Eun‐Jae Park

1.9k total citations
111 papers, 1.4k citations indexed

About

Eun‐Jae Park is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Eun‐Jae Park has authored 111 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computational Mechanics, 45 papers in Computational Theory and Mathematics and 38 papers in Mechanics of Materials. Recurrent topics in Eun‐Jae Park's work include Advanced Numerical Methods in Computational Mathematics (78 papers), Advanced Mathematical Modeling in Engineering (43 papers) and Numerical methods in engineering (33 papers). Eun‐Jae Park is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (78 papers), Advanced Mathematical Modeling in Engineering (43 papers) and Numerical methods in engineering (33 papers). Eun‐Jae Park collaborates with scholars based in South Korea, United States and Italy. Eun‐Jae Park's co-authors include Lina Zhao, Mimmo Iannelli, Fabio Milner, Carsten Carstensen, Sebastian Aniţa, Eric T. Chung, Miyoung Kim, Oh In Kwon, Eung Je Woo and Jin Keun Seo and has published in prestigious journals such as Journal of Computational Physics, ACS Applied Materials & Interfaces and Optics Express.

In The Last Decade

Eun‐Jae Park

101 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun‐Jae Park South Korea 22 803 456 419 320 217 111 1.4k
Xiaoshen Wang United States 20 514 0.6× 322 0.7× 290 0.7× 195 0.6× 193 0.9× 72 997
Amiya K. Pani India 23 1.0k 1.3× 420 0.9× 611 1.5× 212 0.7× 783 3.6× 124 1.7k
Wei Gong China 13 355 0.4× 244 0.5× 170 0.4× 40 0.1× 134 0.6× 47 519
Marián Slodička Belgium 17 300 0.4× 283 0.6× 345 0.8× 178 0.6× 176 0.8× 128 1.0k
Michael Neilan United States 20 1.0k 1.3× 515 1.1× 348 0.8× 136 0.4× 280 1.3× 63 1.3k
Beatrice Paternoster Italy 23 295 0.4× 427 0.9× 62 0.1× 289 0.9× 1.2k 5.5× 112 1.5k
Dongyang Shi China 25 1.6k 2.0× 294 0.6× 1.0k 2.4× 377 1.2× 1.3k 6.1× 229 2.2k
Gabriel Acosta Argentina 14 322 0.4× 335 0.7× 259 0.6× 60 0.2× 182 0.8× 38 728
Danping Yang China 18 617 0.8× 249 0.5× 394 0.9× 138 0.4× 482 2.2× 88 1.0k
Svetozar Margenov Bulgaria 13 297 0.4× 248 0.5× 201 0.5× 70 0.2× 111 0.5× 92 558

Countries citing papers authored by Eun‐Jae Park

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Jae Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Jae Park. 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 Eun‐Jae Park. The network helps show where Eun‐Jae Park may publish in the future.

Co-authorship network of co-authors of Eun‐Jae Park

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Jae Park. A scholar is included among the top collaborators of Eun‐Jae Park 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 Eun‐Jae Park. Eun‐Jae Park 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.
Bak, Seon Gyeong, et al.. (2025). Effectiveness of Ethanol Extract of Rosa rugosa Thunb. on Ear Edema. Molecular Nutrition & Food Research. 69(21). e70214–e70214. 1 indexed citations
2.
3.
Park, Eun‐Jae, et al.. (2020). A LOCAL CONSERVATIVE MULTISCALE METHOD FOR ELLIPTIC PROBLEMS WITH OSCILLATING COEFFICIENTS. Journal of the Korea Society for Industrial and Applied Mathematics. 24(2). 215–227. 2 indexed citations
4.
Kim, Tae‐Yeon, Wen Jiang, Sungmun Lee, et al.. (2019). A Nitsche-type variational formulation for the shape deformation of a single component vesicle. Computer Methods in Applied Mechanics and Engineering. 359. 112661–112661. 2 indexed citations
5.
Zhao, Lina & Eun‐Jae Park. (2018). Fully computable bounds for a staggered discontinuous Galerkin method for the Stokes equations. Computers & Mathematics with Applications. 75(11). 4115–4134. 9 indexed citations
6.
Park, Eun‐Jae, et al.. (2017). Optimal error estimates for the pseudostress formulation of the Navier–Stokes equations. Applied Mathematics Letters. 78. 24–30. 3 indexed citations
7.
Park, Eun‐Jae, et al.. (2017). Analysis of multiscale mortar mixed approximation of nonlinear elliptic equations. Computers & Mathematics with Applications. 75(2). 401–418. 8 indexed citations
8.
Cai, Zhiqiang, et al.. (2015). Asymptotically exact a posteriori error estimators for first-order div least-squares methods in local and global L2 norm. Computers & Mathematics with Applications. 70(4). 648–659. 9 indexed citations
9.
Jeon, Yongho, Eun‐Jae Park, & Dongwoo Sheen. (2014). A hybridized finite element method for the Stokes problem. Computers & Mathematics with Applications. 68(12). 2222–2232. 12 indexed citations
10.
Cho, Sung Min, S. V. Nepomnyaschikh, & Eun‐Jae Park. (2014). Domain decomposition preconditioning for elliptic problems with jumps in coefficients. Computers & Mathematics with Applications. 68(12). 2292–2313. 1 indexed citations
11.
Shin, D. W., et al.. (2012). A PENALIZED UPWIND GCBE METHOD FOR CONVECTION-DIFFUSION-REACTION PROBLEMS. 7(2). 39–40. 1 indexed citations
12.
Rim, Donsub & Eun‐Jae Park. (2012). THE INF-SUP CONDITION FOR A HYBRID DISCONTINUOUS GALERKIN METHOD FOR ELLIPTIC PROBLEMS. 7(1). 349–349. 1 indexed citations
13.
Cho, Sung Min, Dongho Kim, Miyoung Kim, & Eun‐Jae Park. (2010). NUMERICAL DISCRETIZATION OF A POPULATION DIFFUSION EQUATION. Journal of the Korea Society for Industrial and Applied Mathematics. 14(3). 189–200. 3 indexed citations
14.
Park, Eun‐Jae, et al.. (2010). A posteriori error estimators for the first-order least-squares finite element method. Journal of Computational and Applied Mathematics. 235(1). 293–300. 7 indexed citations
15.
Park, Eun‐Jae, et al.. (2006). Primal mixed finite-element approximation of elliptic equations with gradient nonlinearities. Computers & Mathematics with Applications. 51(5). 793–804. 5 indexed citations
16.
Park, Eun‐Jae, et al.. (2005). SUPERCONVERGENCE OF CRANK-NICOLSON MIXED FINITE ELEMENT SOLUTION OF PARABOLIC PROBLEMS. Korean Journal of Mathematics. 13(2). 139–148. 2 indexed citations
17.
Park, Eun‐Jae, et al.. (2000). Mixed finite element domain decomposition for nonlinear parabolic problems. Computers & Mathematics with Applications. 40(8-9). 1061–1070. 9 indexed citations
18.
Park, Eun‐Jae & Mi Young Kim. (1996). A time discretization for mixed approximation for generalized Forchheimer flow in porous media. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 76. 493–494. 2 indexed citations
19.
Milner, Fabio & Eun‐Jae Park. (1995). A Mixed Finite Element Method for a Strongly Nonlinear Second-Order Elliptic Problem. Mathematics of Computation. 64(211). 973–973. 33 indexed citations
20.
Milner, Fabio & Eun‐Jae Park. (1995). A mixed finite element method for a strongly nonlinear second-order elliptic problem. Mathematics of Computation. 64(211). 973–988. 32 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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