Tien-Thinh Le

4.1k total citations · 1 hit paper
70 papers, 3.0k citations indexed

About

Tien-Thinh Le is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Tien-Thinh Le has authored 70 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Civil and Structural Engineering, 16 papers in Mechanical Engineering and 15 papers in Mechanics of Materials. Recurrent topics in Tien-Thinh Le's work include Structural Load-Bearing Analysis (18 papers), Structural Behavior of Reinforced Concrete (13 papers) and Structural Engineering and Vibration Analysis (12 papers). Tien-Thinh Le is often cited by papers focused on Structural Load-Bearing Analysis (18 papers), Structural Behavior of Reinforced Concrete (13 papers) and Structural Engineering and Vibration Analysis (12 papers). Tien-Thinh Le collaborates with scholars based in Vietnam, France and Greece. Tien-Thinh Le's co-authors include Hai‐Bang Ly, Binh Thai Pham, Lei Lü, Vuong Minh Le, Dong Van Dao, Panagiotis G. Asteris, Minh Vuong Le, Minas E. Lemonis, Van Quan Tran and Son Hoang Trinh and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

In The Last Decade

Tien-Thinh Le

69 papers receiving 2.9k citations

Hit Papers

Artificial Intelligence Approaches for Prediction of Comp... 2019 2026 2021 2023 2019 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. Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete
    2019 281 citations Dong Van Dao, Hai‐Bang Ly et al. Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tien-Thinh Le Vietnam 34 2.1k 742 424 359 245 70 3.0k
Jong Wan Hu South Korea 30 2.4k 1.2× 929 1.3× 580 1.4× 318 0.9× 238 1.0× 272 3.8k
Ahmad Safuan A. Rashid Malaysia 38 2.9k 1.4× 702 0.9× 545 1.3× 294 0.8× 595 2.4× 155 4.5k
Zainah Ibrahim Malaysia 33 2.7k 1.3× 1.2k 1.6× 462 1.1× 389 1.1× 206 0.8× 166 3.8k
Pijush Samui India 29 1.9k 0.9× 548 0.7× 259 0.6× 183 0.5× 154 0.6× 91 2.6k
Abdülkadir Çevik Türkiye 34 2.8k 1.3× 1.0k 1.4× 382 0.9× 385 1.1× 141 0.6× 107 3.3k
Van Quan Tran Vietnam 27 1.7k 0.8× 599 0.8× 200 0.5× 130 0.4× 158 0.6× 62 2.6k
Jong‐Su Jeon South Korea 35 4.2k 2.0× 1.4k 1.8× 312 0.7× 166 0.5× 199 0.8× 117 4.9k
Peyman Mehrabi Australia 23 1.3k 0.6× 690 0.9× 216 0.5× 399 1.1× 164 0.7× 27 1.9k
Junrui Chai China 28 1.7k 0.8× 445 0.6× 298 0.7× 506 1.4× 457 1.9× 161 2.6k

Countries citing papers authored by Tien-Thinh Le

Since Specialization
Citations

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

Fields of papers citing papers by Tien-Thinh Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tien-Thinh Le. 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 Tien-Thinh Le. The network helps show where Tien-Thinh Le may publish in the future.

Co-authorship network of co-authors of Tien-Thinh Le

This figure shows the co-authorship network connecting the top 25 collaborators of Tien-Thinh Le. A scholar is included among the top collaborators of Tien-Thinh Le 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 Tien-Thinh Le. Tien-Thinh Le 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.
Le, Tien-Thinh, et al.. (2024). Predicting surface roughness in machining aluminum alloys taking into account material properties. International Journal of Computer Integrated Manufacturing. 38(4). 555–576. 4 indexed citations
2.
Le, Tien-Thinh, et al.. (2024). Simulation-based study of the influence of particle physical properties on fertilizer spreading ability. Computers and Electronics in Agriculture. 229. 109753–109753. 2 indexed citations
3.
Le, Tien-Thinh, et al.. (2024). Large language models in cancer: potentials, risks, and safeguards. PubMed. 2(1). ubae019–ubae019. 4 indexed citations
4.
Le, Tien-Thinh, et al.. (2023). Bending analysis of FGSP nanoplate resting on elastic foundation by using nonlocal quasi-3D theory. Thin-Walled Structures. 196. 111510–111510. 10 indexed citations
5.
Ho, Nang Xuan, Tien-Thinh Le, & Minh Vuong Le. (2021). Development of artificial intelligence based model for the prediction of Young’s modulus of polymer/carbon-nanotubes composites. Mechanics of Advanced Materials and Structures. 29(27). 5965–5978. 31 indexed citations
6.
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
7.
8.
Dao, Dong Van, Hojjat Adeli, Hai‐Bang Ly, et al.. (2020). A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation. Sustainability. 12(3). 830–830. 173 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
12.
Ly, Hai‐Bang, Binh Thai Pham, Lei Lü, et al.. (2020). Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models. Neural Computing and Applications. 33(8). 3437–3458. 109 indexed citations
13.
Le, Tien-Thinh & Hieu Chi Phan. (2020). Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method. Advances in Civil Engineering. 2020(1). 32 indexed citations
14.
Lü, Lei, et al.. (2019). Development and Identification of Working Parameters for a Lychee Peeling Machine Combining Rollers and a Pressing Belt. AgriEngineering. 1(4). 550–566. 5 indexed citations
15.
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
16.
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
17.
Ly, Hai‐Bang, Christophe Desceliers, Lei Lü, et al.. (2019). Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials. Materials. 12(11). 1828–1828. 42 indexed citations
18.
Lü, Lei, Hai‐Bang Ly, Binh Thai Pham, et al.. (2019). Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression. Materials. 12(10). 1670–1670. 75 indexed citations
19.
Ly, Hai‐Bang, Binh Thai Pham, Dong Van Dao, et al.. (2019). Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete. Applied Sciences. 9(18). 3841–3841. 85 indexed citations
20.
Pham, Binh Thai, Lê Hoàng Sơn, Thang Trung Nguyen, et al.. (2019). Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction. Applied Sciences. 9(21). 4715–4715. 65 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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