Seokjun Ham

44 papers receiving 331 citations

Peers

Seokjun Ham
Comparison fields: 5 of 52
  • Modeling and Simulation 58
  • Numerical Analysis 62
  • Computational Theory and Mathematics 77
  • Materials Chemistry 145
  • Computational Mechanics 60
Replace Soobin Kwak with:
Soobin Kwak South Korea
Sangkwon Kim South Korea
Costică Moroşanu Romania
Jiansong Zhang China
Rong-Pei Zhang China
Youhua Qian China
Francesco Solombrino Italy
Mohamed Ben-Romdhane United States
Maryam Parvizi Iran
Seokjun Ham relative to Soobin Kwak South Korea Soobin Kwak's profile →
Citations per field
00.5×1.5×
Soobin Kwak · 1×
Citations per year

Countries citing papers authored by Seokjun Ham

Since Specialization
Citations

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

Fields of papers citing papers by Seokjun Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Seokjun Ham, 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 Seokjun Ham Line = papers co-authored together Seokjun Ham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201243
2 202327
3 202321
4 202319
5 202417
6 202315
7 202314
8 202214
9 202311
10 202311
11 202310
12 20249
13 20249
14 20239
15 20249
16 20228
17 20228
18 20227
19 20246
20 20245

About Seokjun Ham

Seokjun Ham is a scholar working on Numerical Analysis, Modeling and Simulation, Computational Theory and Mathematics, Materials Chemistry and Computational Mechanics, having authored 55 papers that have together received 336 indexed citations. Recurring topics across this work include Solidification and crystal growth phenomena (30 papers), Advanced Mathematical Modeling in Engineering (17 papers), Differential Equations and Numerical Methods (14 papers), Aluminum Alloy Microstructure Properties (11 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Fractional Differential Equations Solutions (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers) and nanoparticles nucleation surface interactions (6 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Numerical Analysis (62 citations), Computational Theory and Mathematics (77 citations), Materials Chemistry (145 citations) and Computational Mechanics (60 citations). Seokjun Ham has collaborated with scholars based in South Korea, China and Macao. Frequent co-authors include Junseok Kim, Soobin Kwak, Youngjin Hwang, Chaeyoung Lee, Yibao Li, Sangkwon Kim, Mengxin Chen, Yongho Choi, Hyun Geun Lee and Junxiang Yang. Their work appears in journals such as AIP Advances, Computers & Mathematics with Applications, Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation and Computer Physics Communications.

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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