Seunghye Lee

2.9k total citations · 1 hit paper
93 papers, 2.3k citations indexed

About

Seunghye Lee is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Seunghye Lee has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Civil and Structural Engineering, 15 papers in Mechanics of Materials and 11 papers in Mechanical Engineering. Recurrent topics in Seunghye Lee's work include Structural Analysis and Optimization (17 papers), Composite Structure Analysis and Optimization (12 papers) and Topology Optimization in Engineering (12 papers). Seunghye Lee is often cited by papers focused on Structural Analysis and Optimization (17 papers), Composite Structure Analysis and Optimization (12 papers) and Topology Optimization in Engineering (12 papers). Seunghye Lee collaborates with scholars based in South Korea, Vietnam and Australia. Seunghye Lee's co-authors include Jaehong Lee, Thuc P. Vo, Qui X. Lieu, Joo‐Won Kang, Ngoc-Hien Nguyen, H. Nguyen‐Xuan, Jung‐Hyun Lee, Jong Suk Lee, Joaquín Abellán García and Huu‐Tai Thai and has published in prestigious journals such as Advanced Materials, Renewable and Sustainable Energy Reviews and International Journal of Molecular Sciences.

In The Last Decade

Seunghye Lee

81 papers receiving 2.2k citations

Hit Papers

Efficient estimating comp... 2022 2026 2023 2024 2022 40 80 120
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. Efficient estimating compressive strength of ultra-high performance concrete using XGBoost model
    2022 129 citations Ngoc-Hien Nguyen, Joaquín Abellán García et al. Journal of Building Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seunghye Lee South Korea 26 1.2k 562 471 295 255 93 2.3k
Tuan Ngoc Nguyen Australia 25 1.3k 1.1× 914 1.6× 334 0.7× 700 2.4× 146 0.6× 60 3.1k
Shuai Li China 24 535 0.4× 222 0.4× 615 1.3× 222 0.8× 115 0.5× 145 1.9k
Sun We China 34 1.3k 1.1× 934 1.7× 1.8k 3.8× 100 0.3× 401 1.6× 285 3.9k
Ali Jamali Iran 25 524 0.4× 208 0.4× 621 1.3× 55 0.2× 137 0.5× 112 2.2k
Xiaoshan Lin Australia 34 2.2k 1.9× 384 0.7× 295 0.6× 1.1k 3.8× 157 0.6× 132 3.5k
Weichung Yeih Taiwan 26 980 0.8× 733 1.3× 126 0.3× 276 0.9× 92 0.4× 102 2.1k
Mohammadreza Koopialipoor Iran 42 2.8k 2.4× 1.5k 2.7× 1.1k 2.3× 404 1.4× 73 0.3× 60 4.0k
Kong Fah Tee United Kingdom 28 1.3k 1.1× 599 1.1× 1.1k 2.3× 333 1.1× 165 0.6× 193 3.1k
Yimin Zhang China 36 963 0.8× 1.4k 2.5× 2.6k 5.6× 202 0.7× 368 1.4× 329 5.2k
Kang Liu China 25 286 0.2× 125 0.2× 149 0.3× 204 0.7× 139 0.5× 113 2.0k

Countries citing papers authored by Seunghye Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seunghye Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seunghye Lee. 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 Seunghye Lee. The network helps show where Seunghye Lee may publish in the future.

Co-authorship network of co-authors of Seunghye Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seunghye Lee. A scholar is included among the top collaborators of Seunghye Lee 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 Seunghye Lee. Seunghye Lee 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
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Karamanlı, Armağan, Thuc P. Vo, Mohamed‐Ouejdi Belarbi, & Seunghye Lee. (2024). On the bending, buckling and free vibration analysis of bio-inspired helicoidal laminated composite shear and normal deformable beams. Composite Structures. 352. 118641–118641. 9 indexed citations
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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
5.
Nguyen, Nam V., et al.. (2024). An analyzer-surrogate-hybrid optimization framework for three-dimensional functionally graded material distribution. Computers & Structures. 302. 107472–107472. 4 indexed citations
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Lee, Seunghye, Qui X. Lieu, Thuc P. Vo, Joo‐Won Kang, & Jaehong Lee. (2023). Topology optimization using super-resolution image reconstruction methods. Advances in Engineering Software. 177. 103413–103413. 11 indexed citations
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Lee, Seunghye, et al.. (2023). A novel data-driven analysis for sequentially formulated plastic hinges of steel frames. Computers & Structures. 281. 107031–107031. 4 indexed citations
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Lee, Seunghye, Won‐Yong Oh, & Young Kyun Chang. (2023). What’s inside the Mind of a CEO? The Effects of Discretionary Slack Resources on R&D Investment. Behavioral Sciences. 13(3). 247–247. 1 indexed citations
11.
Nguyen, Ngoc-Hien, Joaquín Abellán García, Seunghye Lee, & Thuc P. Vo. (2023). From machine learning to semi-empirical formulas for estimating compressive strength of Ultra-High Performance Concrete. Expert Systems with Applications. 237. 121456–121456. 19 indexed citations
12.
Lee, Seunghye, Hye Jin Chung, Ha Nee Jang, et al.. (2023). 24,25-Dihydroxy Vitamin D and Vitamin D Metabolite Ratio as Biomarkers of Vitamin D in Chronic Kidney Disease. Nutrients. 15(3). 578–578. 8 indexed citations
13.
Lee, Seunghye, et al.. (2023). A damage-informed neural network framework for structural damage identification. Computers & Structures. 292. 107232–107232. 16 indexed citations
14.
Nguyen, Ngoc-Hien, et al.. (2022). Efficient estimating compressive strength of ultra-high performance concrete using XGBoost model. Journal of Building Engineering. 52. 104302–104302. 129 indexed citations breakdown →
15.
Kang, Hyuna, Jongbaek An, Hakpyeong Kim, et al.. (2021). Changes in energy consumption according to building use type under COVID-19 pandemic in South Korea. Renewable and Sustainable Energy Reviews. 148. 111294–111294. 91 indexed citations
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Lieu, Qui X., et al.. (2021). An adaptive surrogate model to structural reliability analysis using deep neural network. Expert Systems with Applications. 189. 116104–116104. 78 indexed citations
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Nguyen, Van‐Quang, et al.. (2020). An evolutionary hybrid optimization of MARS model in predicting settlement of shallow foundations on sandy soils. Geomechanics and Engineering. 21(6). 583–598. 10 indexed citations
18.
Bae, Eunjin, Jin Hyun Kim, Myeong Hee Jung, et al.. (2020). Paricalcitol Attenuates Contrast-Induced Acute Kidney Injury by Regulating Mitophagy and Senescence. Oxidative Medicine and Cellular Longevity. 2020. 1–13. 30 indexed citations
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Gu, Joung‐Eun, Seunghye Lee, Christopher M. Stafford, et al.. (2013). Molecular Layer‐by‐Layer Assembled Thin‐Film Composite Membranes for Water Desalination. Advanced Materials. 25(34). 4778–4782. 273 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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