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 using support vector regression and hyper‐parameter optimization
Aryan Salvati, Alireza Moghaddam Nia, Ali Salajegheh, et al.
Journal of Flood Risk Management (2023) Vol. 16, Iss. 4
Open Access | Times Cited: 33
Aryan Salvati, Alireza Moghaddam Nia, Ali Salajegheh, et al.
Journal of Flood Risk Management (2023) Vol. 16, Iss. 4
Open Access | Times Cited: 33
Showing 1-25 of 33 citing articles:
Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial techniques
Jatan Debnath, Dhrubojyoti Sahariah, Nityaranjan Nath, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2393-2419
Open Access | Times Cited: 24
Jatan Debnath, Dhrubojyoti Sahariah, Nityaranjan Nath, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2393-2419
Open Access | Times Cited: 24
A comparative spatial analysis of flood susceptibility mapping using boosting machine learning algorithms in Rathnapura, Sri Lanka
Kumudu Madhawa Kurugama, So Kazama, Yusuke Hiraga, et al.
Journal of Flood Risk Management (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 9
Kumudu Madhawa Kurugama, So Kazama, Yusuke Hiraga, et al.
Journal of Flood Risk Management (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 9
Enhancing Flood Susceptibility Modeling: a Hybrid Deep Neural Network with Statistical Learning Algorithms for Predicting Flood Prone Areas
Motrza Ghobadi, Masumeh Ahmadipari
Water Resources Management (2024) Vol. 38, Iss. 8, pp. 2687-2710
Open Access | Times Cited: 9
Motrza Ghobadi, Masumeh Ahmadipari
Water Resources Management (2024) Vol. 38, Iss. 8, pp. 2687-2710
Open Access | Times Cited: 9
Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124238-124238
Closed Access | Times Cited: 1
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124238-124238
Closed Access | Times Cited: 1
Application of frequency ratio model for flood hazard zonation in the Dikhow River basin, Northeast India
Anannya Panging, Srinivasa Rao Koduru, A. Simhachalam, et al.
Natural Hazards (2025)
Closed Access
Anannya Panging, Srinivasa Rao Koduru, A. Simhachalam, et al.
Natural Hazards (2025)
Closed Access
Future flood susceptibility mapping under climate and land use change
Hamidreza Khodaei, Farzin Nasiri Saleh, Afsaneh Nobakht Dalir, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hamidreza Khodaei, Farzin Nasiri Saleh, Afsaneh Nobakht Dalir, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Beyond boundaries: AI-optimized global landslide susceptibility mapping
Mahdi Panahi, Fatemeh Rezaie, Khabat Khosravi, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Mahdi Panahi, Fatemeh Rezaie, Khabat Khosravi, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran
Reza Bahramloo, Jun Wang, Mehdi Sepehri, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 12, pp. 4863-4881
Closed Access | Times Cited: 3
Reza Bahramloo, Jun Wang, Mehdi Sepehri, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 12, pp. 4863-4881
Closed Access | Times Cited: 3
Could climate change exacerbate droughts in Bangladesh in the future?
