Sumin Hong
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- Immune Response and Inflammation
Papers in
-
- Cloud Computing and Resource Management 3
- Education and Learning Interventions 3
- Co-authors
- Hankyoung Pyo (1 shared paper)Ilo Jou (1 shared paper)So‐Young Jung (1 shared paper)Eun-hye Joe (1 shared paper)Jinkoo Kim (1 shared paper)A-Hyun Jo (1 shared paper)Ju‐Chan Kang (1 shared paper)Jun‐Hwan Kim (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)SIAM Journal on Scientific Computing (2 papers)Neuroreport (1 paper)The Structural Design of Tall and Special Buildings (1 paper)Water (1 paper)
- Partner nations
- South KoreaVietnamJapan
In The Last Decade
Sumin Hong
23 papers receiving 418 citations
Peers
Comparison fields: 5 of 117
- Neurology 98
- Immunology 121
- Aquatic Science 39
- Physiology 65
- Developmental Neuroscience 9
Countries citing papers authored by Sumin Hong
This map shows the geographic impact of Sumin Hong'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 Sumin Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumin Hong more than expected).
Fields of papers citing papers by Sumin Hong
This network shows the impact of papers produced by Sumin Hong. 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 Sumin Hong. The network helps show where Sumin Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumin Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 197 | |
| 2 | 2022 | 98 | |
| 3 | 2009 | 36 | |
| 4 | 2020 | 19 | |
| 5 | 2017 | 12 | |
| 6 | 2008 | 12 | |
| 7 | 2012 | 8 | |
| 8 | 2025 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Sumin Hong
Sumin Hong is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Mathematics and Signal Processing, having authored 28 papers that have together received 437 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (3 papers), Cloud Computing and Resource Management (3 papers), Tensor decomposition and applications (3 papers), Parallel Computing and Optimization Techniques (3 papers), Education and Learning Interventions (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Data Management and Algorithms (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Neurology (98 citations), Immunology (121 citations), Aquatic Science (39 citations), Physiology (65 citations) and Developmental Neuroscience (9 citations). Sumin Hong has collaborated with scholars based in South Korea, Vietnam and Japan. Frequent co-authors include Hankyoung Pyo, Ilo Jou, So‐Young Jung, Eun-hye Joe, Jinkoo Kim, A-Hyun Jo, Ju‐Chan Kang, Jun‐Hwan Kim, Young-Bin Yu and Won‐Ki Jeong. Their work appears in journals such as International Journal of Molecular Sciences, SIAM Journal on Scientific Computing, Neuroreport, The Structural Design of Tall and Special Buildings and Water.
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.