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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 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: 44

Showing 1-25 of 44 citing articles:

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: 52
Investigating the Role of the Key Conditioning Factors in Flood Susceptibility Mapping Through Machine Learning Approaches
Khalifa M. Al‐Kindi, Zahra Alabri
Earth Systems and Environment (2024) Vol. 8, Iss. 1, pp. 63-81
Open Access | Times Cited: 15
Flood susceptibility mapping using AutoML and a deep learning framework with evolutionary algorithms for hyperparameter optimization
Amala Mary Vincent, Parthasarathy Kulithalai Shiyam Sundar, P. Jidesh
Applied Soft Computing (2023) Vol. 148, pp. 110846-110846
Closed Access | Times Cited: 21
Flood Susceptibility Mapping: Integrating Machine Learning and GIS for Enhanced Risk Assessment
Zelalem Demissie, Prashant Rimal, Wondwosen M. Seyoum, et al.
Applied Computing and Geosciences (2024) Vol. 23, pp. 100183-100183
Open Access | Times Cited: 8
Multi-hazards (landslides, floods, and gully erosion) modeling and mapping using machine learning algorithms
Ahmed M. Youssef, Ali M. Mahdi, Mohamed M. Al-Katheri, et al.
Journal of African Earth Sciences (2022) Vol. 197, pp. 104788-104788
Closed Access | Times Cited: 27
Identification of the key driving factors of flash flood based on different feature selection techniques coupled with random forest method
Xiaoyu Tan, Yuxin Li, Xiaoguo Wu, et al.
Journal of Hydrology Regional Studies (2023) Vol. 51, pp. 101624-101624
Open Access | Times Cited: 20
Artificial Intelligence Algorithms in Flood Prediction: A General Overview
Manish Pandey
Springer eBooks (2024), pp. 243-296
Closed Access | Times Cited: 5
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
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
Evaluation of bivariate statistical and hybrid models for the preparation of flood hazard susceptibility maps in the Brahmani River Basin, India
Aditya Kumar Anand, Sarada Prasad Pradhan
Environmental Earth Sciences (2023) Vol. 82, Iss. 16
Closed Access | Times Cited: 14
Spatial Mapping of Flood Susceptibility Using Decision Tree–Based Machine Learning Models for the Vembanad Lake System in Kerala, India
Parthasarathy Kulithalai Shiyam Sundar, Subrahmanya Kundapura
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 14
Mapping and Monitoring of Land Use/Land Cover Transformation Using Geospatial Techniques in Varanasi City Development Region, India
Atul K. Tiwari, Anindita Pal, Rolee Kanchan
Nature Environment and Pollution Technology (2024) Vol. 23, Iss. 1, pp. 365-379
Open Access | Times Cited: 4
Evaluation of urban flood susceptibility through integrated Bivariate statistics and Geospatial technology
Kalidhas Muthu, R. Sivakumar
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Closed Access | Times Cited: 4
Flood risk assessment using machine learning, hydrodynamic modelling, and the analytic hierarchy process
Nguyen Huu Duy, Le T. Pham, Nguyen Xuan Linh, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 1852-1882
Open Access | Times Cited: 4
Evaluating landslide susceptibility: the impact of resolution and hybrid integration approaches
Xia Zhao, Wei Chen, Paraskevas Tsangaratos, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Kolkata’s green oasis: a comprehensive analysis of urban green spaces for ecosystem sustainability
P. K. Biswas, Amit Kumar, Manjari Upreti, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Wildfire-derived Deforestation, Climate, and Biodiversity Variables Analysis in Cambodia
Bijay Halder, Biswarup Rana, Liew Juneng, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103894-103894
Closed Access
Google Earth Engine (GEE) technology for determining priorities for disaster Safe Education Units (SPAB) in Sukoharjo, Indonesia
Adityo Wicaksono, Yunus Aris Wibowo
IOP Conference Series Earth and Environmental Science (2025) Vol. 1462, Iss. 1, pp. 012058-012058
Open Access
Flood susceptibility mapping in Indian Sundarban delta using multivariate statistics and machine learning algorithms in GIS
Souvik Kundu, Tarun Kumar Mondal
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Comparative assessment of groundwater vulnerability using GIS-based DRASTIC and DRASTIC-AHP for Thoothukudi District, Tamil Nadu India
Subbarayan Saravanan, S. Pitchaikani, M. Thambiraja, et al.
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Closed Access | Times Cited: 19
Multi-Criterion Analysis of Cyclone Risk along the Coast of Tamil Nadu, India—A Geospatial Approach
Subbarayan Saravanan, Devanantham Abijith, Parthasarathy Kulithalai Shiyam Sundar, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 8, pp. 341-341
Open Access | Times Cited: 10
Predicting phosphorus and nitrate loads by using SWAT model in Vamanapuram River Basin, Kerala, India
Subbarayan Saravanan, Leelambar Singh, S. Sathiyamurthi, et al.
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Closed Access | Times Cited: 17
Coastal vulnerability assessment for the coast of Tamil Nadu, India—a geospatial approach
Devanantham Abijith, Subbarayan Saravanan, Parthasarathy Kulithalai Shiyam Sundar
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 30, pp. 75610-75628
Open Access | Times Cited: 9
Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Quang‐Thanh Bui, et al.
Transactions in GIS (2023) Vol. 27, Iss. 5, pp. 1614-1640
Closed Access | Times Cited: 9
Flood susceptibility assessment and mapping in a monsoon-dominated tropical river basin using GIS-based data-driven bivariate and multivariate statistical models and their ensemble techniques
Biman Ghosh
Environmental Earth Sciences (2022) Vol. 82, Iss. 1
Closed Access | Times Cited: 12
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