Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Sparse Bayesian learning for structural damage identification
Zhao Chen, Ruiyang Zhang, Jingwei Zheng, et al.
Mechanical Systems and Signal Processing (2020) Vol. 140, pp. 106689-106689
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling
Ruiyang Zhang, Yang Liu, Hao Sun
Engineering Structures (2020) Vol. 215, pp. 110704-110704
Open Access | Times Cited: 321
Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data
Luning Sun, Jianxun Wang
Theoretical and Applied Mechanics Letters (2020) Vol. 10, Iss. 3, pp. 161-169
Open Access | Times Cited: 149
Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling
Pinghe Ni, Jun Li, Hong Hao, et al.
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 383, pp. 113915-113915
Closed Access | Times Cited: 69
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling
Hassan Sarmadi, Ka‐Veng Yuen
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 109049-109049
Closed Access | Times Cited: 66
An ultrafast and robust structural damage identification framework enabled by an optimized extreme learning machine
Xinwei Wang, Yinghao Zhao, Zhihao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111509-111509
Closed Access | Times Cited: 9
Incremental Bayesian matrix/tensor learning for structural monitoring data imputation and response forecasting
Pu Ren, Xinyu Chen, Lijun Sun, et al.
Mechanical Systems and Signal Processing (2021) Vol. 158, pp. 107734-107734
Closed Access | Times Cited: 53
A novel structural damage identification scheme based on deep learning framework
Xinwei Wang, Xun’an Zhang, Muhammad Moman Shahzad
Structures (2021) Vol. 29, pp. 1537-1549
Closed Access | Times Cited: 49
Optimized pollard route deviation and route selection using Bayesian machine learning techniques in wireless sensor networks
C.N. Vanitha, S. Malathy, Rajesh Kumar Dhanaraj, et al.
Computer Networks (2022) Vol. 216, pp. 109228-109228
Closed Access | Times Cited: 36
Physics-guided Deep Markov Models for learning nonlinear dynamical systems with uncertainty
Wei Liu, Zhilu Lai, Kiran Bacsa, et al.
Mechanical Systems and Signal Processing (2022) Vol. 178, pp. 109276-109276
Open Access | Times Cited: 35
Damage localization and robust diagnostics in guided-wave testing using multitask complex hierarchical sparse Bayesian learning
Shicheng Xue, Wensong Zhou, James L. Beck, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110365-110365
Closed Access | Times Cited: 16
On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression
Rajdip Nayek, R. Fuentes, Keith Worden, et al.
Mechanical Systems and Signal Processing (2021) Vol. 161, pp. 107986-107986
Open Access | Times Cited: 35
Bridge Structural Damage Identification Based on Parallel Multi-head Self-attention Mechanism and Bidirectional Long and Short-term Memory Network
Qi Liu, Jiaxing Wang, Hualin Dai, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 4
Steel structural damage identification based on multisensor same-class graph and GraphSAGE network
Qi Liu, Jiaxing Wang, Hualin Dai, et al.
Structures (2025) Vol. 74, pp. 108388-108388
Closed Access
Recent advances in structural health diagnosis: a machine learning perspective
Yuequan Bao, Huabin Sun, Yang Xu, et al.
Advances in Bridge Engineering (2025) Vol. 6, Iss. 1
Open Access
A robust sparse Bayesian learning method for the structural damage identification by a mixture of Gaussians
Rongpeng Li, Supei Zheng, Fengdan Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110483-110483
Closed Access | Times Cited: 11
Digital Twins in Transportation Infrastructure: An Investigation of the Key Enabling Technologies, Applications, and Challenges
X. Jia M.J. Chang, Rui Zhang, Jianxiao Mao, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6449-6471
Closed Access | Times Cited: 3
Sparse Bayesian learning with model reduction for probabilistic structural damage detection with limited measurements
Jian Li, Yong Huang, Parisa Asadollahi
Engineering Structures (2021) Vol. 247, pp. 113183-113183
Closed Access | Times Cited: 21
A novel denoising strategy based on sparse modeling for rotating machinery fault detection under time-varying operating conditions
Zimin Liu, Haoxuan Zhou, Guangrui Wen, et al.
Measurement (2023) Vol. 210, pp. 112534-112534
Closed Access | Times Cited: 8
Sparse representation for damage identification of structural systems
Zhao Chen, Hao Sun
Structural Health Monitoring (2020) Vol. 20, Iss. 4, pp. 1644-1656
Open Access | Times Cited: 21
Non-probabilistic uncertain inverse problem method considering correlations for structural parameter identification
Heng Ouyang, Jie Liu, Xu Han, et al.
Structural and Multidisciplinary Optimization (2021) Vol. 64, Iss. 3, pp. 1327-1342
Closed Access | Times Cited: 19
Structural damage identification with limited modal measurements and ultra‐sparse Bayesian regression
Mingqiang Xu, Jian Guo, Shuqing Wang, et al.
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 6
Closed Access | Times Cited: 18
Damage identification of hinge joint in hollow slab bridge based on model updating and orthogonal matching pursuit algorithm
Shengli Li, Haoxiang Yang, Pan Guo, et al.
Measurement (2023) Vol. 224, pp. 113867-113867
Closed Access | Times Cited: 7
State-of-the-art and annual progress of bridge engineering in 2020
Renda Zhao, Kaifeng Zheng, Xing Wei, et al.
Advances in Bridge Engineering (2021) Vol. 2, Iss. 1
Open Access | Times Cited: 17
A fraction function regularization model for the structural damage identification
Rongpeng Li, Xueli Song, Fengdan Wang, et al.
Advances in Structural Engineering (2023) Vol. 26, Iss. 9, pp. 1565-1578
Closed Access | Times Cited: 6
Location of Multiple Damage Types in a Truss-Type Structure Using Multiple Signal Classification Method and Vibration Signals
Carlos A. Perez-Ramirez, José M. Machorro-López, Martin Valtierra‐Rodriguez, et al.
Mathematics (2020) Vol. 8, Iss. 6, pp. 932-932
Open Access | Times Cited: 16
Page 1 - Next Page

Scroll to top