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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:

Learning nonlinear state–space models using autoencoders
Daniele Masti, Alberto Bemporad
Automatica (2021) Vol. 129, pp. 109666-109666
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 12
Open Access | Times Cited: 182
Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions
Armin Norouzi, Hamed Heidarifar, Hoseinali Borhan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105878-105878
Closed Access | Times Cited: 52
Large‐scale system identification using self‐adaptive penguin search algorithm
Karthikeyan Udaichi, Ravi Chinaveer Nagappan, Miguel García-Torres, et al.
IET Control Theory and Applications (2023) Vol. 17, Iss. 17, pp. 2292-2303
Open Access | Times Cited: 47
Machine learning for industrial sensing and control: A survey and practical perspective
Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, et al.
Control Engineering Practice (2024) Vol. 145, pp. 105841-105841
Open Access | Times Cited: 19
Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey
Huiliang Zhang, Sayani Seal, Di Wu, et al.
IEEE Access (2022) Vol. 10, pp. 27853-27862
Open Access | Times Cited: 49
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
Fault Diagnosis of Rotating Machinery With Limited Expert Interaction: A Multicriteria Active Learning Approach Based on Broad Learning System
Zeyi Liu, Jingfei Zhang, Xiao He, et al.
IEEE Transactions on Control Systems Technology (2022) Vol. 31, Iss. 2, pp. 953-960
Closed Access | Times Cited: 30
Machine learning-based reduced-order modeling and predictive control of nonlinear processes
Tianyi Zhao, Yingzhe Zheng, Jinlong Gong, et al.
Process Safety and Environmental Protection (2022) Vol. 179, pp. 435-451
Open Access | Times Cited: 29
Deep subspace encoders for nonlinear system identification
Gerben I. Beintema, Maarten Schoukens, Roland Tóth
Automatica (2023) Vol. 156, pp. 111210-111210
Open Access | Times Cited: 20
A neural network-based approach to hybrid systems identification for control
Filippo Fabiani, Bartolomeo Stellato, Daniele Masti, et al.
Automatica (2025) Vol. 174, pp. 112130-112130
Open Access
Attentional Filtering: Dynamic System State Estimation as an Attention
Andi Lin, Wen-An Zhang, Lei Guo
(2025)
Closed Access
Performance-oriented fault detection and fault-tolerant control for nonlinear uncertain systems: Improved stochastic configuration network-based methods
Jingjing Gao, Feng Gao, Zhengxuan Zhang, et al.
Neurocomputing (2025), pp. 129869-129869
Closed Access
Non-linear multi-objective Bayesian MPC of water reservoir systems
Raffaele Giuseppe Cestari, Andrea Castelletti, Simone Formentin
European Journal of Control (2025), pp. 101205-101205
Open Access
Integral-form physics constrained parallel network for identifying nonlinear dynamical systems from only noisy displacement measurements
Shangyu Zhao, Changming Cheng, Zhike Peng
Nonlinear Dynamics (2025)
Closed Access
Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study
Ying Zhao, Chen Jiang, Manuel A. Vega, et al.
Journal of Computing and Information Science in Engineering (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 26
A Piecewise Linear Regression and Classification Algorithm With Application to Learning and Model Predictive Control of Hybrid Systems
Alberto Bemporad
IEEE Transactions on Automatic Control (2022) Vol. 68, Iss. 6, pp. 3194-3209
Closed Access | Times Cited: 25
Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning
Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
Computers & Chemical Engineering (2022) Vol. 161, pp. 107781-107781
Open Access | Times Cited: 19
Invertible Koopman Network and its application in data-driven modeling for dynamic systems
Yuhong Jin, Lei Hou, Shun Zhong, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110604-110604
Closed Access | Times Cited: 9
Artificial Neural Network-Based Model Predictive Control Using Correlated Data
Hesam Hassanpour, Brandon Corbett, Prashant Mhaskar
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 8, pp. 3075-3090
Closed Access | Times Cited: 14
Recurrent Neural Network Training With Convex Loss and Regularization Functions by Extended Kalman Filtering
Alberto Bemporad
IEEE Transactions on Automatic Control (2022) Vol. 68, Iss. 9, pp. 5661-5668
Open Access | Times Cited: 13
Soft robot fast simulation via reduced order extended position based dynamics
Haijun Peng, Na Li, Dianheng Jiang, et al.
Robotics and Autonomous Systems (2024) Vol. 175, pp. 104650-104650
Closed Access | Times Cited: 2
Learning-based data-driven optimal deployment control of tethered space robot
Ao Jin, Fan Zhang, Panfeng Huang
Advances in Space Research (2024) Vol. 74, Iss. 5, pp. 2214-2224
Closed Access | Times Cited: 2
The impact of the European Union emissions trading system on carbon dioxide emissions: a matrix completion analysis
Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Meta-Learning of Neural State-Space Models Using Data From Similar Systems
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 1490-1495
Open Access | Times Cited: 6
On compression rate of quantum autoencoders: Control design, numerical and experimental realization
Hailan Ma, Chang-Jiang Huang, Chunlin Chen, et al.
Automatica (2022) Vol. 147, pp. 110659-110659
Open Access | Times Cited: 10
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