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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:

Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems
Ján Drgoňa, Karol Kiš, Aaron Tuor, et al.
Journal of Process Control (2022) Vol. 116, pp. 80-92
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
Open Access | Times Cited: 3
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem, Ján Drgoňa, Colin N. Jones, et al.
2022 American Control Conference (ACC) (2023)
Open Access | Times Cited: 21
Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees
Ján Drgoňa, Aaron Tuor, Draguna Vrabie
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3596-3607
Open Access | Times Cited: 6
Effective MPC strategies using deep learning methods for control of nonlinear system
N. Rajasekhar, Krishnaraj Nagappan, T. K. Radhakrishnan, et al.
International Journal of Dynamics and Control (2024) Vol. 12, Iss. 10, pp. 3694-3707
Closed Access | Times Cited: 5
Deep learning based model predictive controller on a magnetic levitation ball system
Tianbo Peng, Hui Peng, Rongwei Li
ISA Transactions (2024) Vol. 149, pp. 348-364
Closed Access | Times Cited: 5
Long-term experimental evaluation and comparison of advanced controls for HVAC systems
Xuezheng Wang, Bing Dong
Applied Energy (2024) Vol. 371, pp. 123706-123706
Closed Access | Times Cited: 5
Machine-learning-enabled on-the-fly analysis of RHEED patterns during thin film deposition by molecular beam epitaxy
Tiffany C. Kaspar, Sarah Akers, Henry Sprueill, et al.
Journal of Vacuum Science & Technology A Vacuum Surfaces and Films (2025) Vol. 43, Iss. 3
Open Access
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks
Yi-Ping Chen, Vispi Karkaria, Ying-Kuan Tsai, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 412-424
Closed Access
Data-Driven Control: Theory and Applications
Damoon Soudbakhsh, Anuradha M. Annaswamy, Yan Wang, et al.
2022 American Control Conference (ACC) (2023)
Closed Access | Times Cited: 10
Modularized neural network incorporating physical priors for future building energy modeling
Zixin Jiang, Bing Dong
Patterns (2024) Vol. 5, Iss. 8, pp. 101029-101029
Open Access | Times Cited: 3
Data Science and Model Predictive Control:
Marcelo Menezes Morato, Monica Spinola Felix
Journal of Process Control (2024) Vol. 144, pp. 103327-103327
Closed Access | Times Cited: 3
One Network Fits All: A Self-Organizing Fuzzy Neural Network Based Explicit Predictive Control Method for Multimode Process
Keke Huang, Xinyu Ying, Xinyi Liu, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 9, pp. 4876-4889
Closed Access | Times Cited: 2
Closing the Planning–Learning Loop With Application to Autonomous Driving
Panpan Cai, David Hsu
IEEE Transactions on Robotics (2022) Vol. 39, Iss. 2, pp. 998-1011
Open Access | Times Cited: 8
Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study
Evren Mert Turan, Johannes Jäschke
Journal of Process Control (2024) Vol. 143, pp. 103302-103302
Open Access | Times Cited: 1
Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty
Evren Mert Turan, Johannes Jäschke
Journal of Process Control (2023) Vol. 133, pp. 103144-103144
Open Access | Times Cited: 4
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach
Wenceslao Shaw Cortez, Ján Drgoňa, Aaron Tuor, et al.
2022 IEEE 61st Conference on Decision and Control (CDC) (2022)
Open Access | Times Cited: 6
Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach
Daniel Tabas, Baosen Zhang
2022 IEEE 61st Conference on Decision and Control (CDC) (2022), pp. 1142-1147
Open Access | Times Cited: 5
Data–Driven Wake Steering Control for a Simulated Wind Farm Model
Silvio Simani, Saverio Farsoni, Paolo Castaldi
International Journal of Robotics and Automation Technology (2023) Vol. 10, pp. 14-26
Open Access | Times Cited: 2
Deep Learning for Continuous-Time Leader Synchronization in Graphical Games Using Sampling and Deep Neural Networks
Da Zhang, Junaid Anwar, Syed Ali Asad Rizvi, et al.
ASME Letters in Dynamic Systems and Control (2023) Vol. 3, Iss. 3
Closed Access | Times Cited: 2
Trajectory following of a vehicle via computationally improved explicit nonlinear model predictive controller
Volkan Bekir Yangın, Özgen Akalın, Yaprak Yalçın
AIP conference proceedings (2024) Vol. 3129, pp. 030003-030003
Closed Access
Artificial intelligence–assisted data-driven control of power electronics systems
Shuai Zhao, Frede Blaabjerg, Huai Wang
Elsevier eBooks (2024), pp. 219-239
Closed Access
Experimental Evaluation of Advanced Controls for Hvac Systems with Physics-Informed Neural Networks
Xuezheng Wang, Bing Dong
(2024)
Closed Access
Why has advanced commercial HVAC control not yet achieved its promise?
Gregor P. Henze, Kevin J. Kircher, James Braun
Journal of Building Performance Simulation (2024), pp. 1-12
Open Access
Real-Time Implementation of Differentiable Predictive Control on Embedded Microcontroller Hardware: A Case Study
Ján Boldocký, Martin Gulan, Draguna Vrabie, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 28, pp. 971-976
Open Access
Deep Learning Based Synchronization of Continuous-time Multi-Agent Systems Using Output Feedback
Da Zhang, Junaid Anwar, Syed Ali Asad Rizvi, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 28, pp. 108-113
Open Access
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