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:
Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models
Niels Fraehr, Quan J. Wang, Wenyan Wu, et al.
Water Research (2024) Vol. 252, pp. 121202-121202
Open Access | Times Cited: 29
Niels Fraehr, Quan J. Wang, Wenyan Wu, et al.
Water Research (2024) Vol. 252, pp. 121202-121202
Open Access | Times Cited: 29
Showing 1-25 of 29 citing articles:
Flood Susceptibility Assessment in Urban Areas via Deep Neural Network Approach
Tatyana Panfilova, В В Кукарцев, В С Тынченко, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7489-7489
Open Access | Times Cited: 12
Tatyana Panfilova, В В Кукарцев, В С Тынченко, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7489-7489
Open Access | Times Cited: 12
Multi-resolution reconstruction of longitudinal streambed footprints using embedded sparse convolutional autoencoders
Yifan Yang, Zihao Tang, Dong Shao, et al.
Journal of Hydrology (2025), pp. 132852-132852
Open Access | Times Cited: 1
Yifan Yang, Zihao Tang, Dong Shao, et al.
Journal of Hydrology (2025), pp. 132852-132852
Open Access | Times Cited: 1
A surrogate machine learning modeling approach for enhancing the efficiency of urban flood modeling at metropolitan scales
Fatemeh Rezaei Aderyani, Keighobad Jafarzadegan, Hamid Moradkhani
Sustainable Cities and Society (2025) Vol. 123, pp. 106277-106277
Closed Access | Times Cited: 1
Fatemeh Rezaei Aderyani, Keighobad Jafarzadegan, Hamid Moradkhani
Sustainable Cities and Society (2025) Vol. 123, pp. 106277-106277
Closed Access | Times Cited: 1
Real-time flood maps forecasting for dam-break scenarios with a transformer-based deep learning model
Matteo Pianforini, Susanna Dazzi, Andrea Pilzer, et al.
Journal of Hydrology (2024) Vol. 635, pp. 131169-131169
Open Access | Times Cited: 7
Matteo Pianforini, Susanna Dazzi, Andrea Pilzer, et al.
Journal of Hydrology (2024) Vol. 635, pp. 131169-131169
Open Access | Times Cited: 7
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: 5
Xin Qi, Gustavo A. M. de Almeida, Sergio Maldonado
Journal of Hydrology (2024) Vol. 636, pp. 131263-131263
Open Access | Times Cited: 5
Choice of Gaussian Process kernels used in LSG models for flood inundation predictions
Jiabo Lu, Quan J. Wang, Niels Fraehr, et al.
Journal of Hydrology (2025), pp. 132949-132949
Closed Access
Jiabo Lu, Quan J. Wang, Niels Fraehr, et al.
Journal of Hydrology (2025), pp. 132949-132949
Closed Access
A Surrogate Machine Learning Model using Random Forests for Real-time Flood Inundation Simulations
Santosh Kumar Sasanapuri, C. T. Dhanya, A. K. Gosain
Environmental Modelling & Software (2025), pp. 106439-106439
Closed Access
Santosh Kumar Sasanapuri, C. T. Dhanya, A. K. Gosain
Environmental Modelling & Software (2025), pp. 106439-106439
Closed Access
SwinFlood: A hybrid CNN-Swin Transformer model for rapid spatiotemporal flood simulation
Wenbin Song, Mingfu Guan, Dapeng Yu
Journal of Hydrology (2025), pp. 133280-133280
Open Access
Wenbin Song, Mingfu Guan, Dapeng Yu
Journal of Hydrology (2025), pp. 133280-133280
Open Access
Identification of flood depth levels in urban waterlogging disaster caused by rainstorm using a CBAM-improved ResNet50
Luyuan Wu, Yunxiu Liu, Jianwei Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124382-124382
Closed Access | Times Cited: 3
Luyuan Wu, Yunxiu Liu, Jianwei Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124382-124382
Closed Access | Times Cited: 3
A novel multi-model ensemble framework for fluvial flood inundation mapping
Nikunj K. Mangukiya, Shashwat Kushwaha, Ashutosh Sharma
Environmental Modelling & Software (2024) Vol. 180, pp. 106163-106163
Closed Access | Times Cited: 3
Nikunj K. Mangukiya, Shashwat Kushwaha, Ashutosh Sharma
Environmental Modelling & Software (2024) Vol. 180, pp. 106163-106163
Closed Access | Times Cited: 3
Copula-based joint impact assessment of rainfall and tidal level on flood risk in tidal-influenced plain river network areas, Taihu Lake Basin
Hong Zhou, Jun Liu, Cheng Gao, et al.
Journal of Hydrology (2025), pp. 132785-132785
Closed Access
Hong Zhou, Jun Liu, Cheng Gao, et al.
