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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 Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
Binh Thai Pham, Indra Prakash, Abolfazl Jaafari, et al.
Journal of the Indian Society of Remote Sensing (2018) Vol. 46, Iss. 9, pp. 1457-1470
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
Khabat Khosravi, Himan Shahabi, Binh Thai Pham, et al.
Journal of Hydrology (2019) Vol. 573, pp. 311-323
Closed Access | Times Cited: 562
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
Jie Dou, Ali P. Yunus, Dieu Tien Bui, et al.
The Science of The Total Environment (2019) Vol. 662, pp. 332-346
Closed Access | Times Cited: 509
Optimal ratio for data splitting
V. Roshan Joseph
Statistical Analysis and Data Mining The ASA Data Science Journal (2022) Vol. 15, Iss. 4, pp. 531-538
Open Access | Times Cited: 469
Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
Quang Hung Nguyen, Haï-Bang Ly, Lanh Si Ho, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 467
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
Dong Van Dao, Abolfazl Jaafari, Mahmoud Bayat, et al.
CATENA (2020) Vol. 188, pp. 104451-104451
Closed Access | Times Cited: 292
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
Abolfazl Jaafari, Eric K. Zenner, Mahdi Panahi, et al.
Agricultural and Forest Meteorology (2019) Vol. 266-267, pp. 198-207
Closed Access | Times Cited: 265
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
Abolfazl Jaafari, Mahdi Panahi, Binh Thai Pham, et al.
CATENA (2019) Vol. 175, pp. 430-445
Closed Access | Times Cited: 236
Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review
Abhirup Dikshit, Raju Sarkar, Biswajeet Pradhan, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2466-2466
Open Access | Times Cited: 234
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction
Binh Thai Pham, Abolfazl Jaafari, Mohammadtaghi Avand, et al.
Symmetry (2020) Vol. 12, Iss. 6, pp. 1022-1022
Open Access | Times Cited: 231
Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models
Ebrahim Nohani, Meysam Moharrami, Siyamack Sharafi, et al.
Water (2019) Vol. 11, Iss. 7, pp. 1402-1402
Open Access | Times Cited: 215
GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
Binh Thai Pham, Mohammadtaghi Avand, Saeid Janizadeh, et al.
Water (2020) Vol. 12, Iss. 3, pp. 683-683
Open Access | Times Cited: 207
Development of advanced artificial intelligence models for daily rainfall prediction
Binh Thai Pham, Lei Lü, Tien-Thinh Le, et al.
Atmospheric Research (2020) Vol. 237, pp. 104845-104845
Closed Access | Times Cited: 195
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
Wei Chen, Xi Chen, Jianbing Peng, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 93-107
Open Access | Times Cited: 167
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms
Mahdi Panahi, Amiya Gayen, Hamid Reza Pourghasemi, et al.
The Science of The Total Environment (2020) Vol. 741, pp. 139937-139937
Closed Access | Times Cited: 155
Assessing forest fire likelihood and identification of fire risk zones using maximum entropy-based model in Khyber Pakhtunkhwa, Pakistan
Rida Naseer, Muhammad Nawaz Chaudhry
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access | Times Cited: 2
A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers
Binh Thai Pham, Indra Prakash, Jie Dou, et al.
Geocarto International (2018) Vol. 35, Iss. 12, pp. 1267-1292
Closed Access | Times Cited: 156
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
A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment
Mousa Abedini, Bahareh Ghasemian, Ataollah Shirzadi, et al.
Geocarto International (2018) Vol. 34, Iss. 13, pp. 1427-1457
Closed Access | Times Cited: 131
Hybrid computational intelligence models for groundwater potential mapping
Binh Thai Pham, Abolfazl Jaafari, Indra Prakash, et al.
CATENA (2019) Vol. 182, pp. 104101-104101
Closed Access | Times Cited: 130
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 125
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
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
Forests (2020) Vol. 11, Iss. 4, pp. 421-421
Open Access | Times Cited: 115
A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
Binh Thai Pham, Tran Van Phong, Huu Duy Nguyen, et al.
Water (2020) Vol. 12, Iss. 1, pp. 239-239
Open Access | Times Cited: 111
Machine Learning Algorithms for Smart Data Analysis in Internet of Things Environment: Taxonomies and Research Trends
Mohammed H. Alsharif, Anabi Hilary Kelechi, Khalid Yahya, et al.
Symmetry (2020) Vol. 12, Iss. 1, pp. 88-88
Open Access | Times Cited: 109
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