
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:
Multi‐rate observer design and optimal control to maximize productivity of an industry‐scale fermentation process
Parth Shah, M. Ziyan Sheriff, Mohammed Saad Faizan Bangi, et al.
AIChE Journal (2022) Vol. 69, Iss. 2
Closed Access | Times Cited: 25
Parth Shah, M. Ziyan Sheriff, Mohammed Saad Faizan Bangi, et al.
AIChE Journal (2022) Vol. 69, Iss. 2
Closed Access | Times Cited: 25
Showing 25 citing articles:
Exploring the potential of time-series transformers for process modeling and control in chemical systems: An inevitable paradigm shift?
Niranjan Sitapure, Joseph Sang‐Il Kwon
Process Safety and Environmental Protection (2023) Vol. 194, pp. 461-477
Closed Access | Times Cited: 78
Niranjan Sitapure, Joseph Sang‐Il Kwon
Process Safety and Environmental Protection (2023) Vol. 194, pp. 461-477
Closed Access | Times Cited: 78
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers
Niranjan Sitapure, Joseph Sang‐Il Kwon
Computers & Chemical Engineering (2023) Vol. 177, pp. 108339-108339
Open Access | Times Cited: 52
Niranjan Sitapure, Joseph Sang‐Il Kwon
Computers & Chemical Engineering (2023) Vol. 177, pp. 108339-108339
Open Access | Times Cited: 52
Introducing Hybrid Modeling with Time-Series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization
Niranjan Sitapure, Joseph Sang‐Il Kwon
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 49, pp. 21278-21291
Open Access | Times Cited: 40
Niranjan Sitapure, Joseph Sang‐Il Kwon
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 49, pp. 21278-21291
Open Access | Times Cited: 40
Unveiling Latent Chemical Mechanisms: Hybrid Modeling for Estimating Spatiotemporally Varying Parameters in Moving Boundary Problems
Silabrata Pahari, Parth Shah, Joseph Sang‐Il Kwon
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 3, pp. 1501-1514
Closed Access | Times Cited: 16
Silabrata Pahari, Parth Shah, Joseph Sang‐Il Kwon
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 3, pp. 1501-1514
Closed Access | Times Cited: 16
Deep hybrid model‐based predictive control with guarantees on domain of applicability
Mohammed Saad Faizan Bangi, Joseph Sang‐Il Kwon
AIChE Journal (2022) Vol. 69, Iss. 5
Closed Access | Times Cited: 38
Mohammed Saad Faizan Bangi, Joseph Sang‐Il Kwon
AIChE Journal (2022) Vol. 69, Iss. 5
Closed Access | Times Cited: 38
Achieving Optimal Paper Properties: A Layered Multiscale kMC and LSTM-ANN-Based Control Approach for Kraft Pulping
Parth Shah, Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
Processes (2023) Vol. 11, Iss. 3, pp. 809-809
Open Access | Times Cited: 34
Parth Shah, Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
Processes (2023) Vol. 11, Iss. 3, pp. 809-809
Open Access | Times Cited: 34
Hybrid modeling in bioprocess dynamics: Structural variabilities, implementation strategies, and practical challenges
Biswanath Mahanty
Biotechnology and Bioengineering (2023) Vol. 120, Iss. 8, pp. 2072-2091
Open Access | Times Cited: 23
Biswanath Mahanty
Biotechnology and Bioengineering (2023) Vol. 120, Iss. 8, pp. 2072-2091
Open Access | Times Cited: 23
Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs
Silabrata Pahari, Parth Shah, Joseph Sang‐Il Kwon
Process Safety and Environmental Protection (2024) Vol. 204, pp. 292-302
Closed Access | Times Cited: 11
Silabrata Pahari, Parth Shah, Joseph Sang‐Il Kwon
Process Safety and Environmental Protection (2024) Vol. 204, pp. 292-302
Closed Access | Times Cited: 11
An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries
Bhavana Bhadriraju, Joseph Sang‐Il Kwon, Faisal Khan
Computers & Chemical Engineering (2023) Vol. 175, pp. 108275-108275
Closed Access | Times Cited: 18
Bhavana Bhadriraju, Joseph Sang‐Il Kwon, Faisal Khan
Computers & Chemical Engineering (2023) Vol. 175, pp. 108275-108275
Closed Access | Times Cited: 18
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: 6
Tom Vinestock, Michael Short, Keeran Ward, et al.
Current Opinion in Food Science (2024) Vol. 58, pp. 101196-101196
Open Access | Times Cited: 6
Hybrid modeling of first-principles and machine learning: A step-by-step tutorial review for practical implementation
Parth Shah, Silabrata Pahari, Raj Bhavsar, et al.
Computers & Chemical Engineering (2024), pp. 108926-108926
Closed Access | Times Cited: 5
Parth Shah, Silabrata Pahari, Raj Bhavsar, et al.
Computers & Chemical Engineering (2024), pp. 108926-108926
Closed Access | Times Cited: 5
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
Xinsong Lin, Ke Li, Changzhe Wu, et al.
Biotechnology and Bioprocess Engineering (2025)
Closed Access
Advancing biomass fractionation with real-time prediction of lignin content and MWd: A kMC-based multiscale model for optimized lignin extraction
Juhyeon Kim, Silabrata Pahari, Ji-Ae Ryu, et al.
Chemical Engineering Journal (2023) Vol. 479, pp. 147226-147226
Closed Access | Times Cited: 12
Juhyeon Kim, Silabrata Pahari, Ji-Ae Ryu, et al.
