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OpenAlex Citation Counts

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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:

Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models
Safura Siahkamari, Ali Haghizadeh, Hossein Zeinivand, et al.
Geocarto International (2017) Vol. 33, Iss. 9, pp. 927-941
Closed Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Bahram Choubin, Ehsan Moradi, Mohammad Golshan, et al.
The Science of The Total Environment (2018) Vol. 651, pp. 2087-2096
Open Access | Times Cited: 663
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: 427
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Farzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi, et al.
The Science of The Total Environment (2019) Vol. 711, pp. 135161-135161
Open Access | Times Cited: 304
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: 261
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
Dieu Tien Bui, Paraskevas Tsangaratos, Phuong Thao Thi Ngo, et al.
The Science of The Total Environment (2019) Vol. 668, pp. 1038-1054
Closed Access | Times Cited: 248
Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
Esmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir, et al.
The Science of The Total Environment (2019) Vol. 705, pp. 135983-135983
Closed Access | Times Cited: 223
GIS-based flood hazard mapping using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan
Kashif Ullah, Jiquan Zhang
PLoS ONE (2020) Vol. 15, Iss. 3, pp. e0229153-e0229153
Open Access | Times Cited: 216
Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
Elham Rafiei-Sardooi, Ali Azareh, Bahram Choubin, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 66, pp. 102614-102614
Open Access | Times Cited: 215
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models
Ali Azareh, Omid Rahmati, Elham Rafiei-Sardooi, et al.
The Science of The Total Environment (2018) Vol. 655, pp. 684-696
Open Access | Times Cited: 190
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Swapan Talukdar, Bonosri Ghose, Shahfahad, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 12, pp. 2277-2300
Closed Access | Times Cited: 184
Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud
Kishore Chandra Swain, Chiranjit Singha, L. K. Nayak
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 12, pp. 720-720
Open Access | Times Cited: 175
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125815-125815
Closed Access | Times Cited: 166
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Yi Wang, Zhice Fang, Haoyuan Hong, et al.
Journal of Environmental Management (2021) Vol. 289, pp. 112449-112449
Closed Access | Times Cited: 122
Evaluation of multi-hazard map produced using MaxEnt machine learning technique
Narges Javidan, Ataollah Kavian, Hamid Reza Pourghasemi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 114
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: 59
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 | Times Cited: 2
Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas
Fatemeh Falah, Omid Rahmati, Mohammad Rostami, et al.
Elsevier eBooks (2019), pp. 323-336
Closed Access | Times Cited: 145
Land subsidence modelling using tree-based machine learning algorithms
Omid Rahmati, Fatemeh Falah, Seyed Amir Naghibi, et al.
The Science of The Total Environment (2019) Vol. 672, pp. 239-252
Closed Access | Times Cited: 141
Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models
Wenjing Li, Kairong Lin, Tongtiegang Zhao, et al.
Journal of Hydrology (2019) Vol. 572, pp. 108-120
Closed Access | Times Cited: 135
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: 134
A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data
Phuong Thao Thi Ngo, Nhat‐Duc Hoang, Biswajeet Pradhan, et al.
Sensors (2018) Vol. 18, Iss. 11, pp. 3704-3704
Open Access | Times Cited: 130
Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities
Omid Rahmati, Ali Golkarian, Trent Biggs, et al.
Journal of Environmental Management (2019) Vol. 236, pp. 466-480
Closed Access | Times Cited: 130
Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration
Romulus Costache
Stochastic Environmental Research and Risk Assessment (2019) Vol. 33, Iss. 7, pp. 1375-1402
Closed Access | Times Cited: 120
Application of the GIS-Based Probabilistic Models for Mapping the Flood Susceptibility in Bansloi Sub-basin of Ganga-Bhagirathi River and Their Comparison
Gopal Chandra Paul, Sunil Saha, Tusar Kanti Hembram
Remote Sensing in Earth Systems Sciences (2019) Vol. 2, Iss. 2-3, pp. 120-146
Closed Access | Times Cited: 113
Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning
Romulus Costache, Mihnea Cristian Popa, Dieu Tien Bui, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124808-124808
Closed Access | Times Cited: 113
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