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:

Flash Flood Water Depth Estimation Using SAR Images, Digital Elevation Models, and Machine Learning Algorithms
Ismail Elkhrachy
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 440-440
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Physics‐Informed Neural Networks of the Saint‐Venant Equations for Downscaling a Large‐Scale River Model
Dongyu Feng, Zeli Tan, Qizhi He
Water Resources Research (2023) Vol. 59, Iss. 2
Open Access | Times Cited: 40

Flood Detection with SAR: A Review of Techniques and Datasets
Donato Amitrano, Gerardo Di Martino, Alessio Di Simone, et al.
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 656-656
Open Access | Times Cited: 21

GIS-based flood susceptibility mapping using bivariate statistical model in Swat River Basin, Eastern Hindukush region, Pakistan
Zahid Ur Rahman, Waheed Ullah, Shibiao Bai, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 25

Flood susceptibility mapping using AutoML and a deep learning framework with evolutionary algorithms for hyperparameter optimization
Amala Mary Vincent, Parthasarathy Kulithalai Shiyam Sundar, P. Jidesh
Applied Soft Computing (2023) Vol. 148, pp. 110846-110846
Closed Access | Times Cited: 21

A hybrid novel framework for flood disaster risk control in developing countries based on smart prediction systems and prioritized scenarios
Hadi Akbarian, Mohammad Gheibi, Mostafa Hajiaghaei–Keshteli, et al.
Journal of Environmental Management (2022) Vol. 312, pp. 114939-114939
Closed Access | Times Cited: 30

INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management
Quentin Poterek, Alessandro Caretto, Rémi Braun, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 329-329
Open Access

Enhanced large-scale flood mapping using data-efficient unsupervised framework based on morphological active contour model and single synthetic aperture radar image
Rasheeda Soudagar, Arnab Roy Chowdhury, Alok Bhardwaj
Journal of Environmental Management (2025) Vol. 380, pp. 124836-124836
Closed Access

Novel utilization of simulated runoff as causative parameter to predict the hazard of flash floods
Mohamed Wahba, Hassan Shokry, Wael M. Elsadek, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 13
Closed Access | Times Cited: 14

Modeling rules of regional flash flood susceptibility prediction using different machine learning models
Yuguo Chen, Xinyi Zhang, Kejun Yang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13

Automated floodwater depth estimation using large multimodal model for rapid flood mapping
Temitope Akinboyewa, Huan Ning, M. Naser Lessani, et al.
Computational Urban Science (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3

Automated Flood Prediction along Railway Tracks Using Remotely Sensed Data and Traditional Flood Models
Abdul-Rashid Zakaria, Thomas Oommen, Pasi Lautala
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2332-2332
Open Access | Times Cited: 3

Flood Management, Characterization and Vulnerability Analysis Using an Integrated RS-GIS and 2D Hydrodynamic Modelling Approach: The Case of Deg Nullah, Pakistan
Ijaz Ahmad, Xiuquan Wang, Muhammad Waseem, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2138-2138
Open Access | Times Cited: 16

MFTSC: A Semantically Constrained Method for Urban Building Height Estimation Using Multiple Source Images
Yu‐Han Chen, Qingyun Yan, Weimin Huang
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5552-5552
Open Access | Times Cited: 8

UAV-based DEM augmentation using ConSinGAN for efficient flood parameter prediction with machine learning and 1D hydrodynamic models
Mrunalini Rana, Dhruvesh Patel, Vinay Vakharia, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103675-103675
Closed Access | Times Cited: 2

Detection of Flood Extent Using Sentinel-1A/B Synthetic Aperture Radar: An Application for Hurricane Harvey, Houston, TX
K. F. Tiampo, Lingcao Huang, Conor Simmons, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2261-2261
Open Access | Times Cited: 11

Automated High-Resolution Bathymetry from Sentinel-1 SAR Images in Deeper Nearshore Coastal Waters in Eastern Florida
Sanduni D. Mudiyanselage, Benjamin Wilkinson, Amr Abd-Elrahman
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 1-1
Open Access | Times Cited: 5

Estimation of Small Stream Water Surface Elevation Using UAV Photogrammetry and Deep Learning
Radosław Szostak, Marcin Pietroń, Przemysław Wachniew, et al.
(2024)
Open Access | Times Cited: 1

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

Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 10, pp. 3537-3559
Open Access | Times Cited: 1

Evaluation of typhoon-induced inundation losses associated with LULC using multi-temporal SAR and optical images
Jiafeng Wang, Yongjiu Feng, Rong Wang, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2227-2251
Open Access | Times Cited: 4

Reply on RC2
Ebrahim Ahmadisharaf
(2024)
Open Access

Reply on RC1
Ebrahim Ahmadisharaf
(2024)
Open Access

Estimation of Small-Stream Water Surface Elevation Using UAV Photogrammetry and Deep Learning
Radosław Szostak, Marcin Pietroń, Przemysław Wachniew, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1458-1458
Open Access

Comment on nhess-2023-152
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access

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