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:
Feasibility Analysis of a POD-Based Reduced Order Model with Application in Eulerian–Lagrangian Simulations
Guangtao Duan, Shuo Li, Mikio Sakai
Industrial & Engineering Chemistry Research (2023) Vol. 63, Iss. 1, pp. 780-796
Closed Access | Times Cited: 6
Guangtao Duan, Shuo Li, Mikio Sakai
Industrial & Engineering Chemistry Research (2023) Vol. 63, Iss. 1, pp. 780-796
Closed Access | Times Cited: 6
Showing 6 citing articles:
A mPOD-based Reduced-order Modelling Approach for Fast Gas-solid Flow Simulations
Huiting Chen, Wangyan Li, Jie Bao, et al.
Chemical Engineering Science (2025), pp. 121155-121155
Open Access
Huiting Chen, Wangyan Li, Jie Bao, et al.
Chemical Engineering Science (2025), pp. 121155-121155
Open Access
On reduced-order modeling of gas–solid flows using deep learning
Shuo Li, Guangtao Duan, Mikio Sakai
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 4
Shuo Li, Guangtao Duan, Mikio Sakai
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 4
A data-driven method for fast predicting the long-term hydrodynamics of gas–solid flows: Optimized dynamic mode decomposition with control
Dandan Li, Bidan Zhao, Shuai Lu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 2
Dandan Li, Bidan Zhao, Shuai Lu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 2
On Fostering Predictions in Data-Driven Reduced Order Model for Eulerian–Lagrangian Simulations: Decision of Sufficient Training Data
Kai-En Yang, Shuo Li, Guangtao Duan, et al.
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 2
Kai-En Yang, Shuo Li, Guangtao Duan, et al.
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 2
Advanced graph neural network-based surrogate model for granular flows in arbitrarily shaped domains
Shuo Li, Mikio Sakai
Chemical Engineering Journal (2024) Vol. 500, pp. 157349-157349
Closed Access | Times Cited: 1
Shuo Li, Mikio Sakai
Chemical Engineering Journal (2024) Vol. 500, pp. 157349-157349
Closed Access | Times Cited: 1
Multiscale Modeling and Artificial Intelligence for Multiphase Flow Science
Xi Gao, Wei‐Cheng Yan, Xizhong Chen, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 22, pp. 9609-9610
Open Access
Xi Gao, Wei‐Cheng Yan, Xizhong Chen, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 22, pp. 9609-9610
Open Access
