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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:

Computational Machine Learning Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia
Ahmed M. Al‐Areeq, Sani I. Abba, Mohamed A. Yassin, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5515-5515
Open Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

Application of integrated artificial intelligence geographical information system in managing water resources: A review
Michelle Sapitang, Hayana Dullah, Sarmad Dashti Latif, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101236-101236
Closed 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
Stormwater management modeling and machine learning for flash flood susceptibility prediction in Wadi Qows, Saudi Arabia
Fahad Alamoudi, Mohamed Saber, Sameh A. Kantoush, et al.
Hydrological Research Letters (2023) Vol. 17, Iss. 3, pp. 62-68
Open Access | Times Cited: 3
Mapping wetland habitat health in moribund deltaic India using machine learning and deep learning algorithms
Satyajit Paul, Swades Pal
Ecohydrology & Hydrobiology (2024)
Closed Access
Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia
Sani I. Abba, Ahmed M. Al‐Areeq, Mustafa Ghaleb, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 15961-15980
Closed Access
A novel approach to flood risk zonation: integrating deep learning models with APG in the Aji Chay catchment
Ali Abdollahzadeh Bina, Sina Fard Moradinia
AQUA - Water Infrastructure Ecosystems and Society (2024) Vol. 73, Iss. 7, pp. 1333-1357
Open Access
Impact of wetland health and provisioning services on the livelihood of the fishing community
Satyajit Paul, Swades Pal
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 39, pp. 52410-52427
Closed Access
Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping
Ali Nasiri Khiavi, Mehdi Vafakhah
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 52740-52757
Closed Access
Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia
Elias S. Leggesse, Walelign Ayaliew Derseh, Fasikaw A. Zimale, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 9, pp. 2124-2145
Closed Access
On the Application of Machine Learning into Flood Modeling: Data Consideration and Modeling Algorithm
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
Springer water (2024), pp. 167-182
Closed Access
Assessment of Urban Flood Susceptibility and Inundation through Bivariate Statistics with Synthetic Aperture Radar: Insights for Spatial Planning in Pekanbaru City, Indonesia
Eggy Arya Giofandi, Boedi Tjahjono, Latief Mahir Rachman
Research Square (Research Square) (2024)
Closed Access
A hybrid machine learning modelling for optimization of flood susceptibility mapping in the eastern Mediterranean
Hazem Ghassan Abdo, Sahar Mohammed Richi, Saeed Alqadhi, et al.
Natural Hazards (2024)
Closed Access
Flood Prediction by using Artificial Neural Network: A Case Study in Temerloh, Pahang
Ahmad Jazli Abdul Rahman, Nor Azuana Ramli
(2024)
Open Access
On the application of machine learning into flood modeling: data consideration and modeling algorithm
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction
Wassima Moutaouakil, Soufiane Hamida, Bouchaib Cherradi, et al.
(2023), pp. 1-7
Closed Access
Management and Evaluation of Flood Risk Zoning in the Catchment Area with Combined Methods of Maximum Entropy and Apg (Case Study: Aji Chai Catchment Area)
Ali Abdollahzadeh Bina, Sina Fardmoradinia
(2023)
Closed Access
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