Journal of Hydrology (2025), pp. 132785-132785
Closed Access
A surrogate model for the variable infiltration capacity model using physics-informed machine learning
Haiting Gu, Xiao Liang, Li Liu, et al.
Journal of Water and Climate Change (2025)
Open Access
Haiting Gu, Xiao Liang, Li Liu, et al.
Journal of Water and Climate Change (2025)
Open Access
A method to quantify the ecological benefits of river treatment projects with monetary values
Yadong Zhang, Zongkun Li, Wei Ge, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124653-124653
Closed Access
Yadong Zhang, Zongkun Li, Wei Ge, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124653-124653
Closed Access
Rapid flood inundation mapping by integrating deep learning-based image super-resolution with coarse-grid hydrodynamic modeling
Wenke Song, Mingfu Guan, Kaihua Guo, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access
Wenke Song, Mingfu Guan, Kaihua Guo, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access
U-RNN high-resolution spatiotemporal nowcasting of urban flooding
Xiaoyan Cao, Bao-Ying Wang, Yao Yao, et al.
Journal of Hydrology (2025), pp. 133117-133117
Closed Access
Xiaoyan Cao, Bao-Ying Wang, Yao Yao, et al.
Journal of Hydrology (2025), pp. 133117-133117
Closed Access
Accelerating compound flood risk assessments through active learning: A case study of Charleston County (USA)
Lucas Terlinden-Ruhl, Anaïs Couasnon, Dirk Eilander, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 4, pp. 1353-1375
Open Access
Lucas Terlinden-Ruhl, Anaïs Couasnon, Dirk Eilander, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 4, pp. 1353-1375
Open Access
Harnessing AHP and Fuzzy Scenarios for Resilient Flood Management in Arid Environments: Challenges and Pathways Toward Sustainability
Mohammad Hossein Sayadi, Zeynab Karimzadeh Motlagh, Dominika Dąbrowska, et al.
Water (2025) Vol. 17, Iss. 9, pp. 1276-1276
Open Access
Mohammad Hossein Sayadi, Zeynab Karimzadeh Motlagh, Dominika Dąbrowska, et al.
Water (2025) Vol. 17, Iss. 9, pp. 1276-1276
Open Access
Urban Flood Modelling: Challenges and Opportunities - A Stakeholder-Informed Analysis
Muhammad Qasim Mahmood, Xiuquan Wang, Farhan Aziz, et al.
Environmental Modelling & Software (2025), pp. 106507-106507
Open Access
Muhammad Qasim Mahmood, Xiuquan Wang, Farhan Aziz, et al.
Environmental Modelling & Software (2025), pp. 106507-106507
Open Access
Subgrid informed neural networks for high-resolution flood mapping
Herath Mudiyanselage Viraj Vidura Herath, Lucy Marshall, Abhishek Saha, et al.
Journal of Hydrology (2025), pp. 133329-133329
Open Access
Herath Mudiyanselage Viraj Vidura Herath, Lucy Marshall, Abhishek Saha, et al.
Journal of Hydrology (2025), pp. 133329-133329
Open Access
Incorporating Dynamic Drainage Supervision into Deep Learning for Accurate Real-Time Flood Simulation in Urban Areas
Hancheng Ren, Bo Pang, Gang Zhao, et al.
Water Research (2024) Vol. 270, pp. 122816-122816
Closed Access | Times Cited: 3
Hancheng Ren, Bo Pang, Gang Zhao, et al.
Water Research (2024) Vol. 270, pp. 122816-122816
Closed Access | Times Cited: 3
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
A deep learning model for real-time forecasting of 2-D river flood inundation maps
Matteo Pianforini, Susanna Dazzi, Andrea Pilzer, et al.
(2024)
Open Access | Times Cited: 1
Matteo Pianforini, Susanna Dazzi, Andrea Pilzer, et al.
(2024)
Open Access | Times Cited: 1
Compound effects of sea level and flow on river-induced flooding in coastal areas of southern Sweden
Fainaz Inamdeen, Magnus Larson
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102032-102032
Closed Access | Times Cited: 1
Fainaz Inamdeen, Magnus Larson
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102032-102032
Closed Access | Times Cited: 1
Gaussian process regression on multiple drivers and attributes for rapid prediction of maximum flood inundation extent and depth
Wen Wang, Quan J. Wang, Rory Nathan
Journal of Hydrology (2024), pp. 132476-132476
Open Access | Times Cited: 1
Wen Wang, Quan J. Wang, Rory Nathan
Journal of Hydrology (2024), pp. 132476-132476
Open Access | Times Cited: 1
Generation and selection of training events for surrogate flood inundation models
Niels Fraehr, Quan J. Wang, Wenyan Wu, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123570-123570
Open Access | Times Cited: 1
Niels Fraehr, Quan J. Wang, Wenyan Wu, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123570-123570
Open Access | Times Cited: 1
