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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:

Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries
Abu Reza Md. Towfiqul Islam, Md. Mijanur Rahman Bappi, Saeed Alqadhi, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 1-37
Closed Access | Times Cited: 19

Showing 19 citing articles:

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
Novel optimized deep learning algorithms and explainable artificial intelligence for storm surge susceptibility modeling and management in a flood-prone island
Mohammed J. Alshayeb, Hoang Thi Hang, Ahmed Ali A. Shohan, et al.
Natural Hazards (2024) Vol. 120, Iss. 6, pp. 5099-5128
Closed Access | Times Cited: 8
Flood Susceptibility Mapping: Integrating Machine Learning and GIS for Enhanced Risk Assessment
Zelalem Demissie, Prashant Rimal, Wondwosen M. Seyoum, et al.
Applied Computing and Geosciences (2024) Vol. 23, pp. 100183-100183
Open Access | Times Cited: 8
Comparison of Hydrological Modeling, Artificial Neural Networks and Multi-Criteria Decision Making Approaches for Determining Flood Source Areas
Erfan Mahmoodi, M. Azari, Mohammad Taghi Dastorani, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5343-5363
Closed Access | Times Cited: 5
Flood hazard monitoring and modeling systems for improving climate risk management using machine learning and geospatial models in the Hennops River catchment, Centurion, South Africa
Paidamwoyo Mhangara, Eskinder Gidey, Matilda Mbazo
Discover Sustainability (2025) Vol. 6, Iss. 1
Open Access
PSO-random forest approach to enhance flood-prone area identification: using ground and remote sensing data (case study: Ottawa-Gatineau)
Maedeh Mosalla Tabari, Hamid Ebadi, Zahra Alizadeh Zakaria
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Innovative strategies for pollution assessment in Northern Bangladesh: Mapping pollution areas and tracing metal(loid)s sources in various soil types
Abdullah Al Yeamin, Md Yousuf Mia, Shahidur R. Khan, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0311270-e0311270
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
Predicting flood risks using advanced machine learning algorithms with a focus on Bangladesh: influencing factors, gaps and future challenges
Abu Reza Md. Towfiqul Islam, Md. Jannatul Naeem Jibon, Md. Abubakkor Siddik, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
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
Enhancing spatial resolution of satellite soil moisture data through stacking ensemble learning techniques
Mohammad Sadegh Tahmouresi, Mohammad Hossein Niksokhan, Amir Houshang Ehsani
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Flood susceptibility mapping to improve models of species distributions
Elham Ebrahimi, Miguel B. Araújo, Babak Naimi
Ecological Indicators (2023) Vol. 157, pp. 111250-111250
Open Access | Times Cited: 8
Integrated evaluation and attribution of urban flood risk mitigation capacity: A case of Zhengzhou, China
Kaixuan Dai, Shi Shen, Changxiu Cheng, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101567-101567
Open Access | Times Cited: 5
Flood susceptibility mapping using ANNs: a case study in model generalization and accuracy from Ontario, Canada
Rahma Khalid, Usman T. Khan
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1
Analysis of the utilization of machine learning to map flood susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
(2024)
Closed Access | Times Cited: 1
Enhancing real-time flood forecasting and warning system by integrating ensemble techniques and hydrologic model simulations
Anant Patel, S. M. Yadav, Ramesh S. V. Teegavarapu
Journal of Water and Climate Change (2024) Vol. 15, Iss. 9, pp. 4307-4327
Closed Access
Assessment of Flash Flood Risk Using Random Forest Regression Model Integrated with Binary Statistics
Xiuqin Fang, Meiyu Liao, Lulu Yang, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 3952-3955
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.
Research Square (Research Square) (2024)
Closed Access
Ensemble Learning for Urban Flood Segmentation Through the Fusion of Multi-Spectral Satellite Data with Water Spectral Indices Using Row-Wise Cross Attention
Han Xu, Alan Woodley
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 90-90
Open Access
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