Chemical Engineering Journal (2023) Vol. 479, pp. 147226-147226
Closed Access | Times Cited: 12
From Shallow to Deep Bioprocess Hybrid Modeling: Advances and Future Perspectives
Roshanak Agharafeie, João R. C. Ramos, Jorge M. Mendes, et al.
Fermentation (2023) Vol. 9, Iss. 10, pp. 922-922
Open Access | Times Cited: 7
Roshanak Agharafeie, João R. C. Ramos, Jorge M. Mendes, et al.
Fermentation (2023) Vol. 9, Iss. 10, pp. 922-922
Open Access | Times Cited: 7
Optimal charging of Li-ion batteries using sparse identification of nonlinear dynamics
Bhavana Bhadriraju, Joo‐Young Lee, Silabrata Pahari, et al.
Chemical Engineering Journal (2024), pp. 155015-155015
Closed Access | Times Cited: 1
Bhavana Bhadriraju, Joo‐Young Lee, Silabrata Pahari, et al.
Chemical Engineering Journal (2024), pp. 155015-155015
Closed Access | Times Cited: 1
Advanced transformer models for structure-property relationship predictions of ionic liquid melting points
Aahil Khambhawala, Chi H. Lee, Silabrata Pahari, et al.
Chemical Engineering Journal (2024) Vol. 503, pp. 158578-158578
Closed Access | Times Cited: 1
Aahil Khambhawala, Chi H. Lee, Silabrata Pahari, et al.
Chemical Engineering Journal (2024) Vol. 503, pp. 158578-158578
Closed Access | Times Cited: 1
LSTM-based control of cellulose degree of polymerization in a batch pulp digester
Parth Shah, Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
2022 American Control Conference (ACC) (2023), pp. 4659-4664
Closed Access | Times Cited: 2
Parth Shah, Hyun‐Kyu Choi, Joseph Sang‐Il Kwon
2022 American Control Conference (ACC) (2023), pp. 4659-4664
Closed Access | Times Cited: 2
Machine learning methods for predicting the key metabolic parameters of Halomonas elongata DSM 2581 T
Guanxue Lai, Junxiong Yu, Jing Wang, et al.
Applied Microbiology and Biotechnology (2023) Vol. 107, Iss. 17, pp. 5351-5365
Closed Access | Times Cited: 2
Guanxue Lai, Junxiong Yu, Jing Wang, et al.
Applied Microbiology and Biotechnology (2023) Vol. 107, Iss. 17, pp. 5351-5365
Closed Access | Times Cited: 2
Modeling and simulation of the enzymatic kinetics for the production of Galactooligosaccharides (GOS) using an Artificial Neural Network hybrid model
Juan D. Hoyos, M.A. Noriega, Carlos A.M. Riascos
Digital Chemical Engineering (2023) Vol. 9, pp. 100132-100132
Open Access | Times Cited: 2
Juan D. Hoyos, M.A. Noriega, Carlos A.M. Riascos
Digital Chemical Engineering (2023) Vol. 9, pp. 100132-100132
Open Access | Times Cited: 2
Empowering Hybrid Models with Attention-Based Time-series Transformers: A Case Study in Batch Crystallization
Niranjan Sitapure, Joseph Sang‐Il Kwon
2022 American Control Conference (ACC) (2024) Vol. 2004, pp. 62-67
Closed Access
Niranjan Sitapure, Joseph Sang‐Il Kwon
2022 American Control Conference (ACC) (2024) Vol. 2004, pp. 62-67
Closed Access
A Hybrid Modeling Framework for Catalytic Systems: Sensitivity Analysis and Estimation of Activation Energies
Silabrata Pahari, Parth Shah, Chi H. Lee, et al.
2022 American Control Conference (ACC) (2024) Vol. 24, pp. 5376-5381
Closed Access
Silabrata Pahari, Parth Shah, Chi H. Lee, et al.
2022 American Control Conference (ACC) (2024) Vol. 24, pp. 5376-5381
Closed Access
Decentralized control strategies for energy systems safety
Bhavana Bhadriraju, Faisal Khan, Joseph Sang‐Il Kwon
Methods in chemical process safety (2024)
Closed Access
Bhavana Bhadriraju, Faisal Khan, Joseph Sang‐Il Kwon
Methods in chemical process safety (2024)
Closed Access
Zeaxanthin Production by an Antarctic Flavobacterium sp.: Effect of Dissolved Oxygen Concentration and Modeling Kinetics in Batch and Fed-Batch Fermentation
Eugenia Vila, Jimena Ferreira, Claudia Lareo, et al.
ACS Omega (2024) Vol. 9, Iss. 51, pp. 50367-50376
Open Access
Eugenia Vila, Jimena Ferreira, Claudia Lareo, et al.
ACS Omega (2024) Vol. 9, Iss. 51, pp. 50367-50376
Open Access
Control Lyapunov-Barrier function-based predictive control using a deep hybrid model with guarantees on domain of applicability
Mohammed Saad Faizan Bangi, Joseph Sang‐Il Kwon
2022 American Control Conference (ACC) (2023), pp. 1819-1824
Closed Access
Mohammed Saad Faizan Bangi, Joseph Sang‐Il Kwon
2022 American Control Conference (ACC) (2023), pp. 1819-1824
Closed Access
From Shallow to Deep Bioprocess Hybrid Modeling: Advances and Future Perspectives
Roshanak Agharafeie, João R. C. Ramos, Jorge M. Mendes, et al.
(2023)
Open Access
Roshanak Agharafeie, João R. C. Ramos, Jorge M. Mendes, et al.
(2023)
Open Access