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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:

Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
Binh Thai Pham, Dieu Tien Bui, Hamid Reza Pourghasemi, et al.
Theoretical and Applied Climatology (2015) Vol. 128, Iss. 1-2, pp. 255-273
Closed Access | Times Cited: 340

Showing 1-25 of 340 citing articles:

A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
Wei Chen, Xiaoshen Xie, Jiale Wang, et al.
CATENA (2016) Vol. 151, pp. 147-160
Open Access | Times Cited: 808
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Khabat Khosravi, Binh Thai Pham, Kamran Chapi, et al.
The Science of The Total Environment (2018) Vol. 627, pp. 744-755
Closed Access | Times Cited: 653
Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
Binh Thai Pham, Dieu Tien Bui, Indra Prakash, et al.
CATENA (2016) Vol. 149, pp. 52-63
Closed Access | Times Cited: 582
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
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
Binh Thai Pham, Biswajeet Pradhan, Dieu Tien Bui, et al.
Environmental Modelling & Software (2016) Vol. 84, pp. 240-250
Closed Access | Times Cited: 486
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
Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
Yi Wang, Zhice Fang, Haoyuan Hong
The Science of The Total Environment (2019) Vol. 666, pp. 975-993
Closed Access | Times Cited: 436
Prediction of the landslide susceptibility: Which algorithm, which precision?
Hamid Reza Pourghasemi, Omid Rahmati
CATENA (2017) Vol. 162, pp. 177-192
Closed Access | Times Cited: 424
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
Wei Chen, Shuai Zhang, Renwei Li, et al.
The Science of The Total Environment (2018) Vol. 644, pp. 1006-1018
Closed Access | Times Cited: 412
Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
Wei Chen, Hamid Reza Pourghasemi, Aiding Kornejady, et al.
Geoderma (2017) Vol. 305, pp. 314-327
Closed Access | Times Cited: 362
Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
Ahmed M. Youssef, Hamid Reza Pourghasemi
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 639-655
Open Access | Times Cited: 336
Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
Dieu Tien Bui, Biswajeet Pradhan, Haleh Nampak, et al.
Journal of Hydrology (2016) Vol. 540, pp. 317-330
Closed Access | Times Cited: 326
GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models
Wei Chen, Hui Li, Enke Hou, et al.
The Science of The Total Environment (2018) Vol. 634, pp. 853-867
Open Access | Times Cited: 292
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
Dieu Tien Bui, Tien-Chung Ho, Biswajeet Pradhan, et al.
Environmental Earth Sciences (2016) Vol. 75, Iss. 14
Closed Access | Times Cited: 291
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Binh Thai Pham, Indra Prakash, Sushant K. Singh, et al.
CATENA (2018) Vol. 175, pp. 203-218
Closed Access | Times Cited: 280
Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization
Dieu Tien Bui, Trần Anh Tuấn, Nhat‐Duc Hoang, et al.
Landslides (2016) Vol. 14, Iss. 2, pp. 447-458
Closed Access | Times Cited: 261
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
Wei Chen, Hamid Reza Pourghasemi, Mahdi Panahi, et al.
Geomorphology (2017) Vol. 297, pp. 69-85
Closed Access | Times Cited: 257
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
Ataollah Shirzadi, Dieu Tien Bui, Binh Thai Pham, et al.
Environmental Earth Sciences (2017) Vol. 76, Iss. 2
Closed Access | Times Cited: 252
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
Wei Chen, Xiaoshen Xie, Jianbing Peng, et al.
CATENA (2018) Vol. 164, pp. 135-149
Open Access | Times Cited: 251
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
Wei Chen, Mahdi Panahi, Paraskevas Tsangaratos, et al.
CATENA (2018) Vol. 172, pp. 212-231
Closed Access | Times Cited: 243
Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques
Amina Khan, Sumeet Gupta, Sachin Kumar Gupta
International Journal of Disaster Risk Reduction (2020) Vol. 47, pp. 101642-101642
Closed Access | Times Cited: 240
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
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
Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees
Binh Thai Pham, Indra Prakash, Dieu Tien Bui
Geomorphology (2017) Vol. 303, pp. 256-270
Closed Access | Times Cited: 220
GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models
Wei Chen, Xiaoshen Xie, Jianbing Peng, et al.
Geomatics Natural Hazards and Risk (2017) Vol. 8, Iss. 2, pp. 950-973
Open Access | Times Cited: 205
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