Sukky Jun

5.0k total citations · 2 hit papers
35 papers, 4.1k citations indexed

About

Sukky Jun is a scholar working on Mechanics of Materials, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Sukky Jun has authored 35 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanics of Materials, 14 papers in Computational Mechanics and 13 papers in Materials Chemistry. Recurrent topics in Sukky Jun's work include Numerical methods in engineering (13 papers), Fluid Dynamics Simulations and Interactions (8 papers) and Graphene research and applications (7 papers). Sukky Jun is often cited by papers focused on Numerical methods in engineering (13 papers), Fluid Dynamics Simulations and Interactions (8 papers) and Graphene research and applications (7 papers). Sukky Jun collaborates with scholars based in United States, South Korea and Philippines. Sukky Jun's co-authors include Wing Kam Liu, Yi Fei Zhang, Ted Belytschko, Shaofan Li, Sung Youb Kim, Seyoung Im, In‐Ho Lee, Changwen Mi, Demitris Kouris and Youngmin Lee and has published in prestigious journals such as Applied Physics Letters, Physical Review B and Journal of Computational Physics.

In The Last Decade

Sukky Jun

35 papers receiving 3.9k citations

Hit Papers

Reproducing kernel particle methods 1995 2026 2005 2015 1995 1995 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sukky Jun United States 18 3.3k 2.0k 1.3k 734 464 35 4.1k
Y. Krongauz United States 10 3.3k 1.0× 2.0k 1.0× 1.5k 1.2× 242 0.3× 546 1.2× 10 3.9k
D. Organ United States 7 3.0k 0.9× 1.7k 0.8× 1.4k 1.1× 223 0.3× 440 0.9× 7 3.4k
Dongdong Wang China 32 2.1k 0.6× 1.2k 0.6× 854 0.7× 745 1.0× 398 0.9× 160 3.1k
Michael J. Borden United States 15 3.1k 0.9× 2.4k 1.2× 559 0.4× 780 1.1× 249 0.5× 44 4.5k
Shaoping Xiao United States 22 1.6k 0.5× 819 0.4× 632 0.5× 1.8k 2.5× 303 0.7× 80 3.5k
Michael A. Epton United States 13 2.2k 0.7× 752 0.4× 1.4k 1.1× 209 0.3× 867 1.9× 24 2.9k
D. Y. Tzou United States 26 4.3k 1.3× 1.5k 0.7× 642 0.5× 2.0k 2.7× 233 0.5× 61 6.0k
I.V. Singh India 40 4.3k 1.3× 1.3k 0.7× 1.1k 0.9× 1.1k 1.5× 296 0.6× 247 5.5k
Giulio Ventura Italy 20 1.7k 0.5× 801 0.4× 733 0.6× 223 0.3× 378 0.8× 109 2.4k
Olaf Weckner United States 18 3.7k 1.2× 1.0k 0.5× 2.4k 1.9× 348 0.5× 1.2k 2.6× 32 3.9k

Countries citing papers authored by Sukky Jun

Since Specialization
Citations

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

Fields of papers citing papers by Sukky Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukky Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Sukky Jun. A scholar is included among the top collaborators of Sukky Jun 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 Sukky Jun. Sukky Jun 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.
Dumitrică, Traian, Suneel Kodambaka, & Sukky Jun. (2012). Synthesis, electromechanical characterization, and applications of graphene nanostructures. Journal of Nanophotonics. 6(1). 19901–19901. 2 indexed citations
3.
Jun, Sukky. (2008). Density-functional study of edge stress in graphene. Physical Review B. 78(7). 67 indexed citations
4.
Mi, Changwen, Sukky Jun, Demitris Kouris, & Sung Youb Kim. (2008). Atomistic calculations of interface elastic properties in noncoherent metallic bilayers. Physical Review B. 77(7). 113 indexed citations
5.
Kim, Sung Youb, In‐Ho Lee, & Sukky Jun. (2007). Action-Based Pathway Modeling for Atomic Surface Diffusion. International Journal for Multiscale Computational Engineering. 5(3-4). 273–286. 1 indexed citations
6.
Cho, Young‐Sam, et al.. (2006). A Quasicontinuum Method for Deformations of Carbon Nanotubes. Computer Modeling in Engineering & Sciences. 11(2). 61–72. 5 indexed citations
7.
Kim, Do Wan, Yongsik Kim, & Sukky Jun. (2006). COLLOCATION MESHFREE METHODS AS A FLOW SOLVER, WHAT WE ARE DONE WITH AND WHAT WE ARE DOING NOW. 1(2). 45–48. 2 indexed citations
8.
Lee, In Ho, Sukky Jun, Hanchul Kim, Seung Yeon Kim, & Jooyoung Lee. (2006). Exploring dynamic pathways by action-derived molecular dynamics. International Journal of Nanotechnology. 3(2/3). 334–334. 3 indexed citations
9.
Kim, Sung Youb, In‐Ho Lee, Sukky Jun, Youngmin Lee, & Seyoung Im. (2006). Coalescence and T-junction formation of carbon nanotubes: Action-derived molecular dynamics simulations. Physical Review B. 74(19). 8 indexed citations
10.
Jun, Sukky. (2004). Meshfree implementation for the real‐space electronic‐structure calculation of crystalline solids. International Journal for Numerical Methods in Engineering. 59(14). 1909–1923. 8 indexed citations
11.
Jun, Sukky, Youngmin Lee, Sung Youb Kim, & Seyoung Im. (2004). Large-scale molecular dynamics simulations of Al(111) nanoscratching. Nanotechnology. 15(9). 1169–1174. 66 indexed citations
12.
Jun, Sukky & Young‐Sam Cho. (2003). Deformation-induced bandgap tuning of 2D silicon-based photonic crystals. Optics Express. 11(21). 2769–2769. 11 indexed citations
13.
Jun, Sukky, Young‐Sam Cho, & Seyoung Im. (2003). Moving least-square method for the band-structure calculation of 2D photonic crystals. Optics Express. 11(6). 541–541. 18 indexed citations
14.
Jun, Sukky, Wing Kam Liu, & Ted Belytschko. (1998). Explicit Reproducing Kernel Particle Methods for large deformation problems. International Journal for Numerical Methods in Engineering. 41(1). 137–166. 102 indexed citations
15.
Liu, Wing Kam & Sukky Jun. (1998). Multiple-scale reproducing kernel particle methods for large deformation problems. International Journal for Numerical Methods in Engineering. 41(7). 1339–1362. 87 indexed citations
16.
Liu, Wing Kam, et al.. (1997). Multiresolution reproducing kernel particle method for computational fluid dynamics. International Journal for Numerical Methods in Fluids. 24(12). 1391–1415. 93 indexed citations
17.
Liu, Wing Kam, et al.. (1995). Reproducing kernel particle methods for structural dynamics. International Journal for Numerical Methods in Engineering. 38(10). 1655–1679. 677 indexed citations breakdown →
18.
Liu, Wing Kam, Sukky Jun, & Yi Fei Zhang. (1995). Reproducing kernel particle methods. International Journal for Numerical Methods in Fluids. 20(8-9). 1081–1106. 2295 indexed citations breakdown →
19.
Liu, Wing Kam, et al.. (1993). Reproducing Kernel Particle Methods for elastic and plastic problems. 175–189. 24 indexed citations
20.
Jun, Sukky & Iwona Jasiuk. (1993). Elastic moduli of two-dimensional composites with sliding inclusions—A comparison of effective medium theories. International Journal of Solids and Structures. 30(18). 2501–2523. 43 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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