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Environmental Sciences
Norway
2026
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Computer Science
Norway
2025

D-Index & Metrics

Environmental Sciences

D-Index
115
Citations
38098
World Ranking
162
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Environmental Sciences in Norway Leader Award
  • 2025 - Research.com Computer Science in Norway Leader Award
  • 2025 - Research.com Environmental Sciences in Norway Leader Award
  • 2022 - Research.com Computer Science in Norway Leader Award

Overview

Dieu Tien Bui is affiliated with the University of South-Eastern Norway. Their research primarily focuses on Environmental Science, with a significant emphasis on Global and Planetary Change, Environmental Engineering, Water Science and Technology, Civil and Structural Engineering, and Atmospheric Science as subfields of study.

Their scientific work addresses multiple topics including Flood Risk Assessment and Management, Hydrology and Watershed Management Studies, Landslides and Related Hazards, Hydrology and Drought Analysis, Groundwater and Watershed Analysis, Hydrological Forecasting Using Artificial Intelligence, and Soil Erosion and Sediment Transport.

Dieu Tien Bui has contributed to several publication venues, most notably Remote Sensing, Journal of Hydrology, The Science of The Total Environment, CATENA, and Scientific Reports. These journals frequently appear in their publication record, reflecting the scientist's integrated focus on environmental and hydrological research.

Among the recent papers associated with Dieu Tien Bui are:

  • Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment, 2020, CATENA
  • Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance, 2020, Earth-Science Reviews
  • Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology, 2020, Energy
  • Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran, 2020, Remote Sensing
  • Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India, 2020, The Science of The Total Environment

Dieu Tien Bui frequently collaborates with several researchers, including Alireza Arabameri, Viet-Ha Nhu, Phuong Thao Thi Ngo, Biswajeet Pradhan, and Pham Viet Hoa. These coauthors have appeared repeatedly in their scientific outputs, indicating ongoing partnerships in related research fields.

Their publication record also includes contributions to book chapters, notably within works published by Springer Nature, such as the Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining in 2020.

Best Publications

  • 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

    Dieu Tien Bui;Dieu Tien Bui;Tran Anh Tuan;Harald Klempe;Biswajeet Pradhan

  • Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

    Abdelaziz Merghadi;Ali P. Yunus;Jie Dou;Jie Dou;Jim Whiteley;Jim Whiteley

  • 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.

    Kennedy Were;Dieu Tien Bui;Øystein B. Dick;Bal Ram Singh

  • 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;Biswajeet Pradhan;Biswajeet Pradhan

  • A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

    Khabat Khosravi;Binh Thai Pham;Kamran Chapi;Ataollah Shirzadi

  • 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;M.B. Dholakia

  • A novel hybrid artificial intelligence approach for flood susceptibility assessment

    Kamran Chapi;Vijay P. Singh;Ataollah Shirzadi;Himan Shahabi

  • A comparative study of different machine learning methods for landslide susceptibility assessment

    Binh Thai Pham;Biswajeet Pradhan;Dieu Tien Bui;Indra Prakash

  • Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

    Dieu Tien Bui;Biswajeet Pradhan;Owe Lofman;Inge Revhaug

  • 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;Abdelaziz Merghadi

  • Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

    Haoyuan Hong;Haoyuan Hong;Junzhi Liu;Junzhi Liu;Dieu Tien Bui;Biswajeet Pradhan;Biswajeet Pradhan

  • Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

    Jie Dou;Ali P. Yunus;Dieu Tien Bui;Abdelaziz Merghadi

  • Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

    Haoyuan Hong;Biswajeet Pradhan;Chong Xu;Dieu Tien Bui

  • Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression

    Dieu Tien Bui;Owe Lofman;Inge Revhaug;Oystein Dick

  • Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS

    Dieu Tien Bui;Biswajeet Pradhan;Owe Lofman;Inge Revhaug

  • Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models

    Dieu Tien Bui;Dieu Tien Bui;Biswajeet Pradhan;Owe Lofman;Inge Revhaug

  • 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;Prakash Indra

  • Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

    Dieu Tien Bui;Paraskevas Tsangaratos;Viet-Tien Nguyen;Ngo Van Liem

  • 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;Biswajeet Pradhan;Haleh Nampak;Quang-Thanh Bui

  • A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area.

    Dieu Tien Bui;Nhat-Duc Hoang;Francisco Martínez-Álvarez;Phuong-Thao Thi Ngo

  • 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

    Dieu Tien Bui;Quang-Thanh Bui;Quoc-Phi Nguyen;Biswajeet Pradhan;Biswajeet Pradhan

Frequent Co-Authors

Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Nhat-Duc Hoang
Nhat-Duc Hoang Duy Tan University
Himan Shahabi
Himan Shahabi University of Kurdistan
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Indra Prakash
Indra Prakash Geological Survey of India
Hossein Moayedi
Hossein Moayedi Duy Tan University
Haoyuan Hong
Haoyuan Hong Nanjing University of Information Science and Technology
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization
Baharin Bin Ahmad
Baharin Bin Ahmad University of Technology Malaysia
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources

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