Jae-Hun Jung
- Numerical Analysis top 10%
- Numerical methods for differential equations 5
- Applied Mathematics top 5%
- Mathematical Physics top 10%
- Numerical methods in inverse problems 6
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics 10
- Computational Fluid Dynamics and Aerodynamics 5
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- Numerical methods in engineering 8
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- Topological and Geometric Data Analysis 5
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- Meat and Animal Product Quality 5
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- Extracellular vesicles in disease 5
- Co-authors
- Bernie D. ShizgalYuna SeoDongwook KimSigal GottliebJangsun HwangHyunjin LeeHohyeon LeeHaemin Kim
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jae-Hun Jung
69 papers receiving 867 citations
Peers
Comparison fields: 5 of 114
- Numerical Analysis 79
- Applied Mathematics 109
- Mathematical Physics 65
- Computational Mechanics 136
- Statistical and Nonlinear Physics 79
Countries citing papers authored by Jae-Hun Jung
This map shows the geographic impact of Jae-Hun Jung'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-Hun Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Hun Jung more than expected).
Fields of papers citing papers by Jae-Hun Jung
This network shows the impact of papers produced by Jae-Hun Jung. 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-Hun Jung. The network helps show where Jae-Hun Jung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae-Hun Jung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2008 | 23 | |
| 15 | 2008 | 2 | |
| 16 | Study of Artificial Aging Procedure for Asphalt Mixtures | 2007 | 4 |
| 17 | Statistical Evaluation of Validity of KS Asphalt Penetration Grade System | 2006 | 1 |
| 18 | Optical properties and electronic structures in InAs/GaAs quantum dots | 2004 | 0 |
| 19 | 2004 | 46 | |
| 20 | 2003 | 76 |
About Jae-Hun Jung
Jae-Hun Jung is a scholar working on Numerical Analysis, Energy Engineering and Power Technology and Statistical and Nonlinear Physics, having authored 88 papers that have together received 921 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods in engineering (8 papers), Numerical methods in inverse problems (6 papers), Topological and Geometric Data Analysis (5 papers), Numerical methods for differential equations (5 papers), Meat and Animal Product Quality (5 papers), Extracellular vesicles in disease (5 papers) and Computational Fluid Dynamics and Aerodynamics (5 papers). The work is most often cited by research in Numerical Analysis (79 citations), Applied Mathematics (109 citations) and Mathematical Physics (65 citations). Jae-Hun Jung has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Bernie D. Shizgal, Yuna Seo, Dongwook Kim, Sigal Gottlieb, Jangsun Hwang, Hyunjin Lee, Hohyeon Lee, Haemin Kim, Chungmin Han and Jin Ho Chang. Their work appears in journals such as Advanced Materials, Applied Physics Letters and PLoS ONE.
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.