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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:

Where Reinforcement Learning Meets Process Control: Review and Guidelines
Ruan de Rezende Faria, Bruno Didier Olivier Capron, Argimiro R. Secchi, et al.
Processes (2022) Vol. 10, Iss. 11, pp. 2311-2311
Open Access | Times Cited: 25

Showing 25 citing articles:

Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto
Processes (2024) Vol. 12, Iss. 2, pp. 251-251
Open Access | Times Cited: 11
A data-driven tracking control framework using physics-informed neural networks and deep reinforcement learning for dynamical systems
Ruan de Rezende Faria, Bruno Didier Olivier Capron, Argimiro R. Secchi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107256-107256
Closed Access | Times Cited: 16
Comparative Performance of UPQC Control System Based on PI-GWO, Fractional Order Controllers, and Reinforcement Learning Agent
Marcel Nicola, Claudiu-Ionel Nicola, Dumitru Sacerdoțianu, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 494-494
Open Access | Times Cited: 13
Revolutionary Integration of Artificial Intelligence with Meta-Optics-Focus on Metalenses for Imaging
Nikolay L. Kazanskiy, Svetlana N. Khonina, Ivan Oseledets, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 143-143
Open Access | Times Cited: 5
A robust deep reinforcement learning approach for the control of crystallization processes
José Rodrigues Torraca, Bruno Didier Olivier Capron, Argimiro R. Secchi
Computers & Chemical Engineering (2025), pp. 109114-109114
Closed Access
Simulated Autonomous Driving Using Reinforcement Learning: A Comparative Study on Unity’s ML-Agents Framework
Yusef Savid, Reza Mahmoudi, Rytis Maskeliūnas, et al.
Information (2023) Vol. 14, Iss. 5, pp. 290-290
Open Access | Times Cited: 9
A methodology combining reinforcement learning and simulation to optimize the in silico culture of epithelial sheets
Alberto Castrignanò, Roberta Bardini, Alessandro Savino, et al.
Journal of Computational Science (2024) Vol. 76, pp. 102226-102226
Open Access | Times Cited: 3
One-Layer Real-Time Optimization Using Reinforcement Learning: A Review with Guidelines
Ruan de Rezende Faria, Bruno Didier Olivier Capron, Maurício B. de Souza, et al.
Processes (2023) Vol. 11, Iss. 1, pp. 123-123
Open Access | Times Cited: 8
Intelligent Control of Wastewater Treatment Plants Based on Model-Free Deep Reinforcement Learning
Óscar Aponte-Rengifo, Mario Francisco, Ramón Vilanova, et al.
Processes (2023) Vol. 11, Iss. 8, pp. 2269-2269
Open Access | Times Cited: 7
Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig
Pedro de Azevedo Delou, José Matias, Johannes Jäschke, et al.
Journal of Process Control (2023) Vol. 132, pp. 103111-103111
Closed Access | Times Cited: 7
Development of AI-based process controller of sour water treatment unit using deep reinforcement learning
Hai Wang, Yeshuang Guo, Long Li, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 157, pp. 105407-105407
Closed Access | Times Cited: 2
Design and Application of Deep Reinforcement Learning Algorithms Based on Unbiased Exploration Strategies for Value Functions
Pingli Lv
Measurement Sensors (2024) Vol. 34, pp. 101241-101241
Open Access | Times Cited: 2
Gas-Lift Optimization Using Physics-Informed Deep Reinforcement Learning
Ruan de Rezende Faria, Bruno Didier Olivier Capron, Argimiro R. Secchi, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 32, pp. 14199-14210
Open Access | Times Cited: 2
Improvement of Linear and Nonlinear Control for PMSM Using Computational Intelligence and Reinforcement Learning
Marcel Nicola, Claudiu-Ionel Nicola
Mathematics (2022) Vol. 10, Iss. 24, pp. 4667-4667
Open Access | Times Cited: 8
Valorization of Deep Eutectic Solvent Pretreated Lignocellulosic Biomass for Improved Biogas Production
Akinola David Olugbemide, Ikhazuagbe H. Ifijen, Chandan Mahata, et al.
(2024), pp. 127-153
Closed Access | Times Cited: 1
Machine learning-enhanced optimal catalyst selection for water-gas shift reaction
Rahul Golder, S. Sarkar Pal, S. Che, et al.
Digital Chemical Engineering (2024) Vol. 12, pp. 100165-100165
Open Access | Times Cited: 1
Genetic Cache: A Machine Learning Approach to Designing DRAM Cache Controllers in HBM Systems
Morteza Amouzegar, Morteza Rezaalipour, Masoud Dehyadegari
ACM Journal on Emerging Technologies in Computing Systems (2024) Vol. 20, Iss. 3, pp. 1-24
Closed Access | Times Cited: 1
Application of the ALRW-DDPG Algorithm in Offshore Oil–Gas–Water Separation Control
Xiaoyong He, Han Pang, Boying Liu, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4623-4623
Open Access | Times Cited: 1
Applications of machine learning for modeling and advanced control of crystallization processes: Developments and perspectives
Fernando Arrais Romero Dias Lima, Marcellus G.F. de Moraes, Evaristo C. Biscaia, et al.
Digital Chemical Engineering (2024), pp. 100208-100208
Open Access | Times Cited: 1
Application of self-improving Q-learning controller for a class of dynamical processes: Implementation aspects
Jakub Musial, Krzysztof Stebel, Jacek Czeczot, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111250-111250
Closed Access
Comparison of Reinforcement Learning and Model Predictive Control for a Nonlinear Continuous Process
Vikas Rajpoot, Sudhakar Munusamy, Tanuja Joshi, et al.
IFAC-PapersOnLine (2024) Vol. 57, pp. 304-308
Open Access
Transforming High-Resolution Imaging: A Comprehensive Review of Advances in Metasurfaces and Metalenses
Nikolay L. Kazanskiy, Svetlana N. Khonina, Muhammad Ali Butt
Materials Today Physics (2024), pp. 101628-101628
Closed Access
Enhanced distributed learning-based coordination of multiple approximate MPC for large-scale systems
Rui Ren, Shaoyuan Li
Process Safety and Environmental Protection (2024)
Closed Access
Plasma Control: A Review of Developments and Applications of Plasma Medicine Control Mechanisms
Jonathan E. Thomas, Katharina Stapelmann
Plasma (2024) Vol. 7, Iss. 2, pp. 386-426
Open Access
Application of ALRW‐DDPG Algorithm on Offshore Oil‐Gas‐Water Separation Control
Xiaoyong He, Han Pang, Boying Liu, et al.
(2024)
Open Access
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