Van-Duc Tran

711 total citations · 1 hit paper
16 papers, 533 citations indexed

About

Van-Duc Tran is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Van-Duc Tran has authored 16 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 5 papers in Mechanical Engineering and 2 papers in Ocean Engineering. Recurrent topics in Van-Duc Tran's work include Infrastructure Maintenance and Monitoring (10 papers), Asphalt Pavement Performance Evaluation (5 papers) and Concrete Corrosion and Durability (3 papers). Van-Duc Tran is often cited by papers focused on Infrastructure Maintenance and Monitoring (10 papers), Asphalt Pavement Performance Evaluation (5 papers) and Concrete Corrosion and Durability (3 papers). Van-Duc Tran collaborates with scholars based in Vietnam and Taiwan. Van-Duc Tran's co-authors include Nhat‐Duc Hoang, Quoc-Lam Nguyen, Thanh‐Canh Huynh, Xuan-Linh Tran, Kuan-Tsung Chang, Ngoc‐Mai Nguyen, Minh-Tu Cao and Anh-Nhat Nguyen and has published in prestigious journals such as Sensors, Sustainability and Automation in Construction.

In The Last Decade

Van-Duc Tran

15 papers receiving 511 citations

Hit Papers

Automatic recognition of asphalt pavement cracks using me... 2018 2026 2020 2023 2018 50 100 150 200 250
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. 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. Automation in Construction profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Van-Duc Tran Vietnam 9 436 117 68 60 39 16 533
Jingtao Zhong China 10 435 1.0× 99 0.8× 74 1.1× 45 0.8× 27 0.7× 21 502
Quoc-Lam Nguyen Vietnam 9 734 1.7× 162 1.4× 90 1.3× 72 1.2× 42 1.1× 12 881
Seungbo Shim South Korea 10 294 0.7× 73 0.6× 57 0.8× 45 0.8× 35 0.9× 25 358
Jiaxiu Dong China 13 378 0.9× 111 0.9× 115 1.7× 65 1.1× 35 0.9× 18 503
Arun K Mohan India 4 552 1.3× 150 1.3× 66 1.0× 61 1.0× 19 0.5× 8 679
Zhengchao Xu China 6 409 0.9× 103 0.9× 66 1.0× 42 0.7× 21 0.5× 9 483
Mark David Jenkins United Kingdom 11 372 0.9× 139 1.2× 52 0.8× 52 0.9× 16 0.4× 18 492
Xiaoming Huang China 11 407 0.9× 82 0.7× 53 0.8× 31 0.5× 21 0.5× 51 524
Di Jia China 12 380 0.9× 73 0.6× 36 0.5× 26 0.4× 27 0.7× 47 555

Countries citing papers authored by Van-Duc Tran

Since Specialization
Citations

This map shows the geographic impact of Van-Duc Tran'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 Van-Duc Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Van-Duc Tran more than expected).

Fields of papers citing papers by Van-Duc Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van-Duc Tran. 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 Van-Duc Tran. The network helps show where Van-Duc Tran may publish in the future.

Co-authorship network of co-authors of Van-Duc Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Van-Duc Tran. A scholar is included among the top collaborators of Van-Duc Tran 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 Van-Duc Tran. Van-Duc Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 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.
Hoang, Nhat‐Duc, Van-Duc Tran, & Thanh‐Canh Huynh. (2025). From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning. Sensors. 25(4). 1169–1169. 12 indexed citations
3.
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
4.
Nguyen, Anh-Nhat, et al.. (2024). Collision-Free Grasp Detection From Color and Depth Images. IEEE Transactions on Artificial Intelligence. 5(11). 5689–5698. 4 indexed citations
5.
Hoang, Nhat‐Duc, Van-Duc Tran, & Xuan-Linh Tran. (2023). Image processing-based classification of pavement fatigue severity using extremely randomized trees, deep neural network, and convolutional neural network. International Journal of Pavement Engineering. 24(1). 5 indexed citations
6.
7.
Hoang, Nhat‐Duc, Thanh‐Canh Huynh, Xuan-Linh Tran, & Van-Duc Tran. (2022). A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning. Advances in Civil Engineering. 2022(1). 29 indexed citations
8.
Tran, Van-Duc & Nhat‐Duc Hoang. (2022). A Neural Network-Based Asphalt Pavement Crack Classification Model Using Image Processing and Random Boosted Differential Flower Pollination. International Journal of Pavement Research and Technology. 17(3). 563–576. 6 indexed citations
9.
Cao, Minh-Tu, Kuan-Tsung Chang, Ngoc‐Mai Nguyen, et al.. (2021). Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach. Soft Computing. 25(20). 12839–12855. 38 indexed citations
10.
Hoang, Nhat‐Duc, Thanh‐Canh Huynh, & Van-Duc Tran. (2021). Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic. Complexity. 2021(1). 31 indexed citations
11.
Hoang, Nhat‐Duc, Thanh‐Canh Huynh, & Van-Duc Tran. (2021). Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach. Advances in Civil Engineering. 2021(1). 15 indexed citations
12.
Hoang, Nhat‐Duc & Van-Duc Tran. (2019). Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach. Computational Intelligence and Neuroscience. 2019. 1–13. 61 indexed citations
13.
Hoang, Nhat‐Duc, Quoc-Lam Nguyen, & Van-Duc Tran. (2018). Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network. Automation in Construction. 94. 203–213. 294 indexed citations breakdown →
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16.
Hoang, Nhat‐Duc, et al.. (2017). Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: A Comparative Study of Instance-Based and Neural Network Learning. Applied Computational Intelligence and Soft Computing. 2017. 1–11. 4 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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