Thai Son Tran

539 total citations
13 papers, 384 citations indexed

About

Thai Son Tran is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thai Son Tran has authored 13 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 7 papers in Mechanical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thai Son Tran's work include Infrastructure Maintenance and Monitoring (8 papers), Asphalt Pavement Performance Evaluation (6 papers) and Non-Destructive Testing Techniques (5 papers). Thai Son Tran is often cited by papers focused on Infrastructure Maintenance and Monitoring (8 papers), Asphalt Pavement Performance Evaluation (6 papers) and Non-Destructive Testing Techniques (5 papers). Thai Son Tran collaborates with scholars based in South Korea, Vietnam and United States. Thai Son Tran's co-authors include Hyun Jong Lee, Nguyễn Cát Hồ, Witold Pedrycz, Ki Deok Kim, Jongeun Baek, Md. Jalil Piran, Dai Xuan Lu, Mofreh Saleh, Hyunwook Kim and Ha H. Bui and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Knowledge-Based Systems.

In The Last Decade

Thai Son Tran

13 papers receiving 366 citations

Peers

Thai Son Tran
Thai Son Tran
Citations per year, relative to Thai Son Tran Thai Son Tran (= 1×) peers Ivan Rizzo Guilherme

Countries citing papers authored by Thai Son Tran

Since Specialization
Citations

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

Fields of papers citing papers by Thai Son Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thai Son Tran

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

All Works

13 of 13 papers shown
1.
2.
Tran, Thai Son, et al.. (2023). Advanced crack detection and segmentation on bridge decks using deep learning. Construction and Building Materials. 400. 132839–132839. 61 indexed citations
3.
Lee, Hyun Jong, et al.. (2023). GAN–XGB–cavity: automated estimation of underground cavities’ properties using GPR data. Neural Computing and Applications. 35(25). 18357–18376. 2 indexed citations
4.
Tran, Thai Son, Boonchai Stitmannaithum, Linh Van Hong Bui, & Thanh‐Truong Nguyen. (2023). Data-driven prediction of the shear capacity of ETS-FRP-strengthened beams in the hybrid 2PKT–ML approach. Scientific Reports. 13(1). 19871–19871. 1 indexed citations
5.
Tran, Thai Son, et al.. (2023). Automated Segmentation and Deterioration Determination of Road Markings. Journal of Transportation Engineering Part B Pavements. 149(3). 4 indexed citations
6.
Tran, Thai Son, et al.. (2022). Development of an Automated and Integrated Algorithm in Determining Optimum Maintenance and Rehabilitation Strategies Considering Multilane Roadways. Transportation Research Record Journal of the Transportation Research Board. 2676(5). 806–819. 1 indexed citations
7.
Lee, Hyun Jong, et al.. (2022). New Approach in Determining Pay Adjustment Factors Based on Rutting Performance Modeling for Asphalt Pavements. Journal of Transportation Engineering Part B Pavements. 148(3). 1 indexed citations
8.
Tran, Thai Son, et al.. (2022). Deep Learning-Based Crack Detection: A Survey. International Journal of Pavement Research and Technology. 16(4). 943–967. 57 indexed citations
9.
Tran, Thai Son, et al.. (2021). Learning Spatio-temporal features to detect manipulated facial videos created by the Deepfake techniques. Forensic Science International Digital Investigation. 36. 301108–301108. 42 indexed citations
10.
Tran, Thai Son, et al.. (2020). A two-step sequential automated crack detection and severity classification process for asphalt pavements. International Journal of Pavement Engineering. 23(6). 2019–2033. 53 indexed citations
11.
Tran, Thai Son, et al.. (2020). One stage detector (RetinaNet)-based crack detection for asphalt pavements considering pavement distresses and surface objects. Journal of Civil Structural Health Monitoring. 11(1). 205–222. 67 indexed citations
12.
Hồ, Nguyễn Cát, et al.. (2014). Modeling of a semantics core of linguistic terms based on an extension of hedge algebra semantics and its application. Knowledge-Based Systems. 67. 244–262. 40 indexed citations
13.
Hồ, Nguyễn Cát, et al.. (2012). A genetic design of linguistic terms for fuzzy rule based classifiers. International Journal of Approximate Reasoning. 54(1). 1–21. 54 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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