Standout Papers

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of... 2015 2026 2018 2022 972
  1. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree (2015)
    Dieu Tien Bui, Trần Anh Tuấn et al. Landslides
  2. Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance (2020)
    Abdelaziz Merghadi, Ali P. Yunus et al. Earth-Science Reviews
  3. A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility (2016)
    Wei Chen, Xiaoshen Xie et al. CATENA
  4. A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape (2015)
    Kennedy Were, Dieu Tien Bui et al. Ecological Indicators
  5. A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran (2018)
    Khabat Khosravi, Binh Thai Pham et al. The Science of The Total Environment
  6. Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS (2016)
    Binh Thai Pham, Dieu Tien Bui et al. CATENA
  7. A novel hybrid artificial intelligence approach for flood susceptibility assessment (2017)
    Kamran Chapi, Vijay P. Singh et al. Environmental Modelling & Software
  8. Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan (2019)
    Jie Dou, Ali P. Yunus et al. The Science of The Total Environment
  9. Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models (2012)
    Dieu Tien Bui, Biswajeet Pradhan et al. Mathematical Problems in Engineering
  10. A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) (2016)
    Binh Thai Pham, Biswajeet Pradhan et al. Environmental Modelling & Software
  11. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) (2018)
    Haoyuan Hong, Junzhi Liu et al. CATENA
  12. Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan (2019)
    Jie Dou, Ali P. Yunus et al. Landslides
  13. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines (2015)
    Haoyuan Hong, Biswajeet Pradhan et al. CATENA
  14. Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment (2020)
    Dieu Tien Bui, Ngô Văn Liêm et al. CATENA
  15. A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area (2016)
    Dieu Tien Bui, Quang‐Thanh Bui et al. Agricultural and Forest Meteorology
  16. Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges (2019)
    Tien Dat Pham, Naoto Yokoya et al. Remote Sensing

Immediate Impact

7 from Science/Nature 155 standout
Sub-graph 1 of 15

Citing Papers

Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
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A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department
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Works of Dieu Tien Bui being referenced

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater
2020
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
2019 Standout

Author Peers

Author Last Decade Papers Cites
Dieu Tien Bui 15524 12916 3949 6055 269 27.9k
Saro Lee 12923 12674 1606 5013 224 20.8k
Hamid Reza Pourghasemi 15014 10863 1334 7527 260 23.6k
Binh Thai Pham 10832 8439 4466 4263 273 20.9k
Wei Chen 9410 8415 1329 3083 183 15.1k
Biswajeet Pradhan 31254 23823 3795 13711 796 54.2k
Himan Shahabi 8824 5791 1147 3273 143 12.9k
Haoyuan Hong 8647 7112 980 2136 99 12.4k
Fausto Guzzetti 12359 21409 3499 1168 206 23.6k
Thomas Blaschke 9573 4544 459 4952 257 20.4k
C.J. van Westen 7291 11760 2169 938 296 14.9k

All Works

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2026