Sung Chan Jun
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 63
- Neural dynamics and brain function 21
- Functional Brain Connectivity Studies 13
-
- Neuroscience and Neural Engineering 30
- Co-authors
- Minkyu Ahn (28 shared papers)Sangtae Ahn (16 shared papers)Hohyun Cho (18 shared papers)Moonyoung Kwon (18 shared papers)Hyeon Seo (19 shared papers)Jae Gwan Kim (3 shared papers)Hyojung Jang (3 shared papers)Thien Huu Nguyen (2 shared papers)
- Journals
- Frontiers in Human Neuroscience (8 papers)Brain stimulation (7 papers)Sensors (5 papers)Journal of Neural Engineering (4 papers)Physics in Medicine and Biology (4 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sung Chan Jun
110 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 1.9k
- Human-Computer Interaction 256
- Cellular and Molecular Neuroscience 682
- Neurology 193
- Signal Processing 232
Countries citing papers authored by Sung Chan Jun
This map shows the geographic impact of Sung Chan Jun'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 Sung Chan Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Chan Jun more than expected).
Fields of papers citing papers by Sung Chan Jun
This network shows the impact of papers produced by Sung Chan Jun. 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 Sung Chan Jun. The network helps show where Sung Chan Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung Chan Jun, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 245 | |
| 2 | 2017 | 242 | |
| 3 | 2015 | 233 | |
| 4 | 2016 | 185 | |
| 5 | 2013 | 159 | |
| 6 | 2014 | 138 | |
| 7 | 2017 | 119 | |
| 8 | 2017 | 86 | |
| 9 | 2017 | 78 | |
| 10 | 2013 | 75 | |
| 11 | 2014 | 63 | |
| 12 | 2009 | 62 | |
| 13 | 2013 | 57 | |
| 14 | 2015 | 56 | |
| 15 | 2006 | 44 | |
| 16 | 2016 | 43 | |
| 17 | 2005 | 43 | |
| 18 | 2012 | 42 | |
| 19 | 2022 | 39 | |
| 20 | 2015 | 37 |
About Sung Chan Jun
Sung Chan Jun is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Neurology and Signal Processing, having authored 122 papers that have together received 2.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (63 papers), Neuroscience and Neural Engineering (30 papers), Transcranial Magnetic Stimulation Studies (23 papers), Neural dynamics and brain function (21 papers), Blind Source Separation Techniques (19 papers), Advanced Memory and Neural Computing (14 papers), Functional Brain Connectivity Studies (13 papers) and Neurological disorders and treatments (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Human-Computer Interaction (256 citations), Cellular and Molecular Neuroscience (682 citations), Neurology (193 citations) and Signal Processing (232 citations). Sung Chan Jun has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Minkyu Ahn, Sangtae Ahn, Hohyun Cho, Moonyoung Kwon, Hyeon Seo, Jae Gwan Kim, Hyojung Jang, Thien Huu Nguyen, Mi-Jin Lee and Donghyeon Kim. Their work appears in journals such as Frontiers in Human Neuroscience, Brain stimulation, Sensors, Journal of Neural Engineering and Physics in Medicine and Biology.
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.