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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:

Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty
P. L. Green, Keith Worden
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2015) Vol. 373, Iss. 2051, pp. 20140405-20140405
Open Access | Times Cited: 77

Showing 26-50 of 77 citing articles:

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
Higher-order sensitivity analyses to understand the role of FE input parameters on the simulation of composites in progressive fracture tests
Johannes Reiner
Composite Structures (2024), pp. 118585-118585
Open Access | Times Cited: 2
Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers
P.L. Green, Simon Maskell
Mechanical Systems and Signal Processing (2017) Vol. 93, pp. 379-396
Open Access | Times Cited: 21
Fast model updating coupling Bayesian inference and PGD model reduction
Paul‐Baptiste Rubio, François Louf, Ludovic Chamoin
Computational Mechanics (2018) Vol. 62, Iss. 6, pp. 1485-1509
Open Access | Times Cited: 21
Estimating the route-level passenger demand profile from bus dwell times
Wenzhe Sun, Jan‐Dirk Schmöcker, Koji Fukuda
Transportation Research Part C Emerging Technologies (2021) Vol. 130, pp. 103273-103273
Closed Access | Times Cited: 16
Review of Nonlinear Filtering for SHM with an Exploration of Novel Higher-Order Kalman Filtering Algorithms for Uncertainty Quantification
Audrey Olivier, Andrew W. Smyth
Journal of Engineering Mechanics (2017) Vol. 143, Iss. 11
Closed Access | Times Cited: 20
A marginalized unscented Kalman filter for efficient parameter estimation with applications to finite element models
Audrey Olivier, Andrew W. Smyth
Computer Methods in Applied Mechanics and Engineering (2018) Vol. 339, pp. 615-643
Open Access | Times Cited: 17
Bayesian Inference
Siu‐Kui Au
Springer eBooks (2017), pp. 265-289
Closed Access | Times Cited: 17
Characterizing the nonlinear behavior of viscoelastic materials: A Bayesian approach combining oberst beam experiments and digital-twin simulations
Kévin Jaboviste, Emeline Sadoulet‐Reboul, Rafael de Oliveira Teloli, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110978-110978
Open Access | Times Cited: 5
Towards a comprehensive damage identification of structures through populations of competing models
Israel Alejandro Hernández-González, Enrique García‐Macías
Engineering With Computers (2024) Vol. 40, Iss. 5, pp. 3157-3174
Open Access | Times Cited: 1
Bayesian system identification of dynamical systems using large sets of training data: A MCMC solution
P.L. Green
Probabilistic Engineering Mechanics (2015) Vol. 42, pp. 54-63
Open Access | Times Cited: 13
Qualitatively-improved identified parameters of prestressed concrete catenary poles using sensitivity-based Bayesian approach
Feras Alkam, Isabel Pereira, Tom Lahmer
Results in Engineering (2020) Vol. 6, pp. 100104-100104
Open Access | Times Cited: 12
Bayesian Volterra system identification using reversible jump MCMC algorithm
Oktay Karakuş, Erçan E. Kuruoğlu, Mustafa A. Altınkaya
Signal Processing (2017) Vol. 141, pp. 125-136
Open Access | Times Cited: 11
Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes
Majid Khorsand Vakilzadeh, James L. Beck, Thomas Abrahamsson
SIAM Journal on Scientific Computing (2018) Vol. 40, Iss. 1, pp. B168-B195
Open Access | Times Cited: 10
Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems
Michael McGurk, Adolphus Lye, Ludovic Renson, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Identifying the stiffness and damping of a nonlinear system using its free response perturbed with Gaussian white noise
Bin Tang, Shibo Wang, M.J. Brennan, et al.
Journal of Vibration and Control (2019) Vol. 26, Iss. 9-10, pp. 830-839
Closed Access | Times Cited: 9
MEASURING MODEL RISK IN FINANCIAL RISK MANAGEMENT AND PRICING
Valeriane Jokhadze, Wolfgang M. Schmidt
International Journal of Theoretical and Applied Finance (2020) Vol. 23, Iss. 02, pp. 2050012-2050012
Open Access | Times Cited: 8
Bayesian System Identification using auxiliary stochastic dynamical systems
Thomas Catanach, James L. Beck
International Journal of Non-Linear Mechanics (2017) Vol. 94, pp. 72-83
Open Access | Times Cited: 8
Finding minimum node separators: A Markov chain Monte Carlo method
Joohyun Lee, Jaewook Kwak, Hyang-Won Lee, et al.
Reliability Engineering & System Safety (2018) Vol. 178, pp. 225-235
Closed Access | Times Cited: 8
Condition State–Based Civil Infrastructure Deterioration Model on a Structure System Level
Yawen Shen, Jonathan L. Goodall, Steven B. Chase
Journal of Infrastructure Systems (2018) Vol. 25, Iss. 1
Closed Access | Times Cited: 8
The landscape of nonlinear structural dynamics: an introduction
T. Butlin, J. Woodhouse, Alan R. Champneys
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2015) Vol. 373, Iss. 2051, pp. 20140400-20140400
Open Access | Times Cited: 7
Stochastic NMPC/DRTO of batch operations: Batch-to-batch dynamic identification of the optimal description of model uncertainty
Francesco Rossi, Flavio Manenti, Guido Buzzi‐Ferraris, et al.
Computers & Chemical Engineering (2018) Vol. 122, pp. 395-414
Closed Access | Times Cited: 7
Non-stationary evaluation of runoff peaks in response to climate variability and land use change in Ferson Creek, Illinois, USA
Nasim Sadra, Mohammad Reza Nikoo, Nasser Talebbeydokhti
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 6
Closed Access | Times Cited: 2
Predicting On-axis Rotorcraft Dynamic Responses Using Machine Learning Techniques
Ryan Jackson, Michael Jump, Peter L. Green
Journal of the American Helicopter Society (2020) Vol. 65, Iss. 3, pp. 1-12
Open Access | Times Cited: 5
Uncertainty quantification for model parameters and hidden state variables in Bayesian dynamic linear models
Luong Ha Nguyen, Ianis Gaudot, James A. Goulet
Structural Control and Health Monitoring (2018), pp. e2309-e2309
Open Access | Times Cited: 5

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