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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:

Automatic control of simulated moving bed process with deep Q-network
Tae Hoon Oh, Jong Woo Kim, Sang Hwan Son, et al.
Journal of Chromatography A (2021) Vol. 1647, pp. 462073-462073
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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: 13
Reinforcement Learning for Process Control: Review and Benchmark Problems
J. W. Park, Hans-Hermann Jung, Jong Woo Kim, et al.
International Journal of Control Automation and Systems (2025) Vol. 23, Iss. 1, pp. 1-40
Closed Access
A hybrid model for diabetic retinopathy and diabetic macular edema severity grade classification
A. S. Sabeena, M. K. Jeyakumar
International Journal of Diabetes in Developing Countries (2025)
Closed Access
Integration of reinforcement learning and model predictive control to optimize semi‐batch bioreactor
Tae Hoon Oh, Hyun Min Park, Jong Woo Kim, et al.
AIChE Journal (2022) Vol. 68, Iss. 6
Closed Access | Times Cited: 32
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development
Nghia Duong‐Trung, Stefan Born, Jong Woo Kim, et al.
Biochemical Engineering Journal (2022) Vol. 190, pp. 108764-108764
Open Access | Times Cited: 22
Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning
Tianhao Liu, Chunhua Yang, Can Zhou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 5929-5941
Closed Access | Times Cited: 5
Discrete Dynamic System Modeling for Simulated Moving Bed Processes
Chao-Fan Xie, Hong Zhang, Rey-Chue Hwang
Mathematics (2024) Vol. 12, Iss. 10, pp. 1520-1520
Open Access | Times Cited: 1
Resilience-based explainable reinforcement learning in chemical process safety
Kinga Szatmári, Gergely Horváth, Sándor Németh, et al.
Computers & Chemical Engineering (2024) Vol. 191, pp. 108849-108849
Open Access | Times Cited: 1
Integration of resilience engineering and reinforcement learning in chemical process safety
Kinga Szatmári, Sándor Németh, Alex Kummer
Process Safety and Environmental Protection (2023) Vol. 181, pp. 343-353
Open Access | Times Cited: 4
Multi-strategy control to extend the feasibility region for robust model predictive control
Tae Hoon Oh, Jong Woo Kim, Sang Hwan Son, et al.
Journal of Process Control (2022) Vol. 116, pp. 25-33
Closed Access | Times Cited: 7
Data-Driven Inference of Synthesis Guidelines for High-Performance Zeolite-Based Selective Catalytic Reduction Catalysts at Low Temperatures
Shinyoung Bae, Hwangho Lee, Jun‐Seop Shin, et al.
Chemistry of Materials (2022) Vol. 34, Iss. 17, pp. 7761-7773
Closed Access | Times Cited: 6
Application of Intelligent Control in Chromatography Separation Process
Chao-Fan Xie, Hong Zhang, Rey-Chue Hwang
(2023)
Open Access | Times Cited: 2
GD-STFA: Gradient Descent Sea Turtle Foraging Algorithm enabled Deep Q Network for Diabetic Retinopathy Detection
A. S. Sabeena, M. K. Jeyakumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 53817-53836
Closed Access | Times Cited: 2
Mitigating Online Microgrid Controller Deployment Issues with Learning Techniques: An Approximate MPC Approach
Zinédine Taïeb, Guillaume Sandou, Nicolas Vasset, et al.
2018 4th International Conference on Optimization and Applications (ICOA) (2024), pp. 1-6
Closed Access
A Twin Agent Reinforcement Learning Framework by Integrating Deterministic and Stochastic Policies
Nikita Gupta, Shikhar Anand, Deepak Kumar, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 24, pp. 10692-10703
Closed Access
Stability and Convergence Analysis of the Discrete Dynamical System for Simulating a Moving Bed
Chao-Fan Xie, Hong Zhang, Rey-Chue Hwang
Axioms (2024) Vol. 13, Iss. 9, pp. 586-586
Open Access
Primal–dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization
Jong Woo Kim, Tae Hoon Oh, Sang Hwan Son, et al.
Computers & Chemical Engineering (2022) Vol. 167, pp. 108004-108004
Closed Access | Times Cited: 3
Integrating Path Integral Control With Backstepping Control to Regulate Stochastic System
Shinyoung Bae, Tae Hoon Oh, Jong Woo Kim, et al.
International Journal of Control Automation and Systems (2023) Vol. 21, Iss. 7, pp. 2124-2138
Closed Access | Times Cited: 1
Quantitative comparison of reinforcement learning and data-driven model predictive control for chemical and biological processes
Tae Hoon Oh
Computers & Chemical Engineering (2023) Vol. 181, pp. 108558-108558
Closed Access | Times Cited: 1
Application of Digital Twin to Monitor and Optimize Utility Process
Ho Dong Lee, Kunpeng Guo, Lorena F.S. Souza, et al.
2021 21st International Conference on Control, Automation and Systems (ICCAS) (2021), pp. 376-381
Closed Access | Times Cited: 3
Prediction of Soil Heavy Metal Content Based on Deep Reinforcement Learning
Yongqi Zhao, Zhangdong Wei, Jing Wen
Scientific Programming (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 2
Improved offset-free model predictive control utilizing learned model-plant mismatch map
Sang Hwan Son, Jong Woo Kim, Tae Hoon Oh, et al.
IFAC-PapersOnLine (2022) Vol. 55, Iss. 7, pp. 792-797
Open Access | Times Cited: 2
Q-MPC: Integration of Reinforcement Learning and Model Predictive Control for Safe Learning
Tae Hoon Oh, Jong Min Lee
Computer-aided chemical engineering/Computer aided chemical engineering (2022), pp. 47-55
Closed Access | Times Cited: 1
Q-MPC: stable and efficient reinforcement learning using model predictive control
Tae Hoon Oh
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 2727-2732
Open Access
Application of Intelligent Control in Chromatography Separation Process
Chao-Fan Xie, Hong Zhang, Rey-Chue Hwang
Processes (2023) Vol. 11, Iss. 12, pp. 3443-3443
Open Access
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