Yoon‐Kyu Song
- Condensed Matter Physics top 2%
- GaN-based semiconductor devices and materials 21
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- Neuroscience and Neural Engineering 40
- Photoreceptor and optogenetics research 22
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 20
- Neural dynamics and brain function 14
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- Ga2O3 and related materials 7
- Biomedical Engineering top 5%
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- Advanced Memory and Neural Computing 15
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- Air Quality Monitoring and Forecasting 8
- Co-authors
- A. V. NurmikkoJung HanHao ZhouFarah LaiwallaWilliam R. PattersonChristopher W. BullIlker OzdenBarry W. Connors
- Journals
- Applied Physics Letters (8 papers)IEEE Journal of Selected Topics in Quantum Electronics (2 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)
- Partner nations
- United StatesSouth KoreaEthiopia
In The Last Decade
Yoon‐Kyu Song
80 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Condensed Matter Physics 652
- Cellular and Molecular Neuroscience 811
- Cognitive Neuroscience 442
- Electronic, Optical and Magnetic Materials 335
- Biomedical Engineering 574
Countries citing papers authored by Yoon‐Kyu Song
This map shows the geographic impact of Yoon‐Kyu Song'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 Yoon‐Kyu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon‐Kyu Song more than expected).
Fields of papers citing papers by Yoon‐Kyu Song
This network shows the impact of papers produced by Yoon‐Kyu Song. 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 Yoon‐Kyu Song. The network helps show where Yoon‐Kyu Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoon‐Kyu Song, 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 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 10 | |
| 7 | 2019 | 4 | |
| 8 | 2015 | 98 | |
| 9 | 2013 | 2 | |
| 10 | 2012 | 10 | |
| 11 | 2009 | 67 | |
| 12 | 2009 | 147 | |
| 13 | 2009 | 13 | |
| 14 | 2007 | 31 | |
| 15 | 2006 | 13 | |
| 16 | 2006 | 38 | |
| 17 | 2005 | 50 | |
| 18 | Fluorescence spectra from individual microsized bioaerosols excited by a sequentially fired UV-LED linear array | 2004 | 1 |
| 19 | 2004 | 81 | |
| 20 | 2000 | 1 |
About Yoon‐Kyu Song
Yoon‐Kyu Song is a scholar working on Cellular and Molecular Neuroscience, Condensed Matter Physics and Cognitive Neuroscience, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (40 papers), Photoreceptor and optogenetics research (22 papers), GaN-based semiconductor devices and materials (21 papers), EEG and Brain-Computer Interfaces (20 papers), Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (14 papers), Air Quality Monitoring and Forecasting (8 papers) and Ga2O3 and related materials (7 papers). The work is most often cited by research in Condensed Matter Physics (652 citations), Cellular and Molecular Neuroscience (811 citations) and Cognitive Neuroscience (442 citations). Yoon‐Kyu Song has collaborated with scholars based in United States, South Korea and Ethiopia. Frequent co-authors include A. V. Nurmikko, Jung Han, Hao Zhou, A. V. Nurmikko, Farah Laiwalla, William R. Patterson, Christopher W. Bull, Ilker Ozden, Barry W. Connors and M. Diagne. Their work appears in journals such as Applied Physics Letters, IEEE Journal of Selected Topics in Quantum Electronics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Neural Engineering and Sensors.
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.