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:
A Surrogate Model for Shallow Water Equations Solvers with Deep Learning
Yalan Song, Chaopeng Shen, Xiaofeng Liu
Journal of Hydraulic Engineering (2023) Vol. 149, Iss. 11
Open Access | Times Cited: 9
Yalan Song, Chaopeng Shen, Xiaofeng Liu
Journal of Hydraulic Engineering (2023) Vol. 149, Iss. 11
Open Access | Times Cited: 9
Showing 9 citing articles:
Physics-informed Neural Implicit Flow neural network for parametric PDEs
Zixue Xiang, Wei Peng, Wen Yao, et al.
Neural Networks (2025) Vol. 185, pp. 107166-107166
Closed Access
Zixue Xiang, Wei Peng, Wen Yao, et al.
Neural Networks (2025) Vol. 185, pp. 107166-107166
Closed Access
Modeling Non‐Stationary Wind‐Induced Fluid Motions With Physics‐Informed Neural Networks for the Shallow Water Equations in a Polar Coordinate System
Zaiyang Zhou, Yu Kuai, Jianzhong Ge, et al.
Water Resources Research (2025) Vol. 61, Iss. 1
Open Access
Zaiyang Zhou, Yu Kuai, Jianzhong Ge, et al.
Water Resources Research (2025) Vol. 61, Iss. 1
Open Access
Bathymetry Inversion Using a Deep‐Learning‐Based Surrogate for Shallow Water Equations Solvers
Xiaofeng Liu, Yalan Song, Chaopeng Shen
Water Resources Research (2024) Vol. 60, Iss. 3
Open Access | Times Cited: 3
Xiaofeng Liu, Yalan Song, Chaopeng Shen
Water Resources Research (2024) Vol. 60, Iss. 3
Open Access | Times Cited: 3
Advances in Dam-Break Modeling for Flood Hazard Mitigation: Theory, Numerical Models, and Applications in Hydraulic Engineering
Francesca Aureli, Andrea Maranzoni, Gabriella Petaccia
Water (2024) Vol. 16, Iss. 8, pp. 1093-1093
Open Access | Times Cited: 2
Francesca Aureli, Andrea Maranzoni, Gabriella Petaccia
Water (2024) Vol. 16, Iss. 8, pp. 1093-1093
Open Access | Times Cited: 2
Shallow Learning vs. Deep Learning in Engineering Applications
Fereshteh Jafari, Kamran Moradi, Qobad Shafiee
(2024), pp. 29-76
Closed Access | Times Cited: 1
Fereshteh Jafari, Kamran Moradi, Qobad Shafiee
(2024), pp. 29-76
Closed Access | Times Cited: 1
Rapid 2D hydrodynamic flood modeling using deep learning surrogates
Francisco Haces‐Garcia, Natalya Maslennikova, Craig Glennie, et al.
Journal of Hydrology (2024), pp. 132561-132561
Closed Access | Times Cited: 1
Francisco Haces‐Garcia, Natalya Maslennikova, Craig Glennie, et al.
Journal of Hydrology (2024), pp. 132561-132561
Closed Access | Times Cited: 1
Physics-Informed Neural Networks for Steady-State Weir Flows Using the Serre–Green–Naghdi Equations
Congfang Ai, Yuxiang Ma, Zhihan Li, et al.
Journal of Hydraulic Engineering (2024) Vol. 151, Iss. 1
Closed Access
Congfang Ai, Yuxiang Ma, Zhihan Li, et al.
Journal of Hydraulic Engineering (2024) Vol. 151, Iss. 1
Closed Access
Physics-Informed Neural Network Approach for Solving the One-Dimensional Unsteady Shallow-Water Equations in Riverine Systems
Zeda Yin, Jimeng Shi, Linlong Bian, et al.
Journal of Hydraulic Engineering (2024) Vol. 151, Iss. 1
Closed Access
Zeda Yin, Jimeng Shi, Linlong Bian, et al.
Journal of Hydraulic Engineering (2024) Vol. 151, Iss. 1
Closed Access
Bed Topography Inference from Velocity Field Using Deep Learning
Mehrdad Kiani-Oshtorjani, Christophe Ancey
Water (2023) Vol. 15, Iss. 23, pp. 4055-4055
Open Access | Times Cited: 1
Mehrdad Kiani-Oshtorjani, Christophe Ancey
Water (2023) Vol. 15, Iss. 23, pp. 4055-4055
Open Access | Times Cited: 1
