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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 soil erosion susceptibility using a fuzzy analytical network process: Application of the fuzzy decision making trial and evaluation laboratory approach
Farzaneh Sajedi Hosseini, Bahram Choubin, Karim Solaimani, et al.
Land Degradation and Development (2018) Vol. 29, Iss. 9, pp. 3092-3103
Closed Access | Times Cited: 88

Showing 1-25 of 88 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: 660
Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
Hamid Darabi, Bahram Choubin, Omid Rahmati, et al.
Journal of Hydrology (2018) Vol. 569, pp. 142-154
Open Access | Times Cited: 361
A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination
Farzaneh Sajedi Hosseini, Arash Malekian, Bahram Choubin, et al.
The Science of The Total Environment (2018) Vol. 644, pp. 954-962
Open Access | Times Cited: 304
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
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: 222
Depth prediction of urban flood under different rainfall return periods based on deep learning and data warehouse
Zening Wu, Yihong Zhou, Huiliang Wang, et al.
The Science of The Total Environment (2020) Vol. 716, pp. 137077-137077
Closed Access | Times Cited: 181
Snow avalanche hazard prediction using machine learning methods
Bahram Choubin, Moslem Borji, Amir Mosavi, et al.
Journal of Hydrology (2019) Vol. 577, pp. 123929-123929
Open Access | Times Cited: 163
Flooding and its relationship with land cover change, population growth, and road density
Mahfuzur Rahman, Chen Ningsheng, Golam Iftekhar Mahmud, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101224-101224
Open Access | Times Cited: 145
Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models
Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, et al.
Water (2020) Vol. 12, Iss. 7, pp. 1995-1995
Open Access | Times Cited: 144
Soil water erosion susceptibility assessment using deep learning algorithms
Khabat Khosravi, Fatemeh Rezaie, James R. Cooper, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129229-129229
Open Access | Times Cited: 97
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
Alireza Arabameri, Sunil Saha, Wei Chen, et al.
Journal of Hydrology (2020) Vol. 587, pp. 125007-125007
Closed Access | Times Cited: 139
Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins
Amirhosein Mosavi, Mohammad Golshan, Saeid Janizadeh, et al.
Geocarto International (2020) Vol. 37, Iss. 9, pp. 2541-2560
Closed Access | Times Cited: 113
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
Romulus Costache, Quoc Bao Pham, Mohammadtaghi Avand, et al.
Journal of Environmental Management (2020) Vol. 265, pp. 110485-110485
Closed Access | Times Cited: 111
Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria
Hossein Alilou, Omid Rahmati, Vijay P. Singh, et al.
Journal of Environmental Management (2018) Vol. 232, pp. 22-36
Closed Access | Times Cited: 103
A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia
Mahyat Shafapour Tehrany, Lalit Kumar, Farzin Shabani
PeerJ (2019) Vol. 7, pp. e7653-e7653
Open Access | Times Cited: 102
Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment
Ali Azareh, Elham Rafiei Sardooi, Bahram Choubin, et al.
Geocarto International (2019) Vol. 36, Iss. 20, pp. 2345-2365
Closed Access | Times Cited: 89
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India
Manish Sharma, Pargin Bangotra, Alok Sagar Gautam, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 6, pp. 1779-1789
Open Access | Times Cited: 75
Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration
Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Sensors (2020) Vol. 20, Iss. 20, pp. 5763-5763
Open Access | Times Cited: 74
Evaluation of flood susceptibility prediction based on a resampling method using machine learning
Septianto Aldiansyah, Farida Wardani
Journal of Water and Climate Change (2023) Vol. 14, Iss. 3, pp. 937-961
Open Access | Times Cited: 23
Mapping groundwater potential zone in the subarnarekha basin, India, using a novel hybrid multi-criteria approach in Google earth Engine
Chiranjit Singha, Kishore Chandra Swain, Biswajeet Pradhan, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24308-e24308
Open Access | Times Cited: 15
Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques
A. Jaya Prakash, Sazeda Begam, Vít Vilímek, et al.
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 14
Sustainable Financial Infrastructure and governance: A Fuzzy Multi-Criteria Decision-Making Analysis of Open Service Innovation in Unstable Economies
Homa Molavi, Lihong Zhang, Mohammad Khanbaei
Sustainable Futures (2025), pp. 100485-100485
Open Access | Times Cited: 1
Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran
Alireza Arabameri, Sunil Saha, Kaustuv Mukherjee, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3423-3423
Open Access | Times Cited: 69
Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment
Rabin Chakrabortty, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Journal of the Indian Society of Remote Sensing (2020) Vol. 48, Iss. 5, pp. 765-789
Closed Access | Times Cited: 66
Groundwater nitrate pollution risk assessment of the groundwater source field based on the integrated numerical simulations in the unsaturated zone and saturated aquifer
Huan Huan, Litang Hu, Yang Yu, et al.
Environment International (2020) Vol. 137, pp. 105532-105532
Open Access | Times Cited: 58
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