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OpenAlex Citation Counts

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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 Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions
Jin Teng, Dave Penton, Catherine Ticehurst, et al.
Water Resources Research (2022) Vol. 58, Iss. 11
Open Access | Times Cited: 15

Showing 15 citing articles:

Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
Yaoxing Liao, Zhaoli Wang, Xiaohong Chen, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129945-129945
Closed Access | Times Cited: 80
A framework to assess suitability of global digital elevation models for hydrodynamic modelling in data scarce regions
Vineela Nandam, P. L. Patel
Journal of Hydrology (2024) Vol. 630, pp. 130654-130654
Closed Access | Times Cited: 11
A coupled modeling approach for urban flood inundation mapping under data-limited conditions
Ashutosh Pati, Bhabagrahi Sahoo, Ravindra V. Kale
Journal of Hydrology (2025), pp. 133573-133573
Closed Access
Floodplain inundation in the Murray–Darling Basin under current and future climate conditions
Jin Teng, Francis H. S. Chiew, Hongxing Zheng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps
Dave Penton, Jin Teng, Catherine Ticehurst, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Quantification of Surface Pattern Based on the Binary Terrain Structure in Mountainous Areas
Sijin Li, Xin Yang, Xingyu Zhou, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2664-2664
Open Access | Times Cited: 6
MatFlood: An efficient algorithm for mapping flood extent and depth
Alejandra R. Enríquez, Thomas Wahl, Stefan A. Talke, et al.
Environmental Modelling & Software (2023) Vol. 169, pp. 105829-105829
Open Access | Times Cited: 5
A Comparison of Machine Learning Models for Predicting Flood Susceptibility Based on the Enhanced NHAND Method
Caisu Meng, Hailiang Jin
Sustainability (2023) Vol. 15, Iss. 20, pp. 14928-14928
Open Access | Times Cited: 5
Improved flood depth estimation with SAR image, digital elevation model, and machine learning schemes
Yuei‐An Liou, Duc-Vinh Hoang
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101775-101775
Open Access | Times Cited: 1
On the role of digital terrain topography and land use dynamics in flood hazard assessment of urban floodplain
Vineela Nandam, P. L. Patel
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11877-11902
Closed Access | Times Cited: 1
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Andrea Betterle, Peter Salamon
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 8, pp. 2817-2836
Open Access | Times Cited: 1
Risk-based shelter network design in flood-prone areas: An application to Haiti
Maedeh Sharbaf, Valérie Bélanger, Marilène Cherkesly, et al.
Omega (2024), pp. 103194-103194
Closed Access | Times Cited: 1
Risk-Based Shelter Network Design in Flood-Prone Areas: an Application to Haiti
Maedeh Sharbaf, Valérie Bélanger, Marilène Cherkesly, et al.
(2024)
Closed Access
Risk-Based Shelter Network Design in Flood-Prone Areas: An Application to Haiti
Marie‐Ève Rancourt, Maedeh Sharbaf, Valérie Bélanger, et al.
(2024)
Closed Access
Choosing the Optimal Global Digital Elevation Model for Stream Network Delineation: Beyond Vertical Accuracy
Jana Marešová, Petr Bašta, Kateřina Gdulová, et al.
Earth and Space Science (2024) Vol. 11, Iss. 12
Closed Access
Space-time velocimetry to estimate discharge during the 2022 River Murray flood

MODSIM2021, 24th International Congress on Modelling and Simulation. (2023)
Open Access
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