Thang Le-Duc

632 total citations
18 papers, 477 citations indexed

About

Thang Le-Duc is a scholar working on Statistical and Nonlinear Physics, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Thang Le-Duc has authored 18 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 6 papers in Civil and Structural Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Thang Le-Duc's work include Model Reduction and Neural Networks (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Vibration Control and Rheological Fluids (4 papers). Thang Le-Duc is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Vibration Control and Rheological Fluids (4 papers). Thang Le-Duc collaborates with scholars based in Vietnam, South Korea and Australia. Thang Le-Duc's co-authors include Quoc Hung Nguyen, H. Nguyen‐Xuan, Jaehong Lee, V. Ho-Huu, Dac-Khuong Bui, Tuan Ngo, T. Nguyen‐Thoi, T. Vo-Duy, Seunghye Lee and L. Le-Anh and has published in prestigious journals such as Expert Systems with Applications, Energy and Information Sciences.

In The Last Decade

Thang Le-Duc

18 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thang Le-Duc Vietnam 13 201 92 91 79 64 18 477
Farhad Pourkamali‐Anaraki United States 12 190 0.9× 83 0.9× 28 0.3× 59 0.7× 23 0.4× 38 468
Steffen Freitag Germany 17 558 2.8× 59 0.6× 35 0.4× 108 1.4× 71 1.1× 64 824
Kazuo Yonekura Japan 13 109 0.5× 17 0.2× 96 1.1× 101 1.3× 26 0.4× 35 399
Zenon Waszczyszyn Poland 13 406 2.0× 66 0.7× 38 0.4× 176 2.2× 52 0.8× 52 644
Sawekchai Tangaramvong Australia 17 625 3.1× 27 0.3× 174 1.9× 64 0.8× 178 2.8× 77 887
Ayşe T. Daloğlu Türkiye 15 509 2.5× 94 1.0× 147 1.6× 104 1.3× 83 1.3× 66 800
Leonard Ziemiański Poland 10 306 1.5× 30 0.3× 35 0.4× 142 1.8× 39 0.6× 39 471
F.A. DiazDelaO United Kingdom 12 206 1.0× 16 0.2× 63 0.7× 54 0.7× 52 0.8× 29 385

Countries citing papers authored by Thang Le-Duc

Since Specialization
Citations

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

Fields of papers citing papers by Thang Le-Duc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thang Le-Duc

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

All Works

18 of 18 papers shown
1.
Le-Duc, Thang, et al.. (2024). On the Gauss–Legendre quadrature rule of deep energy method for one-dimensional problems in solid mechanics. Finite Elements in Analysis and Design. 242. 104248–104248. 2 indexed citations
2.
Le-Duc, Thang, Seunghye Lee, H. Nguyen‐Xuan, & Jaehong Lee. (2024). A hierarchically normalized physics-informed neural network for solving differential equations: Application for solid mechanics problems. Engineering Applications of Artificial Intelligence. 133. 108400–108400. 17 indexed citations
3.
Le-Duc, Thang, et al.. (2024). A novel normalized reduced-order physics-informed neural network for solving inverse problems. Engineering With Computers. 40(5). 3253–3272. 3 indexed citations
4.
Le-Duc, Thang, et al.. (2023). Automatically imposing boundary conditions for boundary value problems by unified physics-informed neural network. Engineering With Computers. 40(3). 1717–1739. 12 indexed citations
5.
Le-Duc, Thang, et al.. (2023). Deep reduced-order least-square method—A parallel neural network structure for solving beam problems. Thin-Walled Structures. 191. 111044–111044. 18 indexed citations
6.
Le-Duc, Thang, H. Nguyen‐Xuan, & Jaehong Lee. (2023). A finite-element-informed neural network for parametric simulation in structural mechanics. Finite Elements in Analysis and Design. 217. 103904–103904. 19 indexed citations
7.
Le-Duc, Thang, H. Nguyen‐Xuan, & Jaehong Lee. (2023). Sequential motion optimization with short-term adaptive moment estimation for deep learning problems. Engineering Applications of Artificial Intelligence. 129. 107593–107593. 8 indexed citations
8.
Le-Duc, Thang, Quoc Hung Nguyen, Jaehong Lee, & H. Nguyen‐Xuan. (2022). Strengthening Gradient Descent by Sequential Motion Optimization for Deep Neural Networks. IEEE Transactions on Evolutionary Computation. 27(3). 565–579. 13 indexed citations
9.
Le-Duc, Thang, Quoc Hung Nguyen, & H. Nguyen‐Xuan. (2020). Balancing composite motion optimization. Information Sciences. 520. 250–270. 144 indexed citations
10.
11.
Le-Duc, Thang & Quoc Hung Nguyen. (2018). Aerodynamic Optimal Design for Horizontal Axis Wind Turbine Airfoil Using Integrated Optimization Method. International Journal of Computational Methods. 16(8). 1841004–1841004. 7 indexed citations
12.
Le-Duc, Thang, et al.. (2018). Development of magneto-rheologial fluid (MRF) based clutch for output torque control of AC motors. 215. 19–19. 1 indexed citations
13.
Le-Duc, Thang, et al.. (2018). Development of a new magnetorheological fluid–based brake with multiple coils placed on the side housings. Journal of Intelligent Material Systems and Structures. 30(5). 734–748. 27 indexed citations
14.
Le-Duc, Thang, V. Ho-Huu, & Quoc Hung Nguyen. (2018). Multi-objective optimal design of magnetorheological brakes for motorcycling application considering thermal effect in working process. Smart Materials and Structures. 27(7). 75060–75060. 18 indexed citations
15.
Ho-Huu, V., Thang Le-Duc, L. Le-Anh, T. Vo-Duy, & T. Nguyen‐Thoi. (2018). A global single-loop deterministic approach for reliability-based design optimization of truss structures with continuous and discrete design variables. Engineering Optimization. 50(12). 2071–2090. 13 indexed citations
16.
Le-Duc, Thang, Dac-Khuong Bui, Tuan Ngo, Quoc Hung Nguyen, & H. Nguyen‐Xuan. (2018). A novel hybrid method combining electromagnetism-like mechanism and firefly algorithms for constrained design optimization of discrete truss structures. Computers & Structures. 212. 20–42. 68 indexed citations
17.
18.
Le-Duc, Thang, V. Ho-Huu, T. Nguyen‐Thoi, & Quoc Hung Nguyen. (2016). A new design approach based on differential evolution algorithm for geometric optimization of magnetorheological brakes. Smart Materials and Structures. 25(12). 125020–125020. 16 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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2026