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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:

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

Showing 1-25 of 32 citing articles:

Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Thanh Tung Khuat, Robert Bassett, Ellen Otte, et al.
Computers & Chemical Engineering (2024) Vol. 182, pp. 108585-108585
Open Access | Times Cited: 19
Machine learning in bioprocess development: from promise to practice
Laura M. Helleckes, Johannes Hemmerich, Wolfgang Wiechert, et al.
Trends in biotechnology (2022) Vol. 41, Iss. 6, pp. 817-835
Open Access | Times Cited: 55
AI-based optimal control of fed-batch biopharmaceutical process leveraging deep reinforcement learning
Haoran Li, Tong Qiu, Fengqi You
Chemical Engineering Science (2024) Vol. 292, pp. 119990-119990
Closed Access | Times Cited: 6
Hybrid Modeling for On-Line Fermentation Optimization and Scale-Up: A Review
Mariana Albino, Carina L. Gargalo, Gisela Nadal‐Rey, et al.
Processes (2024) Vol. 12, Iss. 8, pp. 1635-1635
Open Access | Times Cited: 6
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
Advances in modeling analysis for multi-parameter bioreactor process control
Xinsong Lin, Ke Li, Changzhe Wu, et al.
Biotechnology and Bioprocess Engineering (2025)
Closed Access
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?
Ali Mesbah, Kim P. Wabersich, Angela P. Schoellig, et al.
2022 American Control Conference (ACC) (2022), pp. 342-357
Closed Access | Times Cited: 31
AI-Driven Decision-Making Applications in Pharmaceutical Sciences
Bancha Yingngam, Abhiruj Navabhatra, Polpan Sillapapibool
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 1-63
Closed Access | Times Cited: 5
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
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
TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control
Tanuja Joshi, Hariprasad Kodamana, Harikumar Kandath, et al.
Control Engineering Practice (2023) Vol. 134, pp. 105462-105462
Closed Access | Times Cited: 13
Computer-aided chemical engineering research advances in precision fermentation
Tom Vinestock, Michael Short, Keeran Ward, et al.
Current Opinion in Food Science (2024) Vol. 58, pp. 101196-101196
Open Access | Times Cited: 3
A reinforcement learning-based temperature control of fluidized bed reactor in gas-phase polyethylene process
Xiaodong Hong, Zhoupeng Shou, Wanke Chen, et al.
Computers & Chemical Engineering (2024) Vol. 183, pp. 108588-108588
Closed Access | Times Cited: 2
Interfacing data science with cell therapy manufacturing: where we are and where we need to be
Bryan Wang, Rui Qi Chen, Jing Li, et al.
Cytotherapy (2024) Vol. 26, Iss. 9, pp. 967-979
Closed Access | Times Cited: 2
Artificial intelligence and machine learning applications for cultured meat
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
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: 7
Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control
Sang Hwan Son, Jong Woo Kim, Tae Hoon Oh, et al.
Journal of Process Control (2022) Vol. 115, pp. 112-122
Closed Access | Times Cited: 10
Batch process control based on reinforcement learning with segmented prioritized experience replay
Chen Xu, W. F. Mader, Hongfeng Tao
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056202-056202
Closed Access | Times Cited: 1
Global Stabilizing Control of a Continuous Ethanol Fermentation Process Starting from Batch Mode Production
Yuxin Qin, Chi Zhai
Processes (2024) Vol. 12, Iss. 4, pp. 819-819
Open Access | Times Cited: 1
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
From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology
Xueting Wang, Ali Mohsin, Yifei Sun, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 744-744
Open Access | Times Cited: 3
Data-Driven Model Predictive Control Using Deep Double Expected Sarsa
Hoomaan MoradiMaryamnegari, Marco Frego, Angelika Peer
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2023), pp. 345-350
Closed Access | Times Cited: 2
Deep-Q-Network-based Economic Model Predictive Control for Wind Energy Conversion System
Jinghan Cui, Jinwu Gao, Yuqi Liu, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 2187-2192
Closed Access
Supply responsive scheduling for ethylene cracking furnace systems based on deep reinforcement learning
Haoran Li, Tong Qiu
AIChE Journal (2024) Vol. 70, Iss. 12
Closed Access
Supervised integrated deep deterministic policy gradient model for enhanced control of chemical processes
Jiaxin Zhang, Songdi Fan, Zemin Feng, et al.
Chemical Engineering Science (2024) Vol. 301, pp. 120762-120762
Closed Access
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