S.K. Chung

546 citations
26 papers · 462 · h-index 11

Impact in

Papers in

S.K. Chung

25 papers receiving 447 citations

Peers

S.K. Chung
Comparison fields: 5 of 42
  • Modeling and Simulation 180
  • Numerical Analysis 216
  • Statistical and Nonlinear Physics 212
  • Mathematical Physics 54
  • Computational Mechanics 108
Replace Riccardo Fazio with:
Riccardo Fazio Italy
Abdülkadir Doğan Türkiye
Nuri Murat Yağmurlu Türkiye
Melvyn Ciment United States
Jaan Janno Estonia
V. V. Pukhnachov Russia
Natalia Kopteva Ireland
Dehao Yu China
Jianbo Cui China
Е. В. Радкевич Russia
S.K. Chung relative to Riccardo Fazio Italy Riccardo Fazio's profile →
Citations per field
00.5×4.3×
Riccardo Fazio · 1×
Citations per year

Countries citing papers authored by S.K. Chung

Since Specialization
Citations

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

Fields of papers citing papers by S.K. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.K. Chung. 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 S.K. Chung. The network helps show where S.K. Chung may publish in the future.

Co-authors

The 11 scholars most cited alongside S.K. Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.K. Chung Line = papers co-authored together S.K. Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199465
2 199860
3 199857
4 199852
5 200041
6 200437
7 200725
8 199722
9 200018
10 201216
11 200411
12 200310
13 20029
14 20028
15 19988
16
SPECTRAL ANALYSIS FOR HYPERBOLIC INTEGRO-DIFFERENTIAL EQUATIONS WITH A WEAKLY SINGULAR KERNEL
19984
17 20004
18 19983
19
On convergence of finite difference schemes fr generalized solutions of sobolev equations
19952
20 20162

About S.K. Chung

S.K. Chung is a scholar working on Numerical Analysis, Computational Mechanics, Modeling and Simulation, Materials Chemistry and Statistical and Nonlinear Physics, having authored 26 papers that have together received 462 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (17 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods for differential equations (10 papers), Fractional Differential Equations Solutions (6 papers), Solidification and crystal growth phenomena (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Nonlinear Waves and Solitons (4 papers) and Stability and Controllability of Differential Equations (3 papers). The work is most often cited by research in Modeling and Simulation (180 citations), Numerical Analysis (216 citations), Statistical and Nonlinear Physics (212 citations), Mathematical Physics (54 citations) and Computational Mechanics (108 citations). S.K. Chung has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Sang‐Mok Choo, Amiya K. Pani, Surendar Manickam, R. Kannan, Dong‐Gill Kim, Je G., Rajen Kumar Sinha, Jae‐Hak Lee, Young Jin Kim and Min Sik Choi. Their work appears in journals such as Computers & Mathematics with Applications, Applied Mathematics and Computation, Numerical Methods for Partial Differential Equations, Applied Numerical Mathematics and Abstract and Applied Analysis.

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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