
Ka‐Veng Yuen, Sin‐Chi Kuok, Le Dong
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 9, pp. 806-821
Closed Access | Times Cited: 48
An efficient algorithm for architecture design of Bayesian neural network in structural model updating
Tao Yin, Hongping Zhu
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 4, pp. 354-372
Closed Access | Times Cited: 48
Bayesian modeling of flood control networks for failure cascade characterization and vulnerability assessment
Shangjia Dong, Tianbo Yu, Hamed Farahmand, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 7, pp. 668-684
Closed 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
Ground motion amplification models for Japan using machine learning techniques
Sunyul Kim, Youngdeok Hwang, Hwanwoo Seo, et al.
Soil Dynamics and Earthquake Engineering (2020) Vol. 132, pp. 106095-106095
Closed Access | Times Cited: 40
Entropy‐Based Optimal Sensor Placement for Model Identification of Periodic Structures Endowed with Bolted Joints
Tao Yin, Ka‐Veng Yuen, Heung‐Fai Lam, et al.
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 32, Iss. 12, pp. 1007-1024
Closed Access | Times Cited: 43
Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction
He‐Qing Mu, Ka‐Veng Yuen
Measurement (2018) Vol. 130, pp. 384-397
Closed Access | Times Cited: 43
Broad learning for nonparametric spatial modeling with application to seismic attenuation
Sin‐Chi Kuok, Ka‐Veng Yuen
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 3, pp. 203-218
Closed Access | Times Cited: 35
Sparse Bayesian learning for structural damage detection under varying temperature conditions
Rongrong Hou, Xiaoyou Wang, Qi Xia, et al.
Mechanical Systems and Signal Processing (2020) Vol. 145, pp. 106965-106965
Open Access | Times Cited: 32
Cumulative absolute velocity prediction for earthquake early warning with deep learning
Yanwei Wang, Qingxu Zhao, Kai Qian, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 11, pp. 1724-1740
Closed Access | Times Cited: 11
Probabilistic Risk Analysis of Diversion Tunnel Construction Simulation
Jia Yu, Denghua Zhong, Bingyu Ren, et al.
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 32, Iss. 9, pp. 748-771
Closed Access | Times Cited: 34
Identifiability of Geotechnical Site-Specific Trend Functions
Jianye Ching, Kok‐Kwang Phoon, James L. Beck, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2017) Vol. 3, Iss. 4
Closed Access | Times Cited: 34
Active learning method for risk assessment of distributed infrastructure systems
Agam Tomar, Henry Burton
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 4, pp. 438-452
Closed Access | Times Cited: 24
3D Multiresolution Velocity Model Fusion with Probability Graphical Models
Zheng Zhou, Peter Gerstoft, K. B. Olsen
Bulletin of the Seismological Society of America (2024) Vol. 114, Iss. 3, pp. 1279-1292
Open Access | Times Cited: 3
Machine Learning Approach for Sequence Clustering with Applications to Ground-Motion Selection
Ruiyang Zhang, Jerome F. Hajjar, Hao Sun
Journal of Engineering Mechanics (2020) Vol. 146, Iss. 6
Closed Access | Times Cited: 25
Systemic reliability of bridge networks with mobile sensing‐based model updating for postevent transportation decisions
Ekin Özer, Arman Malekloo, Wasim Ramadan, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 8, pp. 975-999
Open Access | Times Cited: 14
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