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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:

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

Showing 14 citing articles:

Simultaneous multistep transformer architecture for model predictive control
Junho Park, Mohammad Reza Babaei, Samuel Arce Muñoz, et al.
Computers & Chemical Engineering (2023) Vol. 178, pp. 108396-108396
Closed Access | Times Cited: 19
Controlling tangential flow filtration in biomanufacturing processes via machine learning: A literature review
Bastian Oetomo, Ling Luo, Yun Qu, et al.
Digital Chemical Engineering (2025), pp. 100211-100211
Open Access
Enhancing Vehicle Convoy Safety and Comfort through Model Predictive Control-based Variable Inter-vehicular Spacing
Mu’azu Jibrin Musa, Yahaya Otuoze Salihu, Ahmed Eltayeb
Transportation research procedia (2025) Vol. 84, pp. 689-696
Open Access
Optimal Model Predictive Control for Virtual Inertia Control of Autonomous Microgrids
Amr Saleh, Hany M. Hasanien, Rania A. Turky, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5009-5009
Open Access | Times Cited: 13
A practically implementable reinforcement learning‐based process controller design
Hesam Hassanpour, Xiaonian Wang, Brandon Corbett, et al.
AIChE Journal (2023) Vol. 70, Iss. 1
Closed Access | Times Cited: 9
A practically implementable reinforcement learning control approach by leveraging offset-free model predictive control
Hesam Hassanpour, Prashant Mhaskar, Brandon Corbett
Computers & Chemical Engineering (2023) Vol. 181, pp. 108511-108511
Closed Access | Times Cited: 8
Deep learning-based model predictive control for real-time supply chain optimization
Jing Wang, Christopher L.E. Swartz, Kai Huang
Journal of Process Control (2023) Vol. 129, pp. 103049-103049
Closed Access | Times Cited: 7
Deep Learning Model Predictive Control Frameworks: Application to a Fluid Catalytic Cracker–Fractionator Process
Omar Santander, Vidyashankar Kuppuraj, Christopher A. Harrison, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 27, pp. 10587-10600
Closed Access | Times Cited: 6
Neurodynamics for Equality-Constrained Time-Variant Nonlinear Optimization Using Discretization
Yang Shi, Wangrong Sheng, Shuai Li, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2354-2364
Closed Access | Times Cited: 6
Time-Series Forecasting of Large-Scale Green Ammonia Production: An Intelligent Dynamic Modeling Case in the Inner Mongolia Area of China
Wei Zhang, Xiayang Li, Huan Zhang, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 28, pp. 12526-12546
Closed Access | Times Cited: 1
A Review on Intelligent Control Theory and Applications in Process Optimization and Smart Manufacturing
Min‐Fan Ricky Lee
Processes (2023) Vol. 11, Iss. 11, pp. 3171-3171
Open Access | Times Cited: 4
Multi‐stage fusion regression network for quality prediction of batch process
Hongjuan Yao, Xiaoqiang Zhao, Wei Li, et al.
The Canadian Journal of Chemical Engineering (2023) Vol. 101, Iss. 12, pp. 6977-6994
Closed Access | Times Cited: 3
Design of Line Loss Rate Calculation Method for Low-Voltage Desk Area Based on GA-LMBP Neural Network Model
Zetao Jiang, Gu Li, Yongzhi Cai, et al.
IEEE Access (2023) Vol. 11, pp. 144394-144407
Open Access | Times Cited: 2
A deep-learning-based surrogate modeling method with application to plasma processing
Pengwei Liu, Qinxin Wu, Xingyu Ren, et al.
Process Safety and Environmental Protection (2024) Vol. 211, pp. 299-317
Closed Access
Framework design based on data-driven for evaluating the efficiency of group collaboration in scientific research teams
ZhongGui Pei
The Journal of Supercomputing (2023) Vol. 80, Iss. 7, pp. 10148-10171
Closed Access
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