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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:

Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Yuting Li, Haoyuan Hong
Journal of Environmental Management (2022) Vol. 325, pp. 116450-116450
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
Nur Islam Saikh, Prolay Mondal
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 420-436
Open Access | Times Cited: 45
Refined and dynamic susceptibility assessment of landslides using InSAR and machine learning models
Yingdong Wei, Haijun Qiu, Zijing Liu, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 6, pp. 101890-101890
Open Access | Times Cited: 37
Flood susceptibility assessment of the Agartala Urban Watershed, India, using Machine Learning Algorithm
Jatan Debnath, Jimmi Debbarma, Amal Debnath, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 16
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: 15
Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model
Haoyuan Hong
Ecological Indicators (2023) Vol. 147, pp. 109968-109968
Open Access | Times Cited: 37
Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony
Konstantinos Plataridis, Zisis Mallios
Journal of Hydrology (2023) Vol. 624, pp. 129961-129961
Closed Access | Times Cited: 26
Ensemble Multifeatured Deep Learning Models and Applications: A Survey
Satheesh Abimannan, El-Sayed M. El-Alfy, Yue‐Shan Chang, et al.
IEEE Access (2023) Vol. 11, pp. 107194-107217
Open Access | Times Cited: 24
Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning
Romulus Costache, Subodh Chandra Pal, Chaitanya B. Pande, et al.
Applied Water Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 9
Improving Long-Term Flood Forecasting Accuracy Using Ensemble Deep Learning Models and an Attention Mechanism
Marjan Kordani, Mohammad Reza Nikoo, Mahmood Fooladi, et al.
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 6
Closed Access | Times Cited: 9
Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms
Abu Reza Md. Towfiqul Islam, Md. Uzzal Mia, Nílson Augusto Villa Nova, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
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
Advanced modeling for flash flood susceptibility mapping using remote sensing and GIS techniques: a case study in Northeast Algeria
Ayman Mansour, Dounia Mrad, Yassine Djebbar
Environmental Earth Sciences (2024) Vol. 83, Iss. 2
Closed Access | Times Cited: 7
Enhancing transparency in data-driven urban pluvial flood prediction using an explainable CNN model
Weizhi Gao, Yaoxing Liao, Yuhong Chen, et al.
Journal of Hydrology (2024), pp. 132228-132228
Closed Access | Times Cited: 6
Flood risk assessment using machine learning, hydrodynamic modelling, and the analytic hierarchy process
Nguyen Huu Duy, Le T. Pham, Nguyen Xuan Linh, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 1852-1882
Open Access | Times Cited: 5
Streamflow prediction using machine learning models in selected rivers of Southern India
Rajat Kr Sharma, Sudhanshu Kumar, D. Padmalal, et al.
International Journal of River Basin Management (2023) Vol. 22, Iss. 4, pp. 529-555
Closed Access | Times Cited: 14
Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
Haoyuan Hong
Expert Systems with Applications (2023) Vol. 237, pp. 121678-121678
Closed Access | Times Cited: 13
Artificial Intelligence Algorithms in Flood Prediction: A General Overview
Manish Pandey
Springer eBooks (2024), pp. 243-296
Closed Access | Times Cited: 5
Identifying the Source of Water on Plant Using the Leaf Wetness Sensor and via Deep Learning-Based Ensemble Method
Riya Saini, Pooja Garg, Naveen Chaudhary, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 7009-7017
Closed Access | Times Cited: 4
Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan
Mohanned S. Al-Sheriadeh, Mohammad A. Daqdouq
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
A novel flood conditioning factor based on topography for flood susceptibility modeling
Jun Liu, Xueqiang Zhao, Yangbo Chen, et al.
Geoscience Frontiers (2024) Vol. 16, Iss. 1, pp. 101960-101960
Open Access | Times Cited: 4
Optimizing nature-based solutions for urban flood risk mitigation: A multi-objective genetic algorithm approach in Gdańsk, Poland
Anahita Azadgar, Artur Gańcza, Sina Razzaghi Asl, et al.
The Science of The Total Environment (2025) Vol. 963, pp. 178303-178303
Open Access
Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data
Gen Long, Sarintip Tantanee, Korakod Nusit, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Improved flood risk assessment using multi-model ensemble machine-learning techniques in a tropical river basin of Southern India
A.L. Achu, C. D. Aju, M. C. Raicy, et al.
Physical Geography (2025), pp. 1-29
Closed Access
Enhancing flash flood susceptibility modeling in arid regions: integrating digital soil mapping and machine learning algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 6
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
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