OpenAlex Citation Counts

OpenAlex Citations Logo

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 analysis through remote sensing, GIS and frequency ratio model
Sailesh Samanta, Dilip Kumar Pal, Babita Palsamanta
Applied Water Science (2018) Vol. 8, Iss. 2
Open Access | Times Cited: 250

Showing 1-25 of 250 citing articles:

A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
Alireza Arabameri, Khalil Rezaei, Artemi Cerdà, et al.
The Science of The Total Environment (2019) Vol. 660, pp. 443-458
Closed Access | Times Cited: 254

Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process
Matej Vojtek, Jana Vojteková
Water (2019) Vol. 11, Iss. 2, pp. 364-364
Open Access | Times Cited: 253

Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis
Mahfuzur Rahman, Chen Ningsheng, Md Monirul Islam, et al.
Earth Systems and Environment (2019) Vol. 3, Iss. 3, pp. 585-601
Closed Access | Times Cited: 229

Flood hazard mapping methods: A review
Rofiat Bunmi Mudashiru, Nuridah Sabtu, Ismail Abustan, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126846-126846
Closed Access | Times Cited: 220

Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty
Advances in Space Research (2019) Vol. 65, Iss. 5, pp. 1466-1489
Closed Access | Times Cited: 209

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
Quang‐Thanh Bui, Quoc‐Huy Nguyen, Xuan Linh Nguyen, et al.
Journal of Hydrology (2019) Vol. 581, pp. 124379-124379
Closed Access | Times Cited: 190

Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
Aman Arora, Alireza Arabameri, Manish Pandey, et al.
The Science of The Total Environment (2020) Vol. 750, pp. 141565-141565
Open Access | Times Cited: 176

Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India
Sk Ajim Ali, Rumana Khatun, Ateeque Ahmad, et al.
Modeling Earth Systems and Environment (2019) Vol. 5, Iss. 3, pp. 1083-1102
Closed Access | Times Cited: 158

Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model
Biswajeet Pradhan, Saro Lee, Abhirup Dikshit, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101625-101625
Open Access | Times Cited: 93

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: 75

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India
Rajib Mitra, Jayanta Das
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 6, pp. 16036-16067
Closed Access | Times Cited: 73

Flash Flood Susceptibility Assessment and Zonation by Integrating Analytic Hierarchy Process and Frequency Ratio Model with Diverse Spatial Data
Aqil Tariq, Jianguo Yan, Bushra Ghaffar, et al.
Water (2022) Vol. 14, Iss. 19, pp. 3069-3069
Open Access | Times Cited: 69

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 contributes to disaster risk reduction: A case study in Sindh, Pakistan
Shoukat Ali Shah, Songtao Ai
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104503-104503
Open Access | Times Cited: 21

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

A GIS-Based Flood Risk Assessment Using the Decision-Making Trial and Evaluation Laboratory Approach at a Regional Scale
Eirini Efraimidou, Mike Spiliotis
Environmental Processes (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 17

Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model
Rami Al‐Ruzouq, Abdallah Shanableh, Ratiranjan Jena, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 3, pp. 101780-101780
Open Access | Times Cited: 15

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

Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon’s entropy models
Aman Arora, Manish Pandey, Masood Ahsan Siddiqui, et al.
Geocarto International (2019) Vol. 36, Iss. 18, pp. 2085-2116
Closed Access | Times Cited: 141

Exploring effectiveness of frequency ratio and support vector machine models in storm surge flood susceptibility assessment: A study of Sundarban Biosphere Reserve, India
Mehebub Sahana, Sufia Rehman, Haroon Sajjad, et al.
CATENA (2020) Vol. 189, pp. 104450-104450
Closed Access | Times Cited: 131

Flood susceptibility modeling and hazard perception in Rwanda
Richard Mind’je, Lanhai Li, Amobichukwu Chukwudi Amanambu, et al.
International Journal of Disaster Risk Reduction (2019) Vol. 38, pp. 101211-101211
Closed Access | Times Cited: 114

Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7462-7487
Open Access | Times Cited: 97

Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt
Bosy A. El‐Haddad, Ahmed M. Youssef, Hamid Reza Pourghasemi, et al.
Natural Hazards (2020) Vol. 105, Iss. 1, pp. 83-114
Open Access | Times Cited: 92

Page 1 - Next Page

Scroll to top