Van Quan Tran

3.4k total citations · 2 hit papers
62 papers, 2.6k citations indexed

About

Van Quan Tran is a scholar working on Civil and Structural Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Van Quan Tran has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Civil and Structural Engineering, 13 papers in Building and Construction and 11 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Van Quan Tran's work include Concrete and Cement Materials Research (19 papers), Innovative concrete reinforcement materials (19 papers) and Infrastructure Maintenance and Monitoring (18 papers). Van Quan Tran is often cited by papers focused on Concrete and Cement Materials Research (19 papers), Innovative concrete reinforcement materials (19 papers) and Infrastructure Maintenance and Monitoring (18 papers). Van Quan Tran collaborates with scholars based in Vietnam, France and Japan. Van Quan Tran's co-authors include Hai‐Bang Ly, Lanh Si Ho, Thuy‐Anh Nguyen, Binh Thai Pham, Hai‐Van Thi, Viet Quoc Dang, Quang Hung Nguyen, Nadhir Al‐Ansari, Tien-Thinh Le and Indra Prakash and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Cement and Concrete Research.

In The Last Decade

Van Quan Tran

62 papers receiving 2.5k citations

Hit Papers

Influence of Data Splitting on Performance of Machine Lea... 2021 2026 2022 2024 2021 2022 100 200 300 400
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. Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
    2021 429 citations Quang Hung Nguyen, Hai‐Bang Ly et al. Mathematical Problems in Engineering profile →
  2. Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach
    2022 262 citations Van Quan Tran, Lanh Si Ho et al. Construction and Building Materials profile →

Peers

Van Quan Tran
Ali Toghroli Iran
Mudassir Iqbal Pakistan
Majid Khorami Ecuador
Yimiao Huang China
Lanh Si Ho Vietnam
Tien-Thinh Le Vietnam
Peyman Mehrabi Australia
Emadaldin Mohammadi Golafshani Australia
Pijush Samui India
Yousef Zandi Iran
Ali Toghroli Iran
Van Quan Tran
Citations per year, relative to Van Quan Tran Van Quan Tran (= 1×) peers Ali Toghroli

Countries citing papers authored by Van Quan Tran

Since Specialization
Citations

This map shows the geographic impact of Van Quan 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 Quan 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 Quan Tran more than expected).

Fields of papers citing papers by Van Quan Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Van Quan Tran. A scholar is included among the top collaborators of Van Quan 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 Quan Tran. Van Quan Tran 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 Quan, et al.. (2025). Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms. PLoS ONE. 20(1). e0315955–e0315955. 13 indexed citations
2.
Nguyen, Long Hoang & Van Quan Tran. (2023). Data-driven approach for investigating and predicting rutting depth of asphalt concrete containing reclaimed asphalt pavement. Construction and Building Materials. 377. 131116–131116. 23 indexed citations
3.
Hilloulin, Benoît & Van Quan Tran. (2023). Interpretable machine learning model for autogenous shrinkage prediction of low-carbon cementitious materials. Construction and Building Materials. 396. 132343–132343. 22 indexed citations
4.
5.
Tran, Van Quan, et al.. (2022). Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach. BMC Infectious Diseases. 22(1). 655–655. 18 indexed citations
6.
Thi, Hai‐Van, Thuy‐Anh Nguyen, Hai‐Bang Ly, & Van Quan Tran. (2021). Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast‐Furnace Slag and Fly Ash. Advances in Materials Science and Engineering. 2021(1). 42 indexed citations
7.
Nguyen, Thuy‐Anh, Hai‐Bang Ly, Hai‐Van Thi, & Van Quan Tran. (2021). Using ANN to Estimate the Critical Buckling Load of Y Shaped Cross-Section Steel Columns. Scientific Programming. 2021. 1–8. 13 indexed citations
8.
Thi, Hai‐Van, Thuy‐Anh Nguyen, Hai‐Bang Ly, & Van Quan Tran. (2021). Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model. Advances in Civil Engineering. 2021(1). 67 indexed citations
9.
Nguyen, Thuy‐Anh, et al.. (2021). Prediction of daily and monthly rainfall using a backpropagation neural network. Journal of Applied Science and Engineering. 24(3). 367–379. 11 indexed citations
10.
Nguyen, Thuy‐Anh, Hai‐Bang Ly, Hai‐Van Thi, & Van Quan Tran. (2021). On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams. Complexity. 2021(1). 29 indexed citations
11.
Nguyen, Quang Hung, Hai‐Bang Ly, Lanh Si Ho, et al.. (2021). Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil. Mathematical Problems in Engineering. 2021. 1–15. 429 indexed citations breakdown →
12.
Pham, Binh Thai, T. Nguyen‐Thoi, Hai‐Bang Ly, et al.. (2020). Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination. Sustainability. 12(6). 2339–2339. 53 indexed citations
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Nguyen, Quang Hung, Hai‐Bang Ly, Van Quan Tran, et al.. (2020). A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns. Molecules. 25(15). 3486–3486. 34 indexed citations
16.
Nguyen, Thuy‐Anh, Hai‐Bang Ly, Hai‐Van Thi, & Van Quan Tran. (2020). Prediction of Later‐Age Concrete Compressive Strength Using Feedforward Neural Network. Advances in Materials Science and Engineering. 2020(1). 21 indexed citations
17.
Ly, Hai‐Bang & Van Quan Tran. (2020). Estimation Of Compressive Strength Of Concrete Containing Manufactured Sand By Random Forest. International journal of scientific and technology research. 9(4). 564–567. 1 indexed citations
18.
Ly, Hai‐Bang, Tien-Thinh Le, Huong-Lan Thi Vu, et al.. (2020). Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams. Sustainability. 12(7). 2709–2709. 71 indexed citations
19.
Ly, Hai‐Bang, Tien-Thinh Le, Lei Lü, et al.. (2019). Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams. Applied Sciences. 9(24). 5458–5458. 50 indexed citations
20.
Ly, Hai‐Bang, Lei Lü, Van Quan Tran, et al.. (2019). Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data. Sensors. 19(22). 4941–4941. 78 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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