Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A novel hybrid model of Bagging-based Naïve Bayes Trees for landslide susceptibility assessment
Binh Thai Pham, Indra Prakash
Bulletin of Engineering Geology and the Environment (2017) Vol. 78, Iss. 3, pp. 1911-1925
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

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
Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
Yanli Wu, Yutian Ke, Zhuo Chen, et al.
CATENA (2019) Vol. 187, pp. 104396-104396
Open Access | Times Cited: 348
Deep learning-based landslide susceptibility mapping
Mohammad Azarafza, Mehdi Azarafza, Haluk Akgün, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 266
GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods
Xi Chen, Wei Chen
CATENA (2020) Vol. 196, pp. 104833-104833
Closed Access | Times Cited: 247
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
Qingfeng He, Himan Shahabi, Ataollah Shirzadi, et al.
The Science of The Total Environment (2019) Vol. 663, pp. 1-15
Closed Access | Times Cited: 220
A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling
Binh Thai Pham, Abolfazl Jaafari, Indra Prakash, et al.
Bulletin of Engineering Geology and the Environment (2018) Vol. 78, Iss. 4, pp. 2865-2886
Closed Access | Times Cited: 219
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
GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
Wei Chen, Yang Li
CATENA (2020) Vol. 195, pp. 104777-104777
Closed Access | Times Cited: 204
Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion
Younes Garosi, Mohsen Sheklabadi, Christian Conoscenti, et al.
The Science of The Total Environment (2019) Vol. 664, pp. 1117-1132
Closed Access | Times Cited: 189
A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
Khabat Khosravi, Majid Sartaj, Frank T.‐C. Tsai, et al.
The Science of The Total Environment (2018) Vol. 642, pp. 1032-1049
Closed Access | Times Cited: 188
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
Ataollah Shirzadi, Karim Soliamani, Mahmood Habibnejhad, et al.
Sensors (2018) Vol. 18, Iss. 11, pp. 3777-3777
Open Access | Times Cited: 181
Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
Lecture notes in networks and systems (2020), pp. 215-227
Closed Access | Times Cited: 171
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
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125815-125815
Closed Access | Times Cited: 166
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
Wei Chen, Haoyuan Hong, Mahdi Panahi, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3755-3755
Open Access | Times Cited: 154
Hydrogeochemical Evaluation of Groundwater Aquifers and Associated Health Hazard Risk Mapping Using Ensemble Data Driven Model in a Water Scares Plateau Region of Eastern India
Dipankar Ruidas, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, et al.
Exposure and Health (2022) Vol. 15, Iss. 1, pp. 113-131
Closed Access | Times Cited: 87
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
Wei Chen, Himan Shahabi, Shuai Zhang, et al.
Applied Sciences (2018) Vol. 8, Iss. 12, pp. 2540-2540
Open Access | Times Cited: 162
Bagging based Support Vector Machines for spatial prediction of landslides
Binh Thai Pham, Dieu Tien Bui, Indra Prakash
Environmental Earth Sciences (2018) Vol. 77, Iss. 4
Closed Access | Times Cited: 132
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
Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models
Mohsen Hosseinalizadeh, Narges Kariminejad, Wei Chen, et al.
Geoderma (2019) Vol. 342, pp. 1-11
Closed Access | Times Cited: 101
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
Sunil Saha, Jagabandhu Roy, Alireza Arabameri, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1313-1313
Open Access | Times Cited: 95
Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam
Tran Van Phong, Phan Trọng Trịnh, Indra Prakash, et al.
Geocarto International (2019) Vol. 36, Iss. 15, pp. 1685-1708
Closed Access | Times Cited: 92
Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers
Binh Thai Pham, Tran Van Phong, T. Nguyen‐Thoi, et al.
Geocarto International (2020) Vol. 37, Iss. 3, pp. 735-757
Closed Access | Times Cited: 92
Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms
Javed Mallick, Saeed Alqadhi, Swapan Talukdar, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 457-457
Open Access | Times Cited: 58
Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales
Xin Wei, Lulu Zhang, Paolo Gardoni, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 8, pp. 4453-4476
Closed Access | Times Cited: 33
Page 1 - Next Page

Scroll to top