Nhat‐Duc Hoang

7.7k total citations · 2 hit papers
137 papers, 6.1k citations indexed

About

Nhat‐Duc Hoang is a scholar working on Civil and Structural Engineering, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, Nhat‐Duc Hoang has authored 137 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Civil and Structural Engineering, 31 papers in Global and Planetary Change and 24 papers in Management, Monitoring, Policy and Law. Recurrent topics in Nhat‐Duc Hoang's work include Infrastructure Maintenance and Monitoring (53 papers), Flood Risk Assessment and Management (24 papers) and Landslides and related hazards (22 papers). Nhat‐Duc Hoang is often cited by papers focused on Infrastructure Maintenance and Monitoring (53 papers), Flood Risk Assessment and Management (24 papers) and Landslides and related hazards (22 papers). Nhat‐Duc Hoang collaborates with scholars based in Vietnam, Taiwan and Norway. Nhat‐Duc Hoang's co-authors include Dieu Tien Bui, Quoc-Lam Nguyen, Van-Duc Tran, Min‐Yuan Cheng, Anh‐Duc Pham, Xuan-Linh Tran, Pijush Samui, Viet‐Ha Nhu, Hieu Nguyen and Phuong Thao Thi Ngo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Nhat‐Duc Hoang

133 papers receiving 5.9k citations

Hit Papers

A novel deep learning neural network approach for predict... 2018 2026 2020 2023 2019 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
    2019 309 citations Nhat‐Duc Hoang, Francisco Martínez‐Álvarez et al. The Science of The Total Environment profile →
  2. Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
    2018 294 citations Nhat‐Duc Hoang, Quoc-Lam Nguyen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nhat‐Duc Hoang Vietnam 47 3.1k 1.6k 1.3k 696 665 137 6.1k
Hai‐Bang Ly Vietnam 40 2.9k 1.0× 1.0k 0.6× 621 0.5× 500 0.7× 515 0.8× 119 5.4k
Pijush Samui India 46 3.7k 1.2× 1.2k 0.8× 1.1k 0.9× 690 1.0× 1.8k 2.8× 245 7.0k
Hoang Nguyen Vietnam 56 3.0k 1.0× 1.2k 0.8× 1.3k 1.0× 1.9k 2.7× 1.4k 2.2× 158 8.5k
Işık Yılmaz Türkiye 32 1.8k 0.6× 1.2k 0.8× 2.5k 2.0× 964 1.4× 1.0k 1.6× 136 5.3k
Chongchong Qi China 50 4.9k 1.6× 481 0.3× 689 0.5× 939 1.3× 635 1.0× 156 7.4k
Hai‐Min Lyu China 34 1.8k 0.6× 1.3k 0.8× 446 0.4× 188 0.3× 1.1k 1.6× 64 4.3k
Shaojun Li China 46 2.3k 0.8× 1.9k 1.2× 3.0k 2.3× 678 1.0× 1.5k 2.3× 182 7.3k
Annan Zhou China 64 9.0k 2.9× 995 0.6× 2.0k 1.6× 1.0k 1.5× 2.9k 4.3× 385 13.7k
Ye‐Shuang Xu China 45 3.5k 1.1× 381 0.2× 766 0.6× 299 0.4× 2.1k 3.2× 98 5.3k
Akbar A. Javadi United Kingdom 43 3.4k 1.1× 212 0.1× 540 0.4× 529 0.8× 797 1.2× 259 6.1k

Countries citing papers authored by Nhat‐Duc Hoang

Since Specialization
Citations

This map shows the geographic impact of Nhat‐Duc Hoang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nhat‐Duc Hoang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nhat‐Duc Hoang more than expected).

Fields of papers citing papers by Nhat‐Duc Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nhat‐Duc Hoang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nhat‐Duc Hoang. The network helps show where Nhat‐Duc Hoang may publish in the future.

