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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 risk assessment in the Kosi megafan using multi-criteria decision analysis: A hydro-geomorphic approach
Kanchan Mishra, Rajiv Sinha
Geomorphology (2019) Vol. 350, pp. 106861-106861
Closed Access | Times Cited: 183

Showing 1-25 of 183 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: 419
Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP)
Sumit Das
Remote Sensing Applications Society and Environment (2020) Vol. 20, pp. 100379-100379
Closed Access | Times Cited: 151
Assessment of long and short-term flood risk using the multi-criteria analysis model with the AHP-Entropy method in Poyang Lake basin
Jinru Wu, Xiaoling Chen, Jianzhong Lu
International Journal of Disaster Risk Reduction (2022) Vol. 75, pp. 102968-102968
Closed Access | Times Cited: 123
Urban waterlogging risk as an undervalued environmental challenge: An Integrated MCDA-GIS based modeling approach
Subham Roy, Arghadeep Bose, Nimai Singha, et al.
Environmental Challenges (2021) Vol. 4, pp. 100194-100194
Open Access | Times Cited: 121
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 99
Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
Subbarayan Saravanan, Devanantham Abijith, Nagireddy Masthan Reddy, et al.
Urban Climate (2023) Vol. 49, pp. 101503-101503
Closed Access | Times Cited: 57
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: 17
Decadal evolution of GIS in disaster management and risk assessment
Yusuf Eminoğlu, Çiğdem Tarhan
International Journal of Engineering and Geosciences (2025) Vol. 10, Iss. 2, pp. 173-196
Open Access | Times Cited: 1
A review of flood risk assessment frameworks and the development of hierarchical structures for risk components
Nazgol Tabasi, Mohammad Fereshtehpour, Bardia Roghani
Discover Water (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1
Social Vulnerability Assessment for Flood Risk Analysis
Laura Tascón-González, Montserrat Ferrer‐Julià, Maurici Ruíz, et al.
Water (2020) Vol. 12, Iss. 2, pp. 558-558
Open Access | Times Cited: 99
An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events
Mohammad Fikry Abdullah, Sajid Siraj, Richard Hodgett
Water (2021) Vol. 13, Iss. 10, pp. 1358-1358
Open Access | Times Cited: 95
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
Shruti Sachdeva, Bijendra Kumar
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 2, pp. 287-306
Open Access | Times Cited: 80
Flood risk assessment using geospatial data and multi-criteria decision approach: a study from historically active flood-prone region of Himalayan foothill, India
Subham Roy, Arghadeep Bose, Indrajit Roy Chowdhury
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 11
Closed Access | Times Cited: 79
Mapping and assessment of flood risk in Prayagraj district, India: a GIS and remote sensing study
Amit Kumar Saha, Sonam Agrawal
Nanotechnology for Environmental Engineering (2020) Vol. 5, Iss. 2
Closed Access | Times Cited: 71
A novel flood risk mapping approach with machine learning considering geomorphic and socio-economic vulnerability dimensions
Prakhar Deroliya, Mousumi Ghosh, Mohit Prakash Mohanty, et al.
The Science of The Total Environment (2022) Vol. 851, pp. 158002-158002
Closed Access | Times Cited: 65
Application of entropy weighting method for urban flood hazard mapping
Hossein Malekinezhad, Mehdi Sepehri, Quoc Bao Pham, et al.
Acta Geophysica (2021) Vol. 69, Iss. 3, pp. 841-854
Closed Access | Times Cited: 63
Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin
Supriya Ghosh, Soumik Saha, Biswajit Bera
Natural Hazards Research (2022) Vol. 2, Iss. 4, pp. 363-374
Open Access | Times Cited: 62
A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level
Laxmi Gupta, Jagabandhu Dixit
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11867-11899
Open Access | Times Cited: 51
Flood Hazard and Risk Zonation in North Bihar Using Satellite-Derived Historical Flood Events and Socio-Economic Data
Gaurav Tripathi, Arvind Chandra Pandey, Bikash Ranjan Parida
Sustainability (2022) Vol. 14, Iss. 3, pp. 1472-1472
Open Access | Times Cited: 39
Micro‐spatial flood risk assessment in Nagaon district, Assam (India) using GIS‐based multi‐criteria decision analysis (MCDA) and analytical hierarchy process (AHP)
Manash Jyoti Bhuyan, Nityananda Deka, Ashish Saikia
Risk Analysis (2023) Vol. 44, Iss. 4, pp. 817-832
Closed Access | Times Cited: 22
A novel approach to flood risk assessment: Synergizing with geospatial based MCDM-AHP model, multicollinearity, and sensitivity analysis in the Lower Brahmaputra Floodplain, Assam
Pranab Dutta, Sujit Deka
Journal of Cleaner Production (2024) Vol. 467, pp. 142985-142985
Closed Access | Times Cited: 13
Efficiency evaluation of low impact development practices on urban flood risk
Sara Ayoubi Ayoublu, Mehdi Vafakhah, Hamid Reza Pourghasemi
Journal of Environmental Management (2024) Vol. 356, pp. 120467-120467
Closed Access | Times Cited: 11
Impacts of DEM type and resolution on deep learning-based flood inundation mapping
Mohammad Fereshtehpour, Mostafa Esmaeilzadeh, Reza Saleh Alipour, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1125-1145
Closed Access | Times Cited: 7
Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria
Abdulwaheed Tella, Abdul‐Lateef Balogun
Natural Hazards (2020) Vol. 104, Iss. 3, pp. 2277-2306
Closed Access | Times Cited: 57
Impact evaluation of geomorphic changes caused by extreme floods on inundation area considering geomorphic variations and land use types
Zongkun Li, Yadong Zhang, Jianyou Wang, et al.
The Science of The Total Environment (2020) Vol. 754, pp. 142424-142424
Closed Access | Times Cited: 56
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