Thang Le-Duc

632 citations
18 papers · 477 · h-index 13

Impact in

Papers in

Thang Le-Duc

18 papers receiving 463 citations

Peers

Thang Le-Duc
Comparison fields: 5 of 74
  • Civil and Structural Engineering 201
  • Computational Theory and Mathematics 91
  • Statistics, Probability and Uncertainty 38
  • Building and Construction 64
  • Architecture 7
Replace Kazuo Yonekura with:
Kazuo Yonekura Japan
Ayşe T. Daloğlu Türkiye
Pierluigi Della Vecchia Italy
Farhad Pourkamali‐Anaraki United States
Zenon Waszczyszyn Poland
Steffen Freitag Germany
Leonard Ziemiański Poland
W. M. Jenkins United Kingdom
Thang Le-Duc relative to Kazuo Yonekura Japan Kazuo Yonekura's profile →
Citations per field
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Kazuo Yonekura · 1×
Citations per year

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-authors

The 10 scholars most cited alongside Thang Le-Duc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thang Le-Duc Line = papers co-authored together Thang Le-Duc links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020144
2 201868
3 202056
4 201835
5 201827
6 202319
7 202318
8 201818
9 202417
10 201616
11 201813
12 202213
13 202312
14 20238
15 20187
16 20243
17 20242
18 20181

About Thang Le-Duc

Thang Le-Duc is a scholar working on Statistical and Nonlinear Physics, Civil and Structural Engineering, Mechanical Engineering, Computational Theory and Mathematics and Electronic, Optical and Magnetic Materials, having authored 18 papers that have together received 477 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (7 papers), Magnetic Properties and Applications (4 papers), Vibration Control and Rheological Fluids (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Topology Optimization in Engineering (3 papers), Probabilistic and Robust Engineering Design (3 papers), Wind and Air Flow Studies (2 papers) and Hydraulic and Pneumatic Systems (2 papers). The work is most often cited by research in Civil and Structural Engineering (201 citations), Computational Theory and Mathematics (91 citations), Statistics, Probability and Uncertainty (38 citations), Building and Construction (64 citations) and Architecture (7 citations). Thang Le-Duc has collaborated with scholars based in Vietnam, South Korea and Australia. Frequent co-authors include Quoc Hung Nguyen, H. Nguyen‐Xuan, Jaehong Lee, V. Ho-Huu, Dac-Khuong Bui, T. Nguyen‐Thoi, Tuan Ngo, T. Vo-Duy, Seunghye Lee and L. Le-Anh. Their work appears in journals such as Smart Materials and Structures, Finite Elements in Analysis and Design, Engineering Applications of Artificial Intelligence, Engineering With Computers and Information Sciences.

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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