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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 hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors
Rashed Uz Zzaman, Sara Nowreen, Maruf Billah, et al.
Journal of Flood Risk Management (2021) Vol. 14, Iss. 3
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

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
Potential flood-prone area identification and mapping using GIS-based multi-criteria decision-making and analytical hierarchy process in Dega Damot district, northwestern Ethiopia
Ajanaw Negese, Dessalegn Worku, Alazar Shitaye, et al.
Applied Water Science (2022) Vol. 12, Iss. 12
Open Access | Times Cited: 53
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 flood susceptibility prediction based on a resampling method using machine learning
Septianto Aldiansyah, Farida Wardani
Journal of Water and Climate Change (2023) Vol. 14, Iss. 3, pp. 937-961
Open Access | Times Cited: 23
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
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
Assessment of flood susceptibility in Cachar district of Assam, India using GIS-based multi-criteria decision-making and analytical hierarchy process
Preeti Barsha Borah, Arpana Handique, Chandra Kumar Dutta, et al.
Natural Hazards (2025)
Closed Access | Times Cited: 1
Monitoring and modeling vulnerability of land use changes in the current flood hazard conditions using novel hybrid GIS-based approaches and remote sensing data
Shadman Darvishi
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed 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
Landslide vulnerability mapping using multi-criteria decision-making approaches: in Gacho Babba District, Gamo Highlands Southern Ethiopia
Lemma Tadesse, Abera Uncha Utallo, Thomas Toma Tora
Deleted Journal (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 8
Spatial congruency or discrepancy? Exploring the spatiotemporal dynamics of built-up expansion patterns and flood risk
Mahmoud Mabrouk, Haoying Han, Karim I. Abdrabo, et al.
The Science of The Total Environment (2024) Vol. 915, pp. 170019-170019
Closed Access | Times Cited: 7
Assessing multi-climate-hazard threat in the coastal region of Bangladesh by combining influential environmental and anthropogenic factors
Sanzida Murshed, Amy L. Griffin, Md. Ashraful Islam, et al.
Progress in Disaster Science (2022) Vol. 16, pp. 100261-100261
Open Access | Times Cited: 24
Geospatial analysis of flood risk hazard in Zambezi Region, Namibia
Zachariah Haruna Mshelia, Yong Sebastian Nyam, Deolfa Josè Moisès, et al.
Environmental Challenges (2024) Vol. 15, pp. 100915-100915
Open Access | Times Cited: 5
Assessment of machine learning algorithms and new hybrid multi-criteria analysis for flood hazard and mapping
Karim Solaimani, Shadman Darvishi, Fatemeh Shokrian
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32950-32971
Closed Access | Times Cited: 5
Assessment of spatial cyclone surge susceptibility through GIS-based AHP multi-criteria analysis and frequency ratio: a case study from the Bangladesh coast
Abdullah Al Mamun, Li Zhang, Bowei Chen, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
A machine learning-based approach for flash flood susceptibility mapping considering rainfall extremes in the northeast region of Bangladesh
Md. Enayet Chowdhury, A. K. M. Saiful Islam, Rashed Uz Zzaman, et al.
Advances in Space Research (2024)
Closed Access | Times Cited: 5
Evaluating urban flood hazard index (UFHI) of Dehradun city using GIS and multi-criteria decision analysis
Neha Bansal, Mahua Mukherjee, Ajay Gairola
Modeling Earth Systems and Environment (2022) Vol. 8, Iss. 3, pp. 4051-4064
Closed Access | Times Cited: 22
Pluvial flood susceptibility mapping for data-scarce urban areas using graph attention network and basic flood conditioning factors
Ze Wang, Heng Lyu, Chi Zhang
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 12
Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors
A. Novo, Hurem Dutal, Saeedeh Eskandari
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 2, pp. 655-679
Closed Access | Times Cited: 4
Application of GIS-Based Multi-Criteria Decision Analysis of Hydro-Geomorphological Factors for Flash Flood Susceptibility Mapping in Bangladesh
Raihan Riaz, Md. Mohiuddin
Water Cycle (2024)
Open Access | Times Cited: 4
Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, et al.
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1247-1283
Closed Access | Times Cited: 19
GIS-based multi-criteria decision analysis for mapping flood-prone areas in Dehradun city, India
Neha Bansal, Mahua Mukherjee, Ajay Gairola
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 9
Closed Access | Times Cited: 10
Assessing the impact of climate and land use change on flood vulnerability: a machine learning approach in coastal region of Tamil Nadu, India
Devanantham Abijith, Subbarayan Saravanan, Parthasarathy Kulithalai Shiyam Sundar, et al.
Geoscience Letters (2025) Vol. 12, Iss. 1
Open Access
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access
Mapping flood resilience: a comprehensive geospatial insight into regional vulnerabilities
Tauheed Ullah Khan, Ghulam Nabi, Sana Ullah, et al.
Frontiers in Water (2025) Vol. 7
Open Access
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