
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:
Physics-informed dynamic mode decomposition for short-term and long-term prediction of gas-solid flows
Dandan Li, Bidan Zhao, Shuai Lu, et al.
Chemical Engineering Science (2024) Vol. 289, pp. 119849-119849
Open Access | Times Cited: 6
Dandan Li, Bidan Zhao, Shuai Lu, et al.
Chemical Engineering Science (2024) Vol. 289, pp. 119849-119849
Open Access | Times Cited: 6
Showing 6 citing articles:
A novel data-driven reduced-order model for the fast prediction of gas-solid heat transfer in fluidized beds
Xiaofei Li, Qilong Xu, Shuai Wang, et al.
Applied Thermal Engineering (2024) Vol. 253, pp. 123670-123670
Closed Access | Times Cited: 6
Xiaofei Li, Qilong Xu, Shuai Wang, et al.
Applied Thermal Engineering (2024) Vol. 253, pp. 123670-123670
Closed Access | Times Cited: 6
Data-Driven Fluidized Bed Flow Field Reconstruction Using Limited Measurements
Xieyu He, Yu Zhang, Qiang Zhou, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
Xieyu He, Yu Zhang, Qiang Zhou, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems
Arash Hajisharifi, Rahul Halder, Michele Girfoglio, et al.
Computers & Fluids (2024) Vol. 280, pp. 106361-106361
Open Access | Times Cited: 3
Arash Hajisharifi, Rahul Halder, Michele Girfoglio, et al.
Computers & Fluids (2024) Vol. 280, pp. 106361-106361
Open Access | Times Cited: 3
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: 3
Dandan Li, Bidan Zhao, Shuai Lu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 3
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
Physics-informed dynamic mode decomposition for reconstruction and prediction of dense particulate pipe flows
Zhen Zhang, H. R. Qi, Jing Huo, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access | Times Cited: 1
Zhen Zhang, H. R. Qi, Jing Huo, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access | Times Cited: 1
Evolutionary identification in dense separation fluidized beds using dynamic mode decomposition with pruning
Gansu Zhang, Hongyang Li, Zhiqiang Li, et al.
Chemical Engineering Journal (2024) Vol. 501, pp. 157477-157477
Closed Access
Gansu Zhang, Hongyang Li, Zhiqiang Li, et al.
Chemical Engineering Journal (2024) Vol. 501, pp. 157477-157477
Closed Access