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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.

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Showing 1-25 of 111 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 427
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
An Overview of Flood Concepts, Challenges, and Future Directions
Ashok K. Mishra, Sourav Mukherjee, Bruno Merz, et al.
Journal of Hydrologic Engineering (2022) Vol. 27, Iss. 6
Closed Access | Times Cited: 96
Flood susceptible prediction through the use of geospatial variables and machine learning methods
Navid Mahdizadeh Gharakhanlou, Liliana Pérez
Journal of Hydrology (2023) Vol. 617, pp. 129121-129121
Closed Access | Times Cited: 54
Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran
Maryam Jahanbani, Mohammad H. Vahidnia, Hossein Aghamohammadi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1433-1457
Closed Access | Times Cited: 18
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 125
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2478-2478
Open Access | Times Cited: 121
A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil
Binh Thai Pham, Chongchong Qi, Lanh Si Ho, et al.
Sustainability (2020) Vol. 12, Iss. 6, pp. 2218-2218
Open Access | Times Cited: 109
Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete
Dong Van Dao, Haï-Bang Ly, Huong-Lan Thi Vu, et al.
Materials (2020) Vol. 13, Iss. 5, pp. 1072-1072
Open Access | Times Cited: 88
GIS-based spatial modeling of snow avalanches using four novel ensemble models
Peyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, et al.
The Science of The Total Environment (2020) Vol. 745, pp. 141008-141008
Closed Access | Times Cited: 78
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
Ehsan Kamali Maskooni, Seyed Amir Naghibi, Hossein Hashemi, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2742-2742
Open Access | Times Cited: 78
Damming effect on habitat quality of riparian corridor
Swades Pal, Swapan Talukdar, Ripan Ghosh
Ecological Indicators (2020) Vol. 114, pp. 106300-106300
Open Access | Times Cited: 71
Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models
Susanta Mahato, Swades Pal, Swapan Talukdar, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101175-101175
Open Access | Times Cited: 68
Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data
Gerasimos Antzoulatos, Ioannis-Omiros Kouloglou, Marios Bakratsas, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3251-3251
Open Access | Times Cited: 63
Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques
Subbarayan Saravanan, Devanantham Abijith
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15252-15281
Closed Access | Times Cited: 46
Flash Flood Hazard Mapping Using Remote Sensing and GIS Techniques in Southwestern Saudi Arabia
Saad S. Alarifi, Mohamed Abdelkareem, Fathy Abdalla, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14145-14145
Open Access | Times Cited: 46
Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127877-127877
Closed Access | Times Cited: 45
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4050-4050
Open Access | Times Cited: 44
A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment
A. Habibi, M. R. Delavar, Mohammad Sadegh Sadeghian, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103401-103401
Open Access | Times Cited: 43
Fusion of Remote Sensing Data Using GIS-Based AHP-Weighted Overlay Techniques for Groundwater Sustainability in Arid Regions
Mohamed Abdekareem, Nassir Al‐Arifi, Fathy Abdalla, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 7871-7871
Open Access | Times Cited: 40
A novel approach for assessing flood risk with machine learning and multi-criteria decision-making methods
Sharareh Rashidi Shikhteymour, Moslem Borji, Mehdi Bagheri‐Gavkosh, et al.
Applied Geography (2023) Vol. 158, pp. 103035-103035
Closed Access | Times Cited: 29
Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools
Kwesi Twum Antwi-Agyakwa, Mawuli Afenyo, Donatus Bapentire Angnuureng
Water (2023) Vol. 15, Iss. 3, pp. 427-427
Open Access | Times Cited: 25
Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model
Rami Al‐Ruzouq, Abdallah Shanableh, Ratiranjan Jena, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 3, pp. 101780-101780
Open Access | Times Cited: 17
Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen
Ali R. Al-Aizari, Hassan Alzahrani, Omar F. Althuwaynee, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 336-336
Open Access | Times Cited: 16
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
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