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Nhat-Duc Hoang

Nhat-Duc Hoang

Duy Tan University
Vietnam

Award Badge
Rising Stars
2025
Award Badge
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
6262
National Ranking
3

Nhat-Duc Hoang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Nhat-Duc Hoang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Nhat-Duc Hoang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Nhat-Duc Hoang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

External Links

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Best Scientists Citing Nhat-Duc Hoang

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