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:
Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes
Zhaoyang Li, Minghao Han, Dat-Nguyen Vo, et al.
Computers & Chemical Engineering (2024) Vol. 191, pp. 108854-108854
Closed Access | Times Cited: 6
Zhaoyang Li, Minghao Han, Dat-Nguyen Vo, et al.
Computers & Chemical Engineering (2024) Vol. 191, pp. 108854-108854
Closed Access | Times Cited: 6
Showing 6 citing articles:
Efficient data-driven predictive control of nonlinear systems: A review and perspectives
Xiaojie Li, Meng Yan, Xuewen Zhang, et al.
Digital Chemical Engineering (2025), pp. 100219-100219
Open Access
Xiaojie Li, Meng Yan, Xuewen Zhang, et al.
Digital Chemical Engineering (2025), pp. 100219-100219
Open Access
An Optimization Approach to Select Koopman Observables for Data-Based Modeling Using Dynamic Mode Decomposition with Control
Amanda Martí-Coll, Adrián Rodríguez Ramos, Orestes Llanes‐Santiago
Processes (2025) Vol. 13, Iss. 1, pp. 284-284
Open Access
Amanda Martí-Coll, Adrián Rodríguez Ramos, Orestes Llanes‐Santiago
Processes (2025) Vol. 13, Iss. 1, pp. 284-284
Open Access
Control of wastewater treatment plants using economic-oriented MPC and attention-based RNN disturbance prediction models
Teo Protoulis, Ioannis Kordatos, Ioannis Kalogeropoulos, et al.
Computers & Chemical Engineering (2025), pp. 109009-109009
Closed Access
Teo Protoulis, Ioannis Kordatos, Ioannis Kalogeropoulos, et al.
Computers & Chemical Engineering (2025), pp. 109009-109009
Closed Access
Self‐tuning moving horizon estimation of nonlinear systems via physics‐informed machine learning Koopman modeling
Meng Yan, Minghao Han, Adrian Wing‐Keung Law, et al.
AIChE Journal (2024) Vol. 71, Iss. 2
Open Access | Times Cited: 1
Meng Yan, Minghao Han, Adrian Wing‐Keung Law, et al.
AIChE Journal (2024) Vol. 71, Iss. 2
Open Access | Times Cited: 1
Deep DeePC: Data‐enabled predictive control with low or no online optimization using deep learning
Xuewen Zhang, Kaixiang Zhang, Zhaojian Li, et al.
AIChE Journal (2024) Vol. 71, Iss. 3
Open Access | Times Cited: 1
Xuewen Zhang, Kaixiang Zhang, Zhaojian Li, et al.
AIChE Journal (2024) Vol. 71, Iss. 3
Open Access | Times Cited: 1
A modular transfer learning approach for complex chemical process network modeling
Ming Xiao, Haohao Zhang, Keerthana Vellayappan, et al.
Chemical Engineering Science (2024), pp. 121087-121087
Open Access
Ming Xiao, Haohao Zhang, Keerthana Vellayappan, et al.
Chemical Engineering Science (2024), pp. 121087-121087
Open Access
