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:
Upscaling the shallow water equations for fast flood modelling
Alireza Shamkhalchian, Gustavo A. M. de Almeida
Journal of Hydraulic Research (2020) Vol. 59, Iss. 5, pp. 739-756
Open Access | Times Cited: 8
Alireza Shamkhalchian, Gustavo A. M. de Almeida
Journal of Hydraulic Research (2020) Vol. 59, Iss. 5, pp. 739-756
Open Access | Times Cited: 8
Showing 8 citing articles:
Physics-informed neural networks for solving flow problems modeled by the 2D Shallow Water Equations without labeled data
Xin Qi, Gustavo A. M. de Almeida, Sergio Maldonado
Journal of Hydrology (2024) Vol. 636, pp. 131263-131263
Open Access | Times Cited: 3
Xin Qi, Gustavo A. M. de Almeida, Sergio Maldonado
Journal of Hydrology (2024) Vol. 636, pp. 131263-131263
Open Access | Times Cited: 3
Grid edge classification method to enhance levee resolution in dual-grid flood inundation models
Daniel T. Kahl, Jochen E. Schubert, Ariane Jong‐Levinger, et al.
Advances in Water Resources (2022) Vol. 168, pp. 104287-104287
Open Access | Times Cited: 15
Daniel T. Kahl, Jochen E. Schubert, Ariane Jong‐Levinger, et al.
Advances in Water Resources (2022) Vol. 168, pp. 104287-104287
Open Access | Times Cited: 15
Porosity Models for Large-Scale Urban Flood Modelling: A Review
Benjamin Dewals, Martin Bruwier, Michel Pirotton, et al.
Water (2021) Vol. 13, Iss. 7, pp. 960-960
Open Access | Times Cited: 18
Benjamin Dewals, Martin Bruwier, Michel Pirotton, et al.
Water (2021) Vol. 13, Iss. 7, pp. 960-960
Open Access | Times Cited: 18
An Improved PINN Algorithm for Shallow Water Equations Driven by Deep Learning
Yanling Li, Qianxing Sun, Junfang Wei, et al.
Symmetry (2024) Vol. 16, Iss. 10, pp. 1376-1376
Open Access | Times Cited: 2
Yanling Li, Qianxing Sun, Junfang Wei, et al.
Symmetry (2024) Vol. 16, Iss. 10, pp. 1376-1376
Open Access | Times Cited: 2
Physics‐Informed Neural Networks for the Augmented System of Shallow Water Equations With Topography
Susanna Dazzi
Water Resources Research (2024) Vol. 60, Iss. 10
Open Access | Times Cited: 1
Susanna Dazzi
Water Resources Research (2024) Vol. 60, Iss. 10
Open Access | Times Cited: 1
Benchmark of computational hydraulics models for open-channel flow with lateral cavities
Pablo Ouro, Luís Cea, Sergio Croquer, et al.
Journal of Hydraulic Research (2024) Vol. 62, Iss. 5, pp. 441-460
Open Access
Pablo Ouro, Luís Cea, Sergio Croquer, et al.
Journal of Hydraulic Research (2024) Vol. 62, Iss. 5, pp. 441-460
Open Access
Physics informed neural networks for solving flow problems modeled by the Shallow Water Equations
Xin Qi, Gustavo A. M. de Almeida, Sergio Maldonado
Authorea (Authorea) (2023)
Open Access | Times Cited: 1
Xin Qi, Gustavo A. M. de Almeida, Sergio Maldonado
Authorea (Authorea) (2023)
Open Access | Times Cited: 1
Effects of reconstruction of variables on the accuracy and computational performance of upscaling solutions of the shallow water equations
Alireza Shamkhalchian, Gustavo A. M. de Almeida
Journal of Hydraulic Research (2023) Vol. 61, Iss. 3, pp. 409-421
Open Access
Alireza Shamkhalchian, Gustavo A. M. de Almeida
Journal of Hydraulic Research (2023) Vol. 61, Iss. 3, pp. 409-421
Open Access
