Jae-Hong Pyo

438 citations
18 papers · 357 indexed · h-index 8
Topics
Advanced Numerical Methods in Computational Mathematics (18 papers)Computational Fluid Dynamics and Aerodynamics (10 papers)Electromagnetic Simulation and Numerical Methods (5 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Jae-Hong Pyo

15 papers receiving 322 citations

Peers

Jae-Hong Pyo
Comparison fields: 5 of 33
  • Computational Mechanics 334
  • Numerical Analysis 103
  • Computational Theory and Mathematics 61
  • Materials Chemistry 52
  • Mechanics of Materials 35
Replace Chunjia Bi with:
Chunjia Bi China
Ayçıl Çeşmeli̇oğlu United States
Peng Zhu China
Sven Beuchler Germany
Neela Nataraj India
Bhupen Deka India
Serge Nicaise France
Martin Neumüller Austria
Dmitriy Leykekhman United States
Ahmed Naga United States
Jae-Hong Pyo relative to Chunjia Bi China Chunjia Bi's profile →
Citations per field
00.5×10×13×
Chunjia Bi · 1×
Citations per year

Countries citing papers authored by Jae-Hong Pyo

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Hong Pyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Hong Pyo. 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 Jae-Hong Pyo. The network helps show where Jae-Hong Pyo may publish in the future.

Co-authorship network of co-authors of Jae-Hong Pyo

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Hong Pyo. A scholar is included among the top collaborators of Jae-Hong Pyo 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 Jae-Hong Pyo. Jae-Hong Pyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 7
3 0
4 3
5
Error Estimates for The Second Order Semi-Discrete Stabilized Gauge-Uzawa Method For The Navier-Stokes Equations
20
6 6
7 1
8 9
9
A FINITE ELEMENT METHOD USING SINGULAR FUNCTIONS FOR HELMHOLTZ EQUATIONS: PART I
1
10 0
11 2
12 32
13 101
14
A Finite Element Gauge-Uzawa Method for the Evolution Navier-Stokes Equations
1
15 72
16 21
17 38
18 42

About Jae-Hong Pyo

Jae-Hong Pyo is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (18 papers), Computational Fluid Dynamics and Aerodynamics (10 papers) and Electromagnetic Simulation and Numerical Methods (5 papers). The work is most often cited by research in Numerical Analysis (103 citations), Computational Mechanics (334 citations) and Computational Theory and Mathematics (61 citations). Jae-Hong Pyo has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ricardo H. Nochetto, Jie Shen, Zhiqiang Cai, Jong‐Sik Lee and Shusen Xie. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical 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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