Sungtae Kim
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- Cognitive Radio Networks and Spectrum Sensing 7
- Distributed Sensor Networks and Detection Algorithms 5
- Cooperative Communication and Network Coding 2
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- Advanced MIMO Systems Optimization 4
- Energy Harvesting in Wireless Networks 1
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- Muscle Physiology and Disorders 2
- Metabolomics and Mass Spectrometry Studies 1
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- Firm Innovation and Growth 2
- Co-authors
- Daesik HongJemin LeeHano WangJ. Wesley PikeNirupama K. ShevdeLee A. ZellaJackie A. FretzGosan Noh
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringPathology and Forensic Medicine
- Journals
- Applied Surface Science (1 paper)Molecular Endocrinology (1 paper)IEEE Transactions on Wireless Communications (2 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sungtae Kim
16 papers receiving 419 citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 283
- Electrical and Electronic Engineering 250
- Pathology and Forensic Medicine 69
- Nephrology 19
- Signal Processing 27
Countries citing papers authored by Sungtae Kim
This map shows the geographic impact of Sungtae Kim'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 Sungtae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungtae Kim more than expected).
Fields of papers citing papers by Sungtae Kim
This network shows the impact of papers produced by Sungtae Kim. 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 Sungtae Kim. The network helps show where Sungtae Kim may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Sungtae Kim, 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 | 2023 | 1 | |
| 2 | 2019 | 1 | |
| 3 | 2019 | 0 | |
| 4 | 2019 | 1 | |
| 5 | 2018 | 24 | |
| 6 | An Empirical Study on the Dynamics and Determinants of High-Growth SMEs: Concentration on the Industrial Characteristics | 2016 | 1 |
| 7 | 2012 | 2 | |
| 8 | 2011 | 2 | |
| 9 | 2010 | 20 | |
| 10 | 2010 | 40 | |
| 11 | 2010 | 70 | |
| 12 | 2010 | 18 | |
| 13 | 2009 | 30 | |
| 14 | 2009 | 106 | |
| 15 | 2009 | 13 | |
| 16 | 2007 | 40 | |
| 17 | 2006 | 67 | |
| 18 | 2006 | 1 | |
| 19 | Survivorship Analysis of Pedicle Screw Fixation | 1999 | 3 |
About Sungtae Kim
Sungtae Kim is a scholar working on Computer Networks and Communications, Health Information Management and Transportation, having authored 19 papers that have together received 440 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (7 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Advanced MIMO Systems Optimization (4 papers), Muscle Physiology and Disorders (2 papers), Cooperative Communication and Network Coding (2 papers), Firm Innovation and Growth (2 papers), Energy Harvesting in Wireless Networks (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (283 citations), Electrical and Electronic Engineering (250 citations) and Pathology and Forensic Medicine (69 citations). Sungtae Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Daesik Hong, Jemin Lee, Hano Wang, J. Wesley Pike, Nirupama K. Shevde, Lee A. Zella, Jackie A. Fretz, Gosan Noh, Dae‐Hong Ko and Dong Kyu Kim. Their work appears in journals such as Applied Surface Science, Molecular Endocrinology and IEEE Transactions on Wireless Communications.
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.