Sung Chan Jun

4.3k citations
133 papers · 3.2k · h-index 28

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 66
    • Neural dynamics and brain function 24
    • Functional Brain Connectivity Studies 17
    • Transcranial Magnetic Stimulation Studies 27
    • Neurological disorders and treatments 11

Sung Chan Jun

126 papers receiving 3.2k citations

Peers

Sung Chan Jun
Comparison fields: 5 of 137
  • Cognitive Neuroscience 2.0k
  • Human-Computer Interaction 273
  • Cellular and Molecular Neuroscience 727
  • Neurology 252
  • Signal Processing 250
Replace Maureen Clerc with:
Maureen Clerc France
Marc M. Van Hulle Belgium
Yangsong Zhang China
Chang‐Hwan Im South Korea
Dingguo Zhang China
Jaakko A. Malmivuo Finland
Toshihisa Tanaka Japan
Dejan B. Popović Serbia
Théodore Papadopoulo France
Malek Adjouadi United States
Sung Chan Jun relative to Maureen Clerc France Maureen Clerc's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sung Chan Jun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sung Chan Jun Line = papers co-authored together Sung Chan Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996258
2 2015254
3 2017251
4 2016201
5 2013164
6 2014155
7 2017131
8 201799
9 201781
10 201379
11 201370
12 201467
13 200963
14 201558
15 200650
16 200550
17 201648
18 201242
19 201538
20 201836

About Sung Chan Jun

Sung Chan Jun is a scholar working on Cognitive Neuroscience, Neurology, Cellular and Molecular Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 133 papers that have together received 3.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (66 papers), Neuroscience and Neural Engineering (31 papers), Transcranial Magnetic Stimulation Studies (27 papers), Neural dynamics and brain function (24 papers), Blind Source Separation Techniques (21 papers), Functional Brain Connectivity Studies (17 papers), Advanced Memory and Neural Computing (13 papers) and Neurological disorders and treatments (11 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Human-Computer Interaction (273 