Sudo Yi
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
- Theoretical and Computational Physics
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- Magnetic properties of thin films
Papers in
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- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 3
- Advanced Thermodynamics and Statistical Mechanics 1
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- Theoretical and Computational Physics 3
- Advanced Condensed Matter Physics 1
- Co-authors
- Shigeki Onoda (1 shared paper)Jung Hoon Han (1 shared paper)Naoto Nagaosa (1 shared paper)Beom Jun Kim (6 shared papers)Seung Ki Baek (4 shared papers)Chen-Ping Zhu (1 shared paper)Deok‐Sun Lee (1 shared paper)Petter Minnhagen (1 shared paper)
- Journals
- Physical Review B (2 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)Computer Physics Communications (1 paper)New Journal of Physics (1 paper)Journal of Statistical Mechanics Theory and Experiment (1 paper)
- Partner nations
- South KoreaSwedenChina
In The Last Decade
Sudo Yi
9 papers receiving 335 citations
Peers
Comparison fields: 5 of 44
- Condensed Matter Physics 218
- Atomic and Molecular Physics, and Optics 272
- Electronic, Optical and Magnetic Materials 131
- Statistical and Nonlinear Physics 38
- Mathematical Physics 11
Countries citing papers authored by Sudo Yi
This map shows the geographic impact of Sudo Yi'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 Sudo Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudo Yi more than expected).
Fields of papers citing papers by Sudo Yi
This network shows the impact of papers produced by Sudo Yi. 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 Sudo Yi. The network helps show where Sudo Yi may publish in the future.
Co-authors
The 9 scholars most cited alongside Sudo Yi, 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 | 2009 | 286 | |
| 2 | 2013 | 22 | |
| 3 | 2012 | 9 | |
| 4 | 2008 | 9 | |
| 5 | 2011 | 6 | |
| 6 | 2022 | 3 | |
| 7 | 2012 | 3 | |
| 8 | 2013 | 2 | |
| 9 | 2022 | 1 |
About Sudo Yi
Sudo Yi is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Mathematical Physics, Biomedical Engineering and Computer Networks and Communications, having authored 9 papers that have together received 341 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Theoretical and Computational Physics (3 papers), Opinion Dynamics and Social Influence (3 papers), Stochastic processes and statistical mechanics (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Advanced Condensed Matter Physics (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Condensed Matter Physics (218 citations), Atomic and Molecular Physics, and Optics (272 citations), Electronic, Optical and Magnetic Materials (131 citations), Statistical and Nonlinear Physics (38 citations) and Mathematical Physics (11 citations). Sudo Yi has collaborated with scholars based in South Korea, Sweden and China. Frequent co-authors include Shigeki Onoda, Jung Hoon Han, Naoto Nagaosa, Beom Jun Kim, Seung Ki Baek, Chen-Ping Zhu, Deok‐Sun Lee, Petter Minnhagen and B. Kahng. Their work appears in journals such as Physical Review B, Chaos An Interdisciplinary Journal of Nonlinear Science, Computer Physics Communications, New Journal of Physics and Journal of Statistical Mechanics Theory and Experiment.
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.