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 Nonlinear System Identification Using Variational Inference
William R. Jacobs, Tara Baldacchino, Tony J. Dodd, et al.
IEEE Transactions on Automatic Control (2018) Vol. 63, Iss. 12, pp. 4172-4187
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Machinery fault diagnosis-oriented regularization for nonlinear system identification: Framework and applications
Yulai Zhao, Zepeng Liu, Zhiwei Yang, et al.
Applied Acoustics (2025) Vol. 231, pp. 110537-110537
Open Access | Times Cited: 1
Intelligent Calibration and Virtual Sensing for Integrated Low-Cost Air Quality Sensors
Martha Arbayani Zaidan, Naser Hossein Motlagh, Pak Lun Fung, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 22, pp. 13638-13652
Open Access | Times Cited: 101
Exploiting Spike-and-Slab Prior for Variational Estimation of Nonlinear Systems
Xinpeng Liu, Xianqiang Yang
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11275-11285
Closed Access | Times Cited: 16
Sparse Bayesian based NARX Modeling of Cortical Response: Introducing Information Entropy for Enhancing the Stability
Nan Zheng, Yurong Li, Wuxiang Shi, et al.
Neurocomputing (2025), pp. 129569-129569
Closed Access
Structural damage detection based on variational Bayesian inference and delayed rejection adaptive Metropolis algorithm
Xiaoyou Wang, Rongrong Hou, Yong Xia, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 4, pp. 1518-1535
Open Access | Times Cited: 37
Sparse Bayesian deep learning for dynamic system identification
Hongpeng Zhou, Chahine Ibrahim, Wei Xing Zheng, et al.
Automatica (2022) Vol. 144, pp. 110489-110489
Open Access | Times Cited: 19
Structural reliability analysis by a Bayesian sparse polynomial chaos expansion
Biswarup Bhattacharyya
Structural Safety (2021) Vol. 90, pp. 102074-102074
Open Access | Times Cited: 24
Random dynamical system in time domain: A POD-PC model
E. Jacquelin, Niccolò Baldanzini, Biswarup Bhattacharyya, et al.
Mechanical Systems and Signal Processing (2019) Vol. 133, pp. 106251-106251
Open Access | Times Cited: 29
Sparse Bayesian Learning Based on Collaborative Neurodynamic Optimization
Wei Zhou, Hai‐Tao Zhang, Jun Wang
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 12, pp. 13669-13683
Closed Access | Times Cited: 22
Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design
Anastasia Kadochnikova, Yunpeng Zhu, Zi–Qiang Lang, et al.
IEEE Transactions on Control Systems Technology (2022) Vol. 31, Iss. 1, pp. 394-401
Closed Access | Times Cited: 12
On the use of sparse Bayesian learning-based polynomial chaos expansion for global reliability sensitivity analysis
Biswarup Bhattacharyya
Journal of Computational and Applied Mathematics (2022) Vol. 420, pp. 114819-114819
Closed Access | Times Cited: 12
Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification
Will Jacobs, Visakan Kadirkamanathan, Sean Anderson
IEEE Access (2024) Vol. 12, pp. 11052-11065
Open Access | Times Cited: 2
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control
Qi Zhang, Lei Wang, Weihua Xu, et al.
Control Engineering Practice (2024) Vol. 148, pp. 105952-105952
Open Access | Times Cited: 2
A variational Bayesian approach for robust identification of linear parameter varying systems using mixture laplace distributions
Xinpeng Liu, Xianqiang Yang
Neurocomputing (2020) Vol. 395, pp. 15-23
Closed Access | Times Cited: 18
Collective Variational Inference for Personalized and Generative Physiological Modeling: A Case Study on Hemorrhage Resuscitation
Ali Tivay, George C. Kramer, Jin‐Oh Hahn
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 2, pp. 666-677
Open Access | Times Cited: 14
The modified extended Kalman filter based recursive estimation for Wiener nonlinear systems with process noise and measurement noise
Xuehai Wang, Fang Zhu, Feng Ding
International Journal of Adaptive Control and Signal Processing (2020) Vol. 34, Iss. 10, pp. 1321-1340
Closed Access | Times Cited: 15
An adaptive dimension-reduction method-based sparse polynomial chaos expansion via sparse Bayesian learning and Bayesian model averaging
Wanxin He, Gang Zhao, Gang Li, et al.
Structural Safety (2022) Vol. 97, pp. 102223-102223
Closed Access | Times Cited: 9
Nonlinear system identification using a recurrent network in a Bayesian framework
Alessandro Brusaferri, Matteo Matteucci, Pietro Portolani, et al.
2022 IEEE 20th International Conference on Industrial Informatics (INDIN) (2019), pp. 319-324
Closed Access | Times Cited: 15
Global sensitivity analysis: A Bayesian learning based polynomial chaos approach
Biswarup Bhattacharyya
Journal of Computational Physics (2020) Vol. 415, pp. 109539-109539
Open Access | Times Cited: 14
Data-Driven Discovery of Block-Oriented Nonlinear Models Using Sparse Null-Subspace Methods
Junlin Li, Xiuting Li, Hai‐Tao Zhang, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 5, pp. 3794-3804
Closed Access | Times Cited: 13
Recursive Identification of Time-Varying Hammerstein Systems With Matrix Forgetting
Jakub Dokoupil, Pavel Václavek
IEEE Transactions on Automatic Control (2022) Vol. 68, Iss. 5, pp. 3078-3085
Open Access | Times Cited: 8
Design assessments of complex systems based on design oriented modelling and uncertainty analysis
Changshuai Yu, Yunpeng Zhu, Haitao Luo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 109988-109988
Closed Access | Times Cited: 8
Identification of MISO Hammerstein system using sparse multiple kernel-based hierarchical mixture prior and variational Bayesian inference
Xiaolong Chen, Yi Chai, Qie Liu, et al.
ISA Transactions (2023) Vol. 137, pp. 323-338
Closed Access | Times Cited: 4
An improved Hammerstein system identification method using Stein Variational Inference and sampling technology
Limin Zhang, Di Jin, Jia Zhao
Journal of Process Control (2023) Vol. 124, pp. 25-35
Closed Access | Times Cited: 4
High precision variational Bayesian inference of sparse linear networks
Junyang Jin, Ye Yuan, Jorge Gonçalves
Automatica (2020) Vol. 118, pp. 109017-109017
Open Access | Times Cited: 10
Page 1 - Next Page

Scroll to top