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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:

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2478-2478
Open Access | Times Cited: 120

Showing 26-50 of 120 citing articles:

Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region
Yunzhi Chen, Wei Chen, Saeid Janizadeh, et al.
Geocarto International (2021) Vol. 37, Iss. 16, pp. 4628-4654
Closed Access | Times Cited: 48
Bagging-based machine learning algorithms for landslide susceptibility modeling
Tingyu Zhang, Quan Fu, Hao Wang, et al.
Natural Hazards (2021) Vol. 110, Iss. 2, pp. 823-846
Open Access | Times Cited: 47
Optimization of statistical and machine learning hybrid models for groundwater potential mapping
Peyman Yariyan, Mohammadtaghi Avand, Ebrahim Omidvar, et al.
Geocarto International (2021) Vol. 37, Iss. 13, pp. 3877-3911
Closed Access | Times Cited: 44
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 7, pp. 401-401
Open Access | Times Cited: 37
Assessing gully erosion susceptibility and its conditioning factors in southeastern Brazil using machine learning algorithms and bivariate statistical methods: A regional approach
Júlio César Lana, Paulo de Tarso Amorim Castro, Cláudio Eduardo Lana
Geomorphology (2022) Vol. 402, pp. 108159-108159
Closed Access | Times Cited: 33
Mapping of Water-Induced Soil Erosion Using Machine Learning Models: A Case Study of Oum Er Rbia Basin (Morocco)
Ahmed Barakat, Mouadh Rafai, Hassan Mosaid, et al.
Earth Systems and Environment (2022) Vol. 7, Iss. 1, pp. 151-170
Closed Access | Times Cited: 30
Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries
Abu Reza Md. Towfiqul Islam, Md. Mijanur Rahman Bappi, Saeed Alqadhi, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 1-37
Closed Access | Times Cited: 21
Remote sensing and GIS-based machine learning models for spatial gully erosion prediction: A case study of Rdat watershed in Sebou basin, Morocco
My Hachem Aouragh, Safae Ijlil, Narjisse Essahlaoui, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 30, pp. 100939-100939
Closed Access | Times Cited: 19
Implementation of random forest, adaptive boosting, and gradient boosting decision trees algorithms for gully erosion susceptibility mapping using remote sensing and GIS
Hassan Ait Naceur, Hazem Ghassan Abdo, Brahim Igmoullan, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 3
Closed Access | Times Cited: 6
Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility
Alireza Arabameri, Ebrahim Karimi Sangchini, Subodh Chandra Pal, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3389-3389
Open Access | Times Cited: 47
Gully Erosion Susceptibility Mapping in Highly Complex Terrain Using Machine Learning Models
Annan Yang, Chunmei Wang, Guowei Pang, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 10, pp. 680-680
Open Access | Times Cited: 40
Flash-flood propagation susceptibility estimation using weights of evidence and their novel ensembles with multicriteria decision making and machine learning
Romulus Costache, Quoc Bao Pham, Alireza Arabameri, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8361-8393
Closed Access | Times Cited: 39
Data driven models to predict pore pressure using drilling and petrophysical data
Farshad Jafarizadeh, Meysam Rajabi, Somayeh Tabasi, et al.
Energy Reports (2022) Vol. 8, pp. 6551-6562
Open Access | Times Cited: 26
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India
Sunil Saha, Amiya Gayen, Bijoy Bayen
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3295-3310
Closed Access | Times Cited: 25
A New Approach for Smart Soil Erosion Modeling: Integration of Empirical and Machine-Learning Models
Mohammadtaghi Avand, Maziar Mohammadi, Fahimeh Mirchooli, et al.
Environmental Modeling & Assessment (2022) Vol. 28, Iss. 1, pp. 145-160
Closed Access | Times Cited: 25
Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques
Romulus Costache, Alireza Arabameri, Iulia Costache, et al.
Journal of Environmental Management (2022) Vol. 316, pp. 115316-115316
Open Access | Times Cited: 23
A Systematic Review of the Research Development on the Application of Machine Learning for Concrete
Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, et al.
Materials (2022) Vol. 15, Iss. 13, pp. 4512-4512
Open Access | Times Cited: 23
Head-cut gully erosion susceptibility mapping in semi-arid region using machine learning methods: insight from the high atlas, Morocco
Abdeslam Baiddah, Samira Krimissa, Sonia Hajji, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13
Comparative landslide susceptibility assessment using information value and frequency ratio bivariate statistical methods: a case study from Northwestern Himalayas, Jammu and Kashmir, India
Imran Khan, Ashutosh Kainthola, Harish Bahuguna, et al.
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 8
Closed Access | Times Cited: 5
Assessment of disaster mitigation capability oriented to typhoon disaster chains: A case study of Fujian Province, China
Xiaoliu Yang, Xiaochen Qin, Xiang Zhou, et al.
Ecological Indicators (2024) Vol. 167, pp. 112621-112621
Open Access | Times Cited: 5
Spatial analysis of flood susceptibility in Coastal area of Pakistan using machine learning models and SAR imagery
Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Closed Access
Species distribution modeling of Malva neglecta Wallr. weed using ten different machine learning algorithms: An approach to site-specific weed management (SSWM)
Emran Dastres, Hassan Esmaeili, Mohsen Edalat
European Journal of Agronomy (2025) Vol. 167, pp. 127579-127579
Closed Access
A Methodological Comparison of Three Models for Gully Erosion Susceptibility Mapping in the Rural Municipality of El Faid (Morocco)
Ali Azedou, Saïd Lahssini, Abdellatif Khattabi, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 682-682
Open Access | Times Cited: 27
Central composite design application in the optimization of the effect of waste foundry sand on concrete properties using RSM
Mujahid Ali, Muhammad Imran Khan, Faisal Masood, et al.
Structures (2022) Vol. 46, pp. 1581-1594
Closed Access | Times Cited: 22
Landslide susceptibility modeling based on remote sensing data and data mining techniques
Xiaojing Wang, Faming Huang, Xuanmei Fan, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 2
Closed Access | Times Cited: 19

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