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Nhat-Duc Hoang

Nhat-Duc Hoang

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Rising Stars
2025
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Computer Science
Vietnam
2026

D-Index & Metrics

Rising Stars

D-Index
45
Citations
5922
World Ranking
463
National Ranking
3

Computer Science

D-Index
48
Citations
6937
World Ranking
6261
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in Vietnam Leader Award
  • 2025 - Research.com Computer Science in Vietnam Leader Award
  • 2025 - Research.com Rising Stars Award

Overview

Nhat-Duc Hoang is affiliated with Duy Tan University in Vietnam and has contributed extensively to the fields of Engineering and Environmental Science, with a pronounced focus on Civil and Structural Engineering. Their research spans multiple subfields, including Global and Planetary Change, Environmental Engineering, Mechanical Engineering, and Atmospheric Science.

The main topics covered in their body of work include:

  • Infrastructure Maintenance and Monitoring
  • Innovative concrete reinforcement materials
  • Flood Risk Assessment and Management
  • Asphalt Pavement Performance Evaluation
  • Urban Heat Island Mitigation
  • Remote Sensing and Land Use
  • Concrete Corrosion and Durability

Nhat-Duc Hoang has authored several scientific papers in reputable venues. Notable recent publications include:

  • "Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity classification," 2023, published in Automation in Construction
  • "Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms," 2021, published in Geomatics Natural Hazards and Risk
  • "Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area," 2020, published in CATENA
  • "A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility," 2020, published in Forests
  • "Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches," 2020, published in Mathematical Problems in Engineering

Frequent publication venues for Nhat-Duc Hoang include:

  • Advances in Civil Engineering
  • Mathematical Problems in Engineering
  • Multiscale and Multidisciplinary Modeling Experiments and Design
  • Mathematics
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

The scientist often collaborates with several researchers in their field, including:

  • Xuan-Linh Tran
  • Thanh-Canh Huynh
  • Van-Duc Tran
  • Dieu Tien Bui
  • Minh-Tu Cao

Best Publications

  • 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

  • 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;Dieu Tien Bui;Tran Anh Tuan;Nhat Duc Hoang;Nguyen Quoc Thanh

  • A novel method for asphalt pavement crack classification based on image processing and machine learning

    Nhat-Duc Hoang;Quoc-Lam Nguyen

  • Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding

    Nhat Duc Hoang

  • Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam

    Dieu Tien Bui;Binh Thai Pham;Quoc Phi Nguyen;Nhat-Duc Hoang

  • An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extraction

    Nhat-Duc Hoang

  • Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network

    Dieu Tien Bui;Viet-Ha Nhu;Nhat-Duc Hoang

  • A novel fuzzy K -nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using GIS

    Dieu Tien Bui;Dieu Tien Bui;Quoc Phi Nguyen;Nhat-Duc Hoang;Harald Klempe

  • Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment

    Nhat-Duc Hoang;Anh-Duc Pham

  • A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data.

    Phuong-Thao Thi Ngo;Nhat-Duc Hoang;Biswajeet Pradhan;Biswajeet Pradhan;Quang Khanh Nguyen

  • Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

    Viet-Ha Nhu;Nhat-Duc Hoang;Hieu Nguyen;Phuong Thao Thi Ngo

  • Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony

    Nhat-Duc Hoang;Quoc-Lam Nguyen;Dieu Tien Bui

  • Predicting earthquake-induced soil liquefaction based on a hybridization of kernel Fisher discriminant analysis and a least squares support vector machine: a multi-dataset study

    Nhat-Duc Hoang;Dieu Tien Bui

  • Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression

    Anh-Duc Pham;Nhat-Duc Hoang;Quang-Trung Nguyen

  • Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam).

    Dieu Tien Bui;Dieu Tien Bui;Nhat-Duc Hoang;Pijush Samui

  • Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model

    Nhat-Duc Hoang;Anh-Duc Pham;Quoc-Lam Nguyen;Quang-Nhat Pham

  • Punching shear capacity estimation of FRP-reinforced concrete slabs using a hybrid machine learning approach

    Duy-Thang Vu;Nhat-Duc Hoang

  • A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

    Dieu Tien Bui;Himan Shahabi;Ataollah Shirzadi;Kamran Chapi

  • Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms

    Alireza Arabameri;Subodh Chandra Pal;Romulus Costache;Asish Saha

  • GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method

    Dieu Tien Bui;Hung Van Le;Nhat-Duc Hoang

  • Hybrid intelligence approach based on LS-SVM and Differential Evolution for construction cost index estimation: A Taiwan case study

    Min-Yuan Cheng;Nhat-Duc Hoang;Yu-Wei Wu

  • A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area

    Dieu Tien Bui;Nhat-Duc Hoang;Tien-Dat Pham;Phuong-Thao Thi Ngo

Frequent Co-Authors

Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Min-Yuan Cheng
Min-Yuan Cheng National Taiwan University of Science and Technology
Pijush Samui
Pijush Samui National Institute of Technology Patna
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Himan Shahabi
Himan Shahabi University of Kurdistan
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Baharin Bin Ahmad
Baharin Bin Ahmad University of Technology Malaysia
Xuan Song
Xuan Song University of Tokyo
Francisco Martínez-Álvarez
Francisco Martínez-Álvarez Pablo de Olavide University
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources

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