Gun Jin Yun

3.8k total citations · 1 hit paper
153 papers, 3.0k citations indexed

About

Gun Jin Yun is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Materials Chemistry. According to data from OpenAlex, Gun Jin Yun has authored 153 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Mechanics of Materials, 58 papers in Civil and Structural Engineering and 41 papers in Materials Chemistry. Recurrent topics in Gun Jin Yun's work include Structural Health Monitoring Techniques (33 papers), Composite Material Mechanics (23 papers) and Mechanical Behavior of Composites (18 papers). Gun Jin Yun is often cited by papers focused on Structural Health Monitoring Techniques (33 papers), Composite Material Mechanics (23 papers) and Mechanical Behavior of Composites (18 papers). Gun Jin Yun collaborates with scholars based in South Korea, United States and China. Gun Jin Yun's co-authors include Amir H. Gandomi, Amir H. Alavi, Chanwook Park, Siamak Talatahari, Kang‐Hyun Lee, Hyoung Jun Lim, Xin‐She Yang, Ji‐Won Jung, Amr S. Elnashai and Mohammad Reza Rahimi and has published in prestigious journals such as Acta Materialia, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Gun Jin Yun

144 papers receiving 2.8k citations

Hit Papers

Chaos-enhanced accelerate... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gun Jin Yun South Korea 29 934 777 666 577 457 153 3.0k
Bo Yu China 29 1.2k 1.3× 390 0.5× 816 1.2× 660 1.1× 404 0.9× 110 2.9k
Kamran Behdinan Canada 39 1.6k 1.7× 1.6k 2.1× 1.5k 2.3× 910 1.6× 321 0.7× 257 4.9k
Miguel A. Bessa United States 20 677 0.7× 1.5k 2.0× 744 1.1× 452 0.8× 213 0.5× 45 2.5k
Zhiqian Zhang China 32 306 0.3× 707 0.9× 721 1.1× 400 0.7× 184 0.4× 114 2.8k
Yan Li China 26 304 0.3× 583 0.8× 1.1k 1.6× 375 0.6× 331 0.7× 237 2.7k
Rigoberto Burgueño United States 27 1.5k 1.6× 446 0.6× 826 1.2× 184 0.3× 559 1.2× 101 2.8k
Hui Li China 29 1.2k 1.3× 1.1k 1.5× 914 1.4× 293 0.5× 141 0.3× 245 3.0k
Khader M. Hamdia Germany 17 1.0k 1.1× 1.1k 1.5× 537 0.8× 508 0.9× 98 0.2× 24 2.7k
Marco Giglio Italy 36 1.8k 1.9× 2.3k 2.9× 1.6k 2.5× 1.3k 2.2× 331 0.7× 271 4.3k

Countries citing papers authored by Gun Jin Yun

Since Specialization
Citations

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

Fields of papers citing papers by Gun Jin Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gun Jin Yun. 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 Gun Jin Yun. The network helps show where Gun Jin Yun may publish in the future.

Co-authorship network of co-authors of Gun Jin Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Gun Jin Yun. A scholar is included among the top collaborators of Gun Jin Yun 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 Gun Jin Yun. Gun Jin Yun 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.
Kim, Jeong Hwan, et al.. (2025). Experimental investigation of freeze-thaw environmental effects on the fatigue life of CFRP composites. Polymer Testing. 143. 108702–108702. 3 indexed citations
3.
Yun, Gun Jin, et al.. (2025). Weight reduction of unmanned aircraft considering aerodynamic load uncertainties for reassessment of structural safety factors. Aerospace Science and Technology. 162. 110256–110256. 1 indexed citations
4.
Rajkamal, Anand, et al.. (2025). DFT and machine learning insights on the orbital dependence of single-metal sites on coordination environment for lithium-sulfur batteries. Journal of Energy Storage. 134. 118063–118063. 1 indexed citations
5.
Lee, Kyeongeun, et al.. (2025). Integrating charge decay dynamics into electrostatic filter modeling: a new framework for long-term filtration prediction. Separation and Purification Technology. 379. 134827–134827. 1 indexed citations
6.
Kwon, Suk Jin, et al.. (2025). Mechanisms of oxycarbide formation on ZrC, HfC, and TaC surfaces during early oxidation: Insights from computational simulations. Ceramics International. 51(11). 14755–14766. 4 indexed citations
8.
Kim, YunHo, et al.. (2024). Molecular dynamics-informed material point method for hypervelocity impact analysis. International Journal of Impact Engineering. 195. 105124–105124. 3 indexed citations
9.
Lee, Kang‐Hyun & Gun Jin Yun. (2024). Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling. npj Computational Materials. 10(1). 13 indexed citations
10.
Lee, Kang‐Hyun & Gun Jin Yun. (2024). Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs. Computer Methods in Applied Mechanics and Engineering. 423. 116876–116876. 8 indexed citations
11.
Schlögl, Sandra, et al.. (2024). Reprocessable carbon fiber vitrimer composites: Reclamation and reformatting of carbon fibers for second generation composite materials. Journal of Applied Polymer Science. 141(41). 1 indexed citations
12.
Lee, Kang‐Hyun, et al.. (2023). A defect detection framework using three-dimensional convolutional neural network (3D-CNN) with in-situ monitoring data in laser powder bed fusion process. Optics & Laser Technology. 165. 109571–109571. 16 indexed citations
13.
Yun, Gun Jin, et al.. (2023). A fully nonlinear three-dimensional dynamic frictional contact analysis method under large deformation with the area regularization. Engineering With Computers. 40(1). 399–421. 8 indexed citations
14.
Sharma, Harsh, Balaji Krishnakumar, Tarik Dickens, et al.. (2023). A bibliometric survey of research trends in vitrimer. Heliyon. 9(6). e17350–e17350. 9 indexed citations
15.
Lee, Kang‐Hyun, Hyoung Jun Lim, & Gun Jin Yun. (2023). A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models. Engineering Applications of Artificial Intelligence. 129. 107590–107590. 28 indexed citations
16.
Lee, Kang‐Hyun & Gun Jin Yun. (2021). Temperature thread multiscale finite element simulation of selective laser melting for the evaluation of process. Seoul National University Open Repository (Seoul National University). 8(1). 31–51. 4 indexed citations
17.
Lim, Hyoung Jun, et al.. (2020). Development of Artificial Intelligence Joint Model for Hybrid Finite Element Analysis. Journal of the Korean Society for Aeronautical & Space Sciences. 48(10). 773–782. 1 indexed citations
18.
Park, Chanwook, Ji‐Won Jung, & Gun Jin Yun. (2018). Interfacial Characterization of Mineralized Carbon Nanotubes. Composites Research. 31(5). 282–287. 1 indexed citations
19.
Yun, Gun Jin, et al.. (2016). Nondestructive Testing by Full-field Strains from Mechanoluminescent Sensors. Materials Evaluation. 74(6). 726–734. 2 indexed citations
20.
Yun, Gun Jin, et al.. (2012). Identification of Elasto-Plastic Constitutive Parameters by Self-Optimizing Inverse Method: Experimental Verifications. Cmc-computers Materials & Continua. 27(1). 55–72. 4 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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