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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:

Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud
Kishore Chandra Swain, Chiranjit Singha, L. K. Nayak
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 12, pp. 720-720
Open Access | Times Cited: 175

Showing 1-25 of 175 citing articles:

Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations
Halit Enes Aydin, Muzaffer Can İban
Natural Hazards (2022) Vol. 116, Iss. 3, pp. 2957-2991
Closed Access | Times Cited: 89
Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Soroosh Mehravar, Seyed Vahid Razavi-Termeh, Armin Moghimi, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129100-129100
Open Access | Times Cited: 78
Integration of HEC-RAS and HEC-HMS with GIS in Flood Modeling and Flood Hazard Mapping
İsmail Bilal Peker, Sezar Gülbaz, Vahdettin Demir, et al.
Sustainability (2024) Vol. 16, Iss. 3, pp. 1226-1226
Open Access | Times Cited: 41
A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
Tania Islam, Ethiopia Bisrat Zeleke, Mahmud Afroz, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 524-524
Open Access | Times Cited: 2
Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh
Mahfuzur Rahman, Ningsheng Chen, Ahmed Elbeltagi, et al.
Journal of Environmental Management (2021) Vol. 295, pp. 113086-113086
Closed Access | Times Cited: 88
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 vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models
Chandini P. C. Senan, R. S. Ajin, Jean Homian Danumah, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 2, pp. 527-556
Open Access | Times Cited: 47
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
Evaluation of the prediction capability of AHP and F-AHP methods in flood susceptibility mapping of Ernakulam district (India)
Reshma T. Vilasan, Vijay Kapse
Natural Hazards (2022) Vol. 112, Iss. 2, pp. 1767-1793
Open Access | Times Cited: 44
Identifying flood vulnerable and risk areas using the integration of analytical hierarchy process (AHP), GIS, and remote sensing: A case study of southern Oromia region
Dawit Girma Burayu, Shankar Karuppannan, Gemachu Shuniye
Urban Climate (2023) Vol. 51, pp. 101640-101640
Closed Access | Times Cited: 24
Mapping groundwater potential zone in the subarnarekha basin, India, using a novel hybrid multi-criteria approach in Google earth Engine
Chiranjit Singha, Kishore Chandra Swain, Biswajeet Pradhan, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24308-e24308
Open Access | Times Cited: 15
Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment
Chiranjit Singha, Vikas Kumar Rana, Quoc Bao Pham, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 35, pp. 48497-48522
Open Access | Times Cited: 12
Integrated GIS and analytic hierarchy process for flood risk assessment in the Dades Wadi watershed (Central High Atlas, Morocco)
Asmae Aichi, Mustapha Ikirri, Mohamed Ait Haddou, et al.
Results in Earth Sciences (2024) Vol. 2, pp. 100019-100019
Open Access | Times Cited: 11
GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh
Zarjes Kader, Md Rabiul Islam, Md. Tareq Aziz, et al.
Sustainable Water Resources Management (2024) Vol. 10, Iss. 5
Closed Access | Times Cited: 10
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: 9
Flood susceptibility modelling of the Teesta River Basin through the AHP-MCDA process using GIS and remote sensing
M. Hossain, Umme Habiba Mumu
Natural Hazards (2024)
Closed Access | Times Cited: 9
Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais
Fernanda Oliveira de Sousa, Victor Andre Ariza Flores, Christhian Santana Cunha, et al.
Infrastructures (2025) Vol. 10, Iss. 1, pp. 12-12
Open Access | Times Cited: 1
GIS-based AHP approach to flood susceptibility assessment in Tangail district, Bangladesh
Rifat Sharker, Md Rabiul Islam, Md. Biplob Hosen, et al.
Journal of Earth System Science (2025) Vol. 134, Iss. 1
Closed Access | Times Cited: 1
Flood Susceptibility Analysis with Integrated Geographic Information System and Analytical Hierarchy Process: A Multi-Criteria Framework for Risk Assessment and Mitigation
Sujan Shrestha, Devendra Dahal, Bishal Poudel, et al.
Water (2025) Vol. 17, Iss. 7, pp. 937-937
Open Access | Times Cited: 1
GIS-based frequency ratio and Shannon's entropy techniques for flood vulnerability assessment in Patna district, Central Bihar, India
Debabrata Sarkar, Sunil Saha, Prolay Mondal
International Journal of Environmental Science and Technology (2021) Vol. 19, Iss. 9, pp. 8911-8932
Closed Access | Times Cited: 50
Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods
Shruti Sachdeva, Bijendra Kumar
Ecological Informatics (2021) Vol. 67, pp. 101498-101498
Closed Access | Times Cited: 45
Spatial Analysis of Flood Hazard Zoning Map Using Novel Hybrid Machine Learning Technique in Assam, India
Chiranjit Singha, Kishore Chandra Swain, Modeste Meliho, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6229-6229
Open Access | Times Cited: 35
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
Huu Duy Nguyen
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2369-2386
Closed Access | Times Cited: 29
Geospatial-Based Analytical Hierarchy Process (AHP) and Weighted Product Model (WPM) Techniques for Mapping and Assessing Flood Susceptibility in the Wadi Hanifah Drainage Basin, Riyadh Region, Saudi Arabia
Abdulrahman Mubarark AlAli, Abdelrahim Salih, Abdalhaleem A. Hassaballa
Water (2023) Vol. 15, Iss. 10, pp. 1943-1943
Open Access | Times Cited: 23
A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Türkiye
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 2, pp. 326-341
Open Access | Times Cited: 22
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