Junseok Kim

10.7k total citations · 1 hit paper
454 papers, 8.4k citations indexed

About

Junseok Kim is a scholar working on Materials Chemistry, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Junseok Kim has authored 454 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 221 papers in Materials Chemistry, 191 papers in Computational Mechanics and 80 papers in Computational Theory and Mathematics. Recurrent topics in Junseok Kim's work include Solidification and crystal growth phenomena (215 papers), Fluid Dynamics and Thin Films (108 papers) and Advanced Mathematical Modeling in Engineering (77 papers). Junseok Kim is often cited by papers focused on Solidification and crystal growth phenomena (215 papers), Fluid Dynamics and Thin Films (108 papers) and Advanced Mathematical Modeling in Engineering (77 papers). Junseok Kim collaborates with scholars based in South Korea, China and United States. Junseok Kim's co-authors include Yibao Li, Hyun Geun Lee, Darae Jeong, Junxiang Yang, John Lowengrub, Yongho Choi, Jaemin Shin, Chaeyoung Lee, Kyungkeun Kang and Seunggyu Lee and has published in prestigious journals such as Nano Letters, Applied Physics Letters and PLoS ONE.

In The Last Decade

Junseok Kim

418 papers receiving 8.2k citations

Hit Papers

Phase-Field Models for Mu... 2012 2026 2016 2021 2012 100 200 300 400
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. Phase-Field Models for Multi-Component Fluid Flows
    2012 442 citations Junseok Kim profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junseok Kim 4.4k 4.1k 1.4k 961 941 454 8.4k
Charles M. Elliott 2.7k 0.6× 3.2k 0.8× 3.1k 2.2× 402 0.4× 424 0.5× 152 7.3k
Karen Willcox 2.0k 0.5× 3.1k 0.8× 1.6k 1.2× 1.6k 1.7× 1.3k 1.4× 252 15.1k
Steven M. Wise 3.9k 0.9× 3.0k 0.7× 1.8k 1.3× 931 1.0× 363 0.4× 104 6.7k
Yibao Li 2.0k 0.5× 1.3k 0.3× 613 0.4× 456 0.5× 476 0.5× 170 3.6k
Shaofan Li 2.9k 0.7× 3.5k 0.9× 453 0.3× 226 0.2× 1.5k 1.6× 328 11.8k
M. Ortíz 8.7k 2.0× 4.7k 1.2× 2.0k 1.4× 792 0.8× 4.5k 4.8× 399 25.4k
Michael Griebel 1.2k 0.3× 2.3k 0.6× 1.2k 0.9× 234 0.2× 492 0.5× 148 6.7k
Garth N. Wells 744 0.2× 2.2k 0.5× 988 0.7× 235 0.2× 583 0.6× 79 6.0k
Héctor Gómez 858 0.2× 2.1k 0.5× 605 0.4× 339 0.4× 446 0.5× 137 4.4k
Wing Kam Liu 6.3k 1.4× 9.8k 2.4× 1.8k 1.3× 676 0.7× 3.9k 4.2× 389 29.4k

Countries citing papers authored by Junseok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Junseok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junseok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Junseok Kim. A scholar is included among the top collaborators of Junseok Kim 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 Junseok Kim. Junseok Kim 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.
Wang, Jian, Ziwei Han, & Junseok Kim. (2024). An efficient and explicit local image inpainting method using the Allen–Cahn equation. Zeitschrift für angewandte Mathematik und Physik. 75(2). 8 indexed citations
2.
3.
Kim, Junseok. (2024). Influence of Fractional Order on the Behavior of a Normalized Time-Fractional SIR Model. Mathematics. 12(19). 3081–3081. 5 indexed citations
4.
Yang, Junxiang, et al.. (2024). The Allen–Cahn equation with a space-dependent mobility and a source term for general motion by mean curvature. Journal of Computational Science. 77. 102252–102252. 7 indexed citations
5.
Yang, Junxiang & Junseok Kim. (2024). Unconditionally maximum principle-preserving linear method for a mass-conserved Allen–Cahn model with local Lagrange multiplier. Communications in Nonlinear Science and Numerical Simulation. 139. 108327–108327. 7 indexed citations
6.
Kwak, Soobin, et al.. (2024). Positivity preserving and unconditionally stable numerical scheme for the three-dimensional modified Fisher–Kolmogorov–Petrovsky–Piskunov equation. Journal of Computational and Applied Mathematics. 457. 116273–116273.
7.
Jiang, Bing, Qing Xia, Junseok Kim, & Yibao Li. (2024). Efficient second-order accurate scheme for fluid–surfactant systems on curved surfaces with unconditional energy stability. Communications in Nonlinear Science and Numerical Simulation. 135. 108054–108054. 13 indexed citations
8.
Kim, Hyun‐Dong, et al.. (2024). Shape transformation on curved surfaces using a phase-field model. Communications in Nonlinear Science and Numerical Simulation. 133. 107956–107956. 10 indexed citations
9.
Ham, Seokjun, Yibao Li, Soobin Kwak, Darae Jeong, & Junseok Kim. (2024). An efficient and fast adaptive numerical method for a novel phase-field model of crystal growth. Communications in Nonlinear Science and Numerical Simulation. 131. 107822–107822. 6 indexed citations
10.
Xia, Qing, et al.. (2024). Design of the shell-infill structures using a phase field-based topology optimization method. Computer Methods in Applied Mechanics and Engineering. 429. 117138–117138. 15 indexed citations
11.
Jiang, Bing, et al.. (2024). On the phase-field algorithm for distinguishing connected regions in digital model. Engineering Analysis with Boundary Elements. 168. 105918–105918. 7 indexed citations
12.
Xia, Qing, et al.. (2024). Triply periodic minimal surfaces based topology optimization for the hydrodynamic and convective heat transfer. Communications in Nonlinear Science and Numerical Simulation. 131. 107819–107819. 20 indexed citations
13.
14.
Hwang, Youngjin, et al.. (2023). A simple and efficient numerical method for the Allen–Cahn equation on effective symmetric triangular meshes. Electronic Research Archive. 31(8). 4557–4578. 11 indexed citations
15.
Yang, Junxiang, Zhijun Tan, Jian Wang, & Junseok Kim. (2023). Modified diffuse interface fluid model and its consistent energy-stable computation in arbitrary domains. Journal of Computational Physics. 488. 112216–112216. 25 indexed citations
16.
Yang, Junxiang & Junseok Kim. (2023). Phase-field simulation of multiple fluid vesicles with a consistently energy-stable implicit–explicit method. Computer Methods in Applied Mechanics and Engineering. 417. 116403–116403. 15 indexed citations
17.
Hwang, Youngjin, et al.. (2023). Fast and efficient numerical method for solving the Allen–Cahn equation on the cubic surface. Mathematics and Computers in Simulation. 215. 338–356. 7 indexed citations
18.
Kim, Junseok, Zhijun Tan, & Junxiang Yang. (2023). Linear and conservative IMEX Runge–Kutta finite difference schemes with provable energy stability for the Cahn–Hilliard model in arbitrary domains. Computers & Mathematics with Applications. 143. 133–150. 5 indexed citations
19.
Ham, Seokjun & Junseok Kim. (2023). Stability analysis for a maximum principle preserving explicit scheme of the Allen–Cahn equation. Mathematics and Computers in Simulation. 207. 453–465. 23 indexed citations
20.

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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