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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:

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 8, pp. 2749-2749
Open Access | Times Cited: 221

Showing 1-25 of 221 citing articles:

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
Abdelaziz Merghadi, Ali P. Yunus, Jie Dou, et al.
Earth-Science Reviews (2020) Vol. 207, pp. 103225-103225
Closed Access | Times Cited: 823
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
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
Bakhtiar Feizizadeh, Davoud Omarzadeh, Mohammad Kazemi Garajeh, et al.
Journal of Environmental Planning and Management (2021) Vol. 66, Iss. 3, pp. 665-697
Closed Access | Times Cited: 139
Comparing machine learning algorithms for predicting COVID-19 mortality
Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 121
A comprehensive review of machine learning‐based methods in landslide susceptibility mapping
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2283-2301
Closed Access | Times Cited: 113
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms
Laleh Ghayour, Aminreza Neshat, Sina Paryani, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1349-1349
Open Access | Times Cited: 110
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
Landslide Susceptibility Assessment for Maragheh County, Iran, Using the Logistic Regression Algorithm
Ahmed Cemiloglu, Li-Cai Zhu, Agab Bakheet Mohammednour, et al.
Land (2023) Vol. 12, Iss. 7, pp. 1397-1397
Open Access | Times Cited: 56
Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis
Hoang Thi Hang, Javed Mallick, Saeed Alqadhi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103655-103655
Open Access | Times Cited: 20
Comprehensive study of the artificial intelligence applied in renewable energy
Aseel Bennagi, Obaida AlHousrya, Daniel Tudor Cotfas, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101446-101446
Open Access | Times Cited: 19
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Nafees Ali, Jian Chen, Xiaodong Fu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 988-988
Open Access | Times Cited: 17
Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
Binh Thai Pham, T. Nguyen‐Thoi, Chongchong Qi, et al.
CATENA (2020) Vol. 195, pp. 104805-104805
Closed Access | Times Cited: 136
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
Viet‐Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 4933-4933
Open Access | Times Cited: 121
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: 121
Deep learning neural networks for spatially explicit prediction of flash flood probability
Mahdi Panahi, Abolfazl Jaafari, Ataollah Shirzadi, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101076-101076
Open Access | Times Cited: 120
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
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
Viet‐Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
Forests (2020) Vol. 11, Iss. 8, pp. 830-830
Open Access | Times Cited: 78
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
Ehsan Kamali Maskooni, Seyed Amir Naghibi, Hossein Hashemi, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2742-2742
Open Access | Times Cited: 78
GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling
Wenwu Chen, Shuai Zhang
CATENA (2021) Vol. 203, pp. 105344-105344
Closed Access | Times Cited: 77
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
Viet‐Ha Nhu, Danesh Zandi, Himan Shahabi, et al.
Applied Sciences (2020) Vol. 10, Iss. 15, pp. 5047-5047
Open Access | Times Cited: 71
A Comparative Analysis of Machine Learning Models: A Case Study in Predicting Chronic Kidney Disease
Hasnain Iftikhar, Murad Khan, Zardad Khan, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2754-2754
Open Access | Times Cited: 37
Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu
Ziyu Jiang, Ming Wang, Kai Liu
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 798-798
Open Access | Times Cited: 35
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
Assessment of Wildfire Susceptibility and Wildfire Threats to Ecological Environment and Urban Development Based on GIS and Multi-Source Data: A Case Study of Guilin, China
Weiting Yue, Chao Ren, Yueji Liang, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2659-2659
Open Access | Times Cited: 27
Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution
Babitha Ganesh, Shweta Vincent, Sameena Pathan, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 29, pp. 100905-100905
Closed Access | Times Cited: 26
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