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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:

GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique
Alireza Arabameri, Khalil Rezaei, Hamid Reza Pourghasemi, et al.
Environmental Earth Sciences (2018) Vol. 77, Iss. 17
Closed Access | Times Cited: 163

Showing 1-25 of 163 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: 259
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
Measuring, modelling and managing gully erosion at large scales: A state of the art
Matthias Vanmaercke, Panos Panagos, Tom Vanwalleghem, et al.
Earth-Science Reviews (2021) Vol. 218, pp. 103637-103637
Open Access | Times Cited: 201
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3568-3568
Open Access | Times Cited: 196
GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
Alireza Arabameri, Khalil Rezaei, Artemi Cerdà, et al.
The Science of The Total Environment (2018) Vol. 658, pp. 160-177
Open Access | Times Cited: 195
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
Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion
Younes Garosi, Mohsen Sheklabadi, Christian Conoscenti, et al.
The Science of The Total Environment (2019) Vol. 664, pp. 1117-1132
Closed Access | Times Cited: 189
Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
Alireza Arabameri, Sunil Saha, Jagabandhu Roy, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 475-475
Open Access | Times Cited: 182
GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei, et al.
Journal of Mountain Science (2019) Vol. 16, Iss. 3, pp. 595-618
Closed Access | Times Cited: 149
Comparison of machine learning models for gully erosion susceptibility mapping
Alireza Arabameri, Wei Chen, Marco Loche, et al.
Geoscience Frontiers (2019) Vol. 11, Iss. 5, pp. 1609-1620
Open Access | Times Cited: 149
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility
Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5609-5609
Open Access | Times Cited: 147
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3029-3029
Open Access | Times Cited: 109
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
Dipankar Ruidas, Rabin Chakrabortty, Abu Reza Md. Towfiqul Islam, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 94
GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
Nur Islam Saikh, Prolay Mondal
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 420-436
Open Access | Times Cited: 47
Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei
Journal of Environmental Management (2018) Vol. 232, pp. 928-942
Open Access | Times Cited: 162
Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-Based FR–RF Integrated Model and Multiresolution DEMs
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 999-999
Open Access | Times Cited: 134
Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
Hamid Reza Pourghasemi, Nitheshnirmal Sãdhasivam, Narges Kariminejad, et al.
Geoscience Frontiers (2020) Vol. 11, Iss. 6, pp. 2207-2219
Open Access | Times Cited: 115
Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility
Alireza Arabameri, M Yamani, Biswajeet Pradhan, et al.
The Science of The Total Environment (2019) Vol. 688, pp. 903-916
Closed Access | Times Cited: 114
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
Rabin Chakrabortty, Subodh Chandra Pal, Mehebub Sahana, et al.
Natural Hazards (2020) Vol. 104, Iss. 2, pp. 1259-1294
Closed Access | Times Cited: 114
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
Dieu Tien Bui, Ataollah Shirzadi, Himan Shahabi, et al.
Sensors (2019) Vol. 19, Iss. 11, pp. 2444-2444
Open Access | Times Cited: 110
DEM resolution effects on machine learning performance for flood probability mapping
Mohammadtaghi Avand, Alban Kuriqi, Majid Khazaei, et al.
Journal of Hydro-environment Research (2021) Vol. 40, pp. 1-16
Open Access | Times Cited: 104
A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping
Mohammadtaghi Avand, Saeid Janizadeh, Seyed Amir Naghibi, et al.
Water (2019) Vol. 11, Iss. 10, pp. 2076-2076
Open Access | Times Cited: 103
Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei, et al.
CATENA (2019) Vol. 180, pp. 282-297
Closed Access | Times Cited: 100
Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India
Sunil Saha, Amiya Gayen, Hamid Reza Pourghasemi, et al.
Environmental Earth Sciences (2019) Vol. 78, Iss. 23
Closed Access | Times Cited: 100
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
Sunil Saha, Jagabandhu Roy, Alireza Arabameri, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1313-1313
Open Access | Times Cited: 95
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