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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:

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

Showing 21 citing articles:

The Current Development of Structural Health Monitoring for Bridges: A Review
Z.C. Deng, Minshui Huang, Neng Wan, et al.
Buildings (2023) Vol. 13, Iss. 6, pp. 1360-1360
Open Access | Times Cited: 94
Towards probabilistic data‐driven damage detection in SHM using sparse Bayesian learning scheme
Qiang Wang, Yang Dai, Zhanguo Ma, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 11
Closed Access | Times Cited: 37
Real-time Bayesian damage identification enabled by sparse PCE-Kriging meta-modelling for continuous SHM of large-scale civil engineering structures
Enrique García‐Macías, Filippo Ubertini
Journal of Building Engineering (2022) Vol. 59, pp. 105004-105004
Open Access | Times Cited: 36
Sparse Bayesian technique for load identification and full response reconstruction
Yixian Li, Xiaoyou Wang, Yong Xia, et al.
Journal of Sound and Vibration (2023) Vol. 553, pp. 117669-117669
Closed Access | Times Cited: 17
Adaptive meta-learning stochastic gradient Hamiltonian Monte Carlo simulation for Bayesian updating of structural dynamic models
Xianghao Meng, James L. Beck, Yong Huang, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117753-117753
Closed Access
Review of anomaly detection in large span bridges: available methods, recent advancements and future trends
Ziyuan Fan, Xiaoli Tang, Yang Chen, et al.
Advances in Bridge Engineering (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 4
Recent advances in uncertainty quantification in structural response characterization and system identification
Kai Zhou, Zequn Wang, Qingbin Gao, et al.
Probabilistic Engineering Mechanics (2023) Vol. 74, pp. 103507-103507
Closed Access | Times Cited: 11
An anomaly pattern detection for bridge structural response considering time-varying temperature coefficients
Yuan Ren, Qiaowei Ye, Xiang Xu, et al.
Structures (2022) Vol. 46, pp. 285-298
Closed Access | Times Cited: 14
A Markov chain Monte Carlo-based Bayesian framework for system identification and uncertainty estimation of full-scale structures
Z Liu, Jia‐Hua Yang, Heung‐Fai Lam, et al.
Engineering Structures (2023) Vol. 295, pp. 116886-116886
Open Access | Times Cited: 6
Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification
Dingxuan Xie, Zhong-Rong Lu, Gen Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110000-110000
Closed Access | Times Cited: 10
Research on steel structure damage detection based on TCD-CNN method
Yunyan Bai, Jingwang Liu, Tianxi Cheng, et al.
Structures (2023) Vol. 57, pp. 105318-105318
Closed Access | Times Cited: 4
Physics-guided generative adversarial network for probabilistic structural system identification
Yu Yang, Yongming Liu
Expert Systems with Applications (2023) Vol. 239, pp. 122339-122339
Closed Access | Times Cited: 4
Efficient structural model updating with spatially sparse modal data: A Bayesian perspective
Quentin Dollon
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110324-110324
Closed Access | Times Cited: 3
Probabilistic anomaly detection considering multi-level uncertainties for cable-stayed bridges
Xiang Xu, Chenghong Shi, Yuan Ren, et al.
Structures (2023) Vol. 58, pp. 105448-105448
Closed Access | Times Cited: 3
Efficient two-stage strain/temperature measurement method for BOTDA system based on Bayesian uncertainty quantification
Xianghao Meng, Dongyu Zhang, Hui Li, et al.
Measurement (2022) Vol. 203, pp. 111966-111966
Closed Access | Times Cited: 5
Learning Damage Representations with Sequence-to-Sequence Models
Qun Yang, Dejian Shen
Sensors (2022) Vol. 22, Iss. 2, pp. 452-452
Open Access | Times Cited: 3
Equivalent reconstruction of local distributed dynamic load based on block sparse Bayesian learning
Yunxi Yang, Ruili Xie, Ming Li, et al.
Measurement (2024) Vol. 241, pp. 115665-115665
Closed Access
A fundamental Bayesian two-stage model with the generalized fused lasso penalty for structural damage identification
Wen Yi, Lingjuan Ma, Rongpeng Li, et al.
Measurement (2024), pp. 116594-116594
Closed Access
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning
Rimple Sandhu, Brandon Robinson, Mohammad Khalil, et al.
Journal of Sound and Vibration (2023) Vol. 569, pp. 117816-117816
Open Access | Times Cited: 1
Efficient Two-Stage Strain/Temperature Measurement Method for Botda System Based on Bayesian Uncertainty Quantification
Xianghao Meng, Dongyu Zhang, Hui Li, et al.
SSRN Electronic Journal (2022)
Closed Access
Surface Roughness Characterization for Stress Concentration Factor Predictions: A Bayesian Learning Approach
Jingyi Zhang
Journal of Engineering Research and Reports (2021), pp. 59-70
Open Access
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