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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:

From local to regional compound flood mapping with deep learning and data fusion techniques
David F. Muñoz, Paúl Muñoz, Hamed Moftakhari, et al.
The Science of The Total Environment (2021) Vol. 782, pp. 146927-146927
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Deep learning methods for flood mapping: a review of existing applications and future research directions
Roberto Bentivoglio, Elvin Isufi, Sebastiaan N. Jonkman, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 16, pp. 4345-4378
Open Access | Times Cited: 203
The future of coastal monitoring through satellite remote sensing
Sean Vitousek, Daniel Buscombe, Kilian Vos, et al.
Cambridge Prisms Coastal Futures (2022) Vol. 1
Open Access | Times Cited: 105
Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling
Keighobad Jafarzadegan, Hamid Moradkhani, Florian Pappenberger, et al.
Reviews of Geophysics (2023) Vol. 61, Iss. 2
Open Access | Times Cited: 75
Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine
Ebrahim Hamidi, B. G. Peter, David F. Muñoz, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-19
Closed Access | Times Cited: 51
Between flood and drought: How cities are facing water surplus and scarcity
Jolanta Dąbrowska, Ana Eugenia Menéndez Orellana, Wojciech Kilian, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118557-118557
Closed Access | Times Cited: 48
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
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: 29
Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery
Ali Jamali, Swalpa Kumar Roy, Leila Hashemi-Beni, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103662-103662
Open Access | Times Cited: 21
Deep artificial intelligence applications for natural disaster management systems: A methodological review
Akhyar Akhyar, Mohd Asyraf Zulkifley, Jaesung Lee, et al.
Ecological Indicators (2024) Vol. 163, pp. 112067-112067
Open Access | Times Cited: 19
Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions
Joshua Green, Ivan D. Haigh, Niall Quinn, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 2, pp. 747-816
Open Access | Times Cited: 4
Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets
Yanbing Bai, Wenqi Wu, Zhengxin Yang, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2220-2220
Open Access | Times Cited: 72
Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation
David F. Muñoz, Peyman Abbaszadeh, Hamed Moftakhari, et al.
Coastal Engineering (2021) Vol. 171, pp. 104057-104057
Closed Access | Times Cited: 70
An exploratory study of Sentinel-1 SAR for rapid urban flood mapping on Google Earth Engine
Md Tazmul Islam, Qingmin Meng
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 113, pp. 103002-103002
Open Access | Times Cited: 67
Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
Ecological Indicators (2022) Vol. 140, pp. 108999-108999
Open Access | Times Cited: 52
Integrating remote sensing and social sensing for flood mapping
Rizwan Sadiq, Zainab Akhtar, Muhammad Imran, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 25, pp. 100697-100697
Open Access | Times Cited: 50
Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting
Peyman Abbaszadeh, David F. Muñoz, Hamed Moftakhari, et al.
iScience (2022) Vol. 25, Iss. 10, pp. 105201-105201
Open Access | Times Cited: 50
Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain
Max Bereczky, Marc Wieland, Christian Krullikowski, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 2023-2036
Open Access | Times Cited: 40
Flood modeling and fluvial dynamics: A scoping review on the role of sediment transport
Hossein Hamidifar, Michael Nones, Paweł M. Rowiński
Earth-Science Reviews (2024) Vol. 253, pp. 104775-104775
Closed Access | Times Cited: 17
Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review
Hai Sun, Xiaowei Zhang, Xuejing Ruan, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 350-350
Open Access | Times Cited: 15
Forecasting of compound ocean-fluvial floods using machine learning
Sogol Moradian, Amir AghaKouchak, Salem Gharbia, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121295-121295
Closed Access | Times Cited: 14
Fast high-fidelity flood inundation map generation by super-resolution techniques
Zeda Yin, Yasaman Saadati, Beichao Hu, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 1, pp. 319-336
Open Access | Times Cited: 11
Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review
Rosa Maria Cavalli
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 446-446
Open Access | Times Cited: 11
Impacts of DEM type and resolution on deep learning-based flood inundation mapping
Mohammad Fereshtehpour, Mostafa Esmaeilzadeh, Reza Saleh Alipour, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1125-1145
Closed Access | Times Cited: 11
Nonlinear Interactions of Sea‐Level Rise and Storm Tide Alter Extreme Coastal Water Levels: How and Why?
Hamed Moftakhari, David F. Muñoz, Ata Akbari Asanjan, et al.
AGU Advances (2024) Vol. 5, Iss. 2
Open Access | Times Cited: 10
Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques
Samuel Daramola, David F. Muñoz, Paúl Muñoz, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access | Times Cited: 1
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