Co-authorship network of co-authors of Nhat‐Duc Hoang

This figure shows the co-authorship network connecting the top 25 collaborators of Nhat‐Duc Hoang. A scholar is included among the top collaborators of Nhat‐Duc Hoang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nhat‐Duc Hoang. Nhat‐Duc Hoang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tran, Van-Duc & Nhat‐Duc Hoang. (2025). Machine Learning Insight into the Cooling Intensity of Urban Blue-Green Spaces During Heatwaves. Sustainability. 17(21). 9824–9824.
2.
3.
Dang, Ngoc‐Loi, et al.. (2024). Enhancement of PZT-based damage detection in real-scale post-tensioned anchorage under ambient conditions. Journal of Constructional Steel Research. 220. 108841–108841. 3 indexed citations
4.
5.
Hoang, Nhat‐Duc, Van-Duc Tran, & Xuan-Linh Tran. (2024). Predicting Compressive Strength of High-Performance Concrete Using Hybridization of Nature-Inspired Metaheuristic and Gradient Boosting Machine. Mathematics. 12(8). 1267–1267. 10 indexed citations
6.
7.
Hoang, Nhat‐Duc, et al.. (2024). A Proof-of-Concept Study of Stability Monitoring of Implant Structure by Deep Learning of Local Vibrational Characteristics. Journal of Sensor and Actuator Networks. 13(5). 52–52. 1 indexed citations
8.
Hoang, Nhat‐Duc. (2024). Predicting tensile strength of steel fiber-reinforced concrete based on a novel differential evolution-optimized extreme gradient boosting machine. Neural Computing and Applications. 36(36). 22653–22676. 3 indexed citations
9.
Ho, Duc-Duy, Jeong‐Tae Kim, Nhat‐Duc Hoang, et al.. (2024). Structural Condition Assessment of Steel Anchorage Using Convolutional Neural Networks and Admittance Response. Buildings. 14(6). 1635–1635. 2 indexed citations
10.
Hoang, Nhat‐Duc & Quoc-Lam Nguyen. (2023). Compressive strength estimation of rice husk ash-blended high-strength concrete using diffGrad-optimized deep learning approach. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(3). 1953–1973. 1 indexed citations
11.
Hoang, Nhat‐Duc, et al.. (2023). Computer Vision-Based Severity Classification of Asphalt Pavement Raveling Using Advanced Gradient Boosting Machines and Lightweight Texture Descriptors. Iranian Journal of Science and Technology Transactions of Civil Engineering. 47(6). 4059–4073. 3 indexed citations
12.
Nhu, Viet‐Ha, Nhat‐Duc Hoang, Mahdis Amiri, et al.. (2021). An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas. Environmental Earth Sciences. 80(7). 1 indexed citations
13.
Cao, Minh-Tu, Nhat‐Duc Hoang, Viet‐Ha Nhu, & Dieu Tien Bui. (2020). An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength. Engineering With Computers. 38(3). 2185–2207. 26 indexed citations
14.
Nhu, Viet‐Ha, Nhat‐Duc Hoang, Hieu Nguyen, et al.. (2020). Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area. CATENA. 188. 104458–104458. 129 indexed citations
15.
Nhu, Viet‐Ha, Phuong Thao Thi Ngo, Tien Dat Pham, et al.. (2020). A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping. Remote Sensing. 12(17). 2688–2688. 64 indexed citations
16.
Samui, Pijush, Nhat‐Duc Hoang, Viet‐Ha Nhu, et al.. (2019). A New Approach of Hybrid Bee Colony Optimized Neural Computing to Estimate the Soil Compression Coefficient for a Housing Construction Project. Applied Sciences. 9(22). 4912–4912. 16 indexed citations
17.
Hoang, Nhat‐Duc, Francisco Martínez‐Álvarez, Phuong Thao Thi Ngo, et al.. (2019). A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area. The Science of The Total Environment. 701. 134413–134413. 309 indexed citations breakdown →
18.
Bui, Dieu Tien, Himan Shahabi, Ataollah Shirzadi, et al.. (2018). A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sensing. 10(10). 1538–1538. 93 indexed citations
19.
Hoang, Nhat‐Duc, et al.. (2014). An Artificial Intelligence Approach for Groutability Estimation Based on Autotuning Support Vector Machine. 2014. 1–9. 10 indexed citations
20.
Hoang, Nhat‐Duc, Anh‐Duc Pham, & Minh-Tu Cao. (2014). A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence. Applied Computational Intelligence and Soft Computing. 2014. 1–8. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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