Mahfuzur Rahman, Md Sakib Hasan Tumon, Md Monirul Islam, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130096-130096
Closed Access | Times Cited: 7
Mahfuzur Rahman, Md Sakib Hasan Tumon, Md Monirul Islam, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130096-130096
Closed Access | Times Cited: 7
Modeling Flood Susceptible Areas Using Deep Learning Techniques with Random Subspace: A Case Study of the Mae Chan Basin in Thailand
Surachai Chantee, Theeraya Mayakul
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 344-357
Open Access | Times Cited: 2
Surachai Chantee, Theeraya Mayakul
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 344-357
Open Access | Times Cited: 2
Assessment of vulnerability to flood risk in the Padma River Basin using hydro-morphometric modeling and flood susceptibility mapping
Mohammed Fahim Abrar, Yasin Edmam Iman, Mubashira Binte Mustak, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 2
Mohammed Fahim Abrar, Yasin Edmam Iman, Mubashira Binte Mustak, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 2
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 10, pp. 3537-3559
Open Access | Times Cited: 2
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 10, pp. 3537-3559
Open Access | Times Cited: 2
Estimating Elements Susceptible to Urban Flooding Using Multisource Data and Machine Learning
Wegayehu Asfaw, T.H.M. Rientjes, Tilaye Worku Bekele, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105169-105169
Open Access | Times Cited: 2
Wegayehu Asfaw, T.H.M. Rientjes, Tilaye Worku Bekele, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105169-105169
Open Access | Times Cited: 2
Risk Identification of Mountain Torrent Hazard Using Machine Learning and Bayesian Model Averaging Techniques
Ya Chu, Weifeng Song, Dongbin Chen
Water (2024) Vol. 16, Iss. 11, pp. 1556-1556
Open Access | Times Cited: 1
Ya Chu, Weifeng Song, Dongbin Chen
Water (2024) Vol. 16, Iss. 11, pp. 1556-1556
Open Access | Times Cited: 1
Enhancing stormwater network overflow prediction: investigation of ensemble learning models
S. Boughandjioua, Fares Laouacheria, Nabiha Azizi
Acta Geophysica (2024)
Closed Access | Times Cited: 1
S. Boughandjioua, Fares Laouacheria, Nabiha Azizi
Acta Geophysica (2024)
Closed Access | Times Cited: 1
Flood assessment using machine learning and its implications for coastal spatial planning in Phu Yen Province, Vietnam
Van Truong Tran, Huu Duy Nguyen, Dang Thi Ngoc, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 8, pp. 3738-3761
Open Access | Times Cited: 1
Van Truong Tran, Huu Duy Nguyen, Dang Thi Ngoc, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 8, pp. 3738-3761
Open Access | Times Cited: 1
WATER LEVEL PROFILE IN PARIT BERKAT DRAINAGE CHANNEL OF PUNGGUR BESAR
Alfi Riandini, Nurhayati Nurhayati, Stefanus Barlian Soeryamassoeka
Jurnal Teknik Sipil (2023) Vol. 23, Iss. 2, pp. 198-198
Open Access | Times Cited: 2
Alfi Riandini, Nurhayati Nurhayati, Stefanus Barlian Soeryamassoeka
Jurnal Teknik Sipil (2023) Vol. 23, Iss. 2, pp. 198-198
Open Access | Times Cited: 2
Transferability of machine learning-based modeling frameworks across flood events for hindcasting maximum river flood depths in coastal watersheds
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2023)
Open Access | Times Cited: 2
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2023)
Open Access | Times Cited: 2
Electrical geophysical evaluation of susceptibility to flooding in University of Nigeria, Nsukka main campus and its environs, Southeastern Nigeria
Daniel N. Obiora, Johnson C. Ibuot
Journal of Groundwater Science and Engineering (2023) Vol. 11, Iss. 4, pp. 422-434
Open Access | Times Cited: 2
Daniel N. Obiora, Johnson C. Ibuot
Journal of Groundwater Science and Engineering (2023) Vol. 11, Iss. 4, pp. 422-434
Open Access | Times Cited: 2
A hybrid machine learning modelling for optimization of flood susceptibility mapping in the eastern Mediterranean
Hazem Ghassan Abdo, Sahar Mohammed Richi, Saeed Alqadhi, et al.
Natural Hazards (2024)
Closed Access
Hazem Ghassan Abdo, Sahar Mohammed Richi, Saeed Alqadhi, et al.
Natural Hazards (2024)
Closed Access
Comment on nhess-2023-152
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Comment on nhess-2023-152
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Estimating Elements Susceptible to Urban Flooding Using Multisource Data and Machine Learning
Wegayehu Asfaw, Tom H. M. Rientjes, Tilaye Worku Bekele, et al.
(2024)
Closed Access
Wegayehu Asfaw, Tom H. M. Rientjes, Tilaye Worku Bekele, et al.
(2024)
Closed Access
