Yong Han Kang
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 4
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems 17
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- Mathematical and Theoretical Epidemiology and Ecology Models 5
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- Advanced Mathematical Modeling in Engineering 22
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- Stability and Controllability of Differential Equations 30
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- Nonlinear Differential Equations Analysis 7
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- Differential Equations and Numerical Methods 4
- Numerical methods for differential equations 3
- Co-authors
- Il Hyo JungGul ZamanJong Yeoul ParkSun Hye ParkDae-Wook KimTae Gab HaChaeshin ChuYongkuk Kim
- Cited by
- Modeling and SimulationMathematical PhysicsPublic Health, Environmental and Occupational Health
- Partner nations
- South KoreaPakistanChina
In The Last Decade
Yong Han Kang
41 papers receiving 671 citations
Peers
Comparison fields: 5 of 75
- Modeling and Simulation 357
- Mathematical Physics 121
- Public Health, Environmental and Occupational Health 388
- Computational Theory and Mathematics 135
- Control and Systems Engineering 185
Countries citing papers authored by Yong Han Kang
This map shows the geographic impact of Yong Han Kang'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 Yong Han Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Han Kang more than expected).
Fields of papers citing papers by Yong Han Kang
This network shows the impact of papers produced by Yong Han Kang. 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 Yong Han Kang. The network helps show where Yong Han Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yong Han Kang, 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 | 2023 | 6 | |
| 3 | 2021 | 0 | |
| 4 | 2018 | 11 | |
| 5 | 2018 | 5 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 7 | |
| 8 | 2015 | 16 | |
| 9 | 2014 | 3 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 10 | |
| 12 | 2011 | 4 | |
| 13 | 2009 | 8 | |
| 14 | 2009 | 111 | |
| 15 | 2008 | 300 | |
| 16 | 2008 | 5 | |
| 17 | 2008 | 10 | |
| 18 | 2008 | 4 | |
| 19 | Optimal vaccination and treatment in the SIR epidemic model | 2007 | 12 |
| 20 | 2006 | 1 |
About Yong Han Kang
Yong Han Kang is a scholar working on Mathematical Physics, Modeling and Simulation and Computational Theory and Mathematics, having authored 44 papers that have together received 709 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (30 papers), Advanced Mathematical Modeling in Engineering (22 papers), Advanced Mathematical Physics Problems (17 papers), Nonlinear Differential Equations Analysis (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), COVID-19 epidemiological studies (4 papers), Differential Equations and Numerical Methods (4 papers) and Numerical methods for differential equations (3 papers). The work is most often cited by research in Modeling and Simulation (357 citations), Mathematical Physics (121 citations) and Public Health, Environmental and Occupational Health (388 citations). Yong Han Kang has collaborated with scholars based in South Korea, Pakistan and China. Frequent co-authors include Il Hyo Jung, Gul Zaman, Jong Yeoul Park, Sun Hye Park, Dae-Wook Kim, Tae Gab Ha, Chaeshin Chu, Yongkuk Kim, Kyeongah Nah and Sangil Kim.
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.