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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:

Regularized System Identification
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, et al.
Communications and control engineering/Communications and control engineering series (2022)
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Data-Driven Control Based on the Behavioral Approach: From Theory to Applications in Power Systems
Ivan Markovsky, Linbin Huang, Florian Dörfler
IEEE Control Systems (2023) Vol. 43, Iss. 5, pp. 28-68
Closed Access | Times Cited: 38
Deep networks for system identification: A survey
Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, et al.
Automatica (2024) Vol. 171, pp. 111907-111907
Open Access | Times Cited: 11
A Numerical and Experimental Investigation of the Most Fundamental Time-Domain Input–Output System Identification Methods for the Normal Modal Analysis of Flexible Structures
Şefika İpek Lök, Carmine Maria Pappalardo, Rosario La Regina, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1259-1259
Open Access
Full Bayesian identification of linear dynamic systems using stable kernels
Gianluigi Pillonetto, Lennart Ljung
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 18
Open Access | Times Cited: 12
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One
Giacomo Cappon, Francesco Prendin, Andrea Facchinetti, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 11, pp. 3105-3115
Open Access | Times Cited: 11
Data-Driven Control: Part Two of Two: Hot Take: Why not go with Models?
Florian Dörfler
IEEE Control Systems (2023) Vol. 43, Iss. 6, pp. 27-31
Open Access | Times Cited: 11
A Class of Algorithms for Recovery of Continuous Relaxation Spectrum from Stress Relaxation Test Data Using Orthonormal Functions
Anna Stankiewicz
Polymers (2023) Vol. 15, Iss. 4, pp. 958-958
Open Access | Times Cited: 8
How to Make the Stress Relaxation Experiment for Polymers More Informative
Anna Stankiewicz, Sławomir Juściński
Polymers (2023) Vol. 15, Iss. 23, pp. 4605-4605
Open Access | Times Cited: 8
Application of an offline grey box method for predicting the manoeuvring performance
Elis Atasayan, E. Milanov, Ahmet Alkan
Brodogradnja (2024) Vol. 75, Iss. 3, pp. 1-36
Open Access | Times Cited: 2
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator
Yue Ju, Biqiang Mu, Lennart Ljung, et al.
IEEE Transactions on Automatic Control (2023) Vol. 68, Iss. 12, pp. 7224-7239
Open Access | Times Cited: 6
Correction of Italian under-reporting in the first COVID-19 wave via age-specific deconvolution of hospital admissions
Simone Milanesi, Giuseppe De Nicolao
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0295079-e0295079
Open Access | Times Cited: 4
A refinement of the stability test for reproducing kernel Hilbert spaces
Mauro Bisiacco, Gianluigi Pillonetto
Automatica (2024) Vol. 163, pp. 111606-111606
Closed Access | Times Cited: 1
Estimation of cutting forces in CNC slot-milling of low-cost clay reinforced syntactic metal foams by artificial neural network modeling
Çağın Bolat, Nuri Özdoğan, Sarp Çoban, et al.
Multidiscipline Modeling in Materials and Structures (2024) Vol. 20, Iss. 3, pp. 417-436
Closed Access | Times Cited: 1
Dealing with collinearity in large-scale linear system identification using Gaussian regression
Wenqi Cao, Gianluigi Pillonetto
Automatica (2024) Vol. 166, pp. 111708-111708
Open Access | Times Cited: 1
Learning of Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces
Torbjørn Smith, Olav Egeland
2022 European Control Conference (ECC) (2024), pp. 3876-3883
Open Access | Times Cited: 1
Combining federated learning and control: A survey
Jakob Weber, Markus Gurtner, Amadeus Lobe, et al.
IET Control Theory and Applications (2024)
Open Access | Times Cited: 1
Automatic regularization for linear MMSE filters
Daniel Gomes de Pinho Zanco, Leszek Szczeciński, Jacob Benesty
Signal Processing (2024), pp. 109820-109820
Open Access | Times Cited: 1
A data‐driven framework to model the organism–environment system
Lisandro Milocco, Tobias Uller
Evolution & Development (2023) Vol. 25, Iss. 6, pp. 439-450
Open Access | Times Cited: 4
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics
Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 4
Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control
Algo Carè, Ruggero Carli, Alberto Dalla Libera, et al.
IEEE Control Systems (2023) Vol. 43, Iss. 5, pp. 69-110
Closed Access | Times Cited: 4
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems
Yi‐Ting Chen, Ana Milena Padilla Ospina, Fabio Pasqualetti, et al.
(2023) Vol. 31, pp. 7342-7349
Open Access | Times Cited: 4
On Asymptotic Optimality of Cross-Validation Estimators for Kernel-Based Regularized System Identification
Biqiang Mu, Tianshi Chen
IEEE Transactions on Automatic Control (2023) Vol. 69, Iss. 7, pp. 4352-4367
Closed Access | Times Cited: 3
Implicit iterative algorithm for solving regularized total least squares problems
Д. В. Иванов, А. И. Жданов
Вестник Самарского государственного технического университета Серия Физико-математические науки (2022) Vol. 26, Iss. 2, pp. 311-321
Open Access | Times Cited: 4
Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors
Max van Meer, Rodrigo A. González, Gert Witvoet, et al.
(2023), pp. 5494-5499
Open Access | Times Cited: 2
Kernel-based identification using Lebesgue-sampled data
Rodrigo A. González, Koen Tiels, Tom Oomen
Automatica (2024) Vol. 164, pp. 111648-111648
Open Access
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