Jaemin Shin

1.6k total citations
63 papers, 1.2k citations indexed

About

Jaemin Shin is a scholar working on Materials Chemistry, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Jaemin Shin has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 27 papers in Computational Mechanics and 13 papers in Computational Theory and Mathematics. Recurrent topics in Jaemin Shin's work include Solidification and crystal growth phenomena (27 papers), Advanced Mathematical Modeling in Engineering (12 papers) and Fluid Dynamics and Thin Films (12 papers). Jaemin Shin is often cited by papers focused on Solidification and crystal growth phenomena (27 papers), Advanced Mathematical Modeling in Engineering (12 papers) and Fluid Dynamics and Thin Films (12 papers). Jaemin Shin collaborates with scholars based in South Korea, United States and China. Jaemin Shin's co-authors include Junseok Kim, Hyun Geun Lee, June‐Yub Lee, Darae Jeong, Dongsun Lee, Yibao Li, Guntae Kim, Seunggyu Lee, Raymond J. Gorte and Gaël Corre and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Power Sources and Biochemical Journal.

In The Last Decade

Jaemin Shin

58 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Jaemin Shin 805 491 218 171 147 63 1.2k
Junxiang Yang 828 1.0× 642 1.3× 178 0.8× 168 1.0× 106 0.7× 125 1.1k
Robert Nürnberg 394 0.5× 847 1.7× 346 1.6× 89 0.5× 94 0.6× 81 1.4k
Björn Stinner 487 0.6× 261 0.5× 187 0.9× 277 1.6× 45 0.3× 21 921
Xufeng Xiao 376 0.5× 318 0.6× 150 0.7× 67 0.4× 122 0.8× 76 923
Raju R. Namburu 611 0.8× 203 0.4× 137 0.6× 57 0.3× 124 0.8× 74 1.2k
A. D. Solomon 268 0.3× 281 0.6× 125 0.6× 138 0.8× 88 0.6× 45 1.2k
V. Hlaváček 341 0.4× 451 0.9× 87 0.4× 77 0.5× 130 0.9× 112 1.6k
Zhi‐Hao Cao 237 0.3× 583 1.2× 517 2.4× 144 0.8× 261 1.8× 72 1.3k
David Andrš 1.1k 1.3× 214 0.4× 53 0.2× 947 5.5× 25 0.2× 33 1.7k

Countries citing papers authored by Jaemin Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jaemin Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaemin Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jaemin Shin. A scholar is included among the top collaborators of Jaemin Shin 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 Jaemin Shin. Jaemin Shin 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.
Shin, Jaemin & June‐Yub Lee. (2023). Energy-conserving successive multi-stage method for the linear wave equation with forcing terms. Journal of Computational Physics. 489. 112255–112255. 3 indexed citations
2.
Shin, Jaemin, Hyun Geun Lee, & June‐Yub Lee. (2021). Energy quadratization Runge–Kutta method for the modified phase field crystal equation. Modelling and Simulation in Materials Science and Engineering. 30(2). 24004–24004. 5 indexed citations
3.
Shin, Jaemin, et al.. (2021). Application of a Deep Neural Network to Phase Retrieval in Inverse Medium Scattering Problems. Computation. 9(5). 56–56. 2 indexed citations
4.
Shin, Jaemin & Hyun Geun Lee. (2021). A linear, high-order, and unconditionally energy stable scheme for the epitaxial thin film growth model without slope selection. Applied Numerical Mathematics. 163. 30–42. 12 indexed citations
5.
Lee, Hyun Geun, Jaemin Shin, & June‐Yub Lee. (2021). A High-Order and Unconditionally Energy Stable Scheme for the Conservative Allen–Cahn Equation with a Nonlocal Lagrange Multiplier. Journal of Scientific Computing. 90(1). 27 indexed citations
6.
Shin, Jaemin & June‐Yub Lee. (2019). An energy stable Runge–Kutta method for convex gradient problems. Journal of Computational and Applied Mathematics. 367. 112455–112455. 2 indexed citations
7.
Lee, Seunggyu & Jaemin Shin. (2018). Energy stable compact scheme for Cahn–Hilliard equation with periodic boundary condition. Computers & Mathematics with Applications. 77(1). 189–198. 21 indexed citations
8.
Kim, Junseok & Jaemin Shin. (2017). AN UNCONDITIONALLY GRADIENT STABLE NUMERICAL METHOD FOR THE OHTA-KAWASAKI MODEL. Bulletin of the Korean Mathematical Society. 54(1). 145–158. 6 indexed citations
9.
Kim, Dong-Ju, et al.. (2015). Comparison of optimization algorithms for modeling of Haldane-type growth kinetics during phenol and benzene degradation. Biochemical Engineering Journal. 106. 118–124. 6 indexed citations
10.
Lee, Hyun Geun, Jaemin Shin, & June‐Yub Lee. (2015). First and second order operator splitting methods for the phase field crystal equation. Journal of Computational Physics. 299. 82–91. 42 indexed citations
11.
Jeong, Darae, Jaemin Shin, Yibao Li, et al.. (2014). Numerical analysis of energy-minimizing wavelengths of equilibrium states for diblock copolymers. Current Applied Physics. 14(9). 1263–1272. 26 indexed citations
12.
Shin, Jaemin, Sungki Kim, Dongsun Lee, & Junseok Kim. (2013). A parallel multigrid method of the Cahn–Hilliard equation. Computational Materials Science. 71. 89–96. 17 indexed citations
13.
Li, Yibao, Darae Jeong, Jaemin Shin, & Junseok Kim. (2012). A conservative numerical method for the Cahn–Hilliard equation with Dirichlet boundary conditions in complex domains. Computers & Mathematics with Applications. 65(1). 102–115. 47 indexed citations
14.
Shin, Jaemin, Sungki Kim, Darae Jeong, et al.. (2012). Finite Element Analysis of Schwarz P Surface Pore Geometries for Tissue‐Engineered Scaffolds. Mathematical Problems in Engineering. 2012(1). 47 indexed citations
15.
Liu, Hailiang & Jaemin Shin. (2011). Global well-posedness for the microscopic FENE model with a sharp boundary condition. Journal of Differential Equations. 252(1). 641–662. 7 indexed citations
16.
Kim, Junseok, Joong Yeon Lim, Darae Jeong, et al.. (2010). SCHWARTZ P SURFACES FOR TISSUE SCAFFOLDS. 5(2). 149–152.
17.
Shin, Eui Seok, Jiyoung Park, Jaemin Shin, et al.. (2008). Catechin gallates are NADP+-competitive inhibitors of glucose-6-phosphate dehydrogenase and other enzymes that employ NADP+ as a coenzyme. Bioorganic & Medicinal Chemistry. 16(7). 3580–3586. 45 indexed citations
18.
Sacks, Paul & Jaemin Shin. (2008). Computational methods for some inverse scattering problems. Applied Mathematics and Computation. 207(1). 111–123. 5 indexed citations
19.
Greenwood, Garrison W., Jaemin Shin, Byung Kook Lee, & Gary B. Fogel. (2003). A survey of recent work on evolutionary approaches to the protein folding problem. 98. 488–495. 4 indexed citations
20.
Shin, Jaemin & Won‐Seok Oh. (1998). Study of Move Set in Cubic Lattice Model for Protein Folding. The Journal of Physical Chemistry B. 102(33). 6405–6412. 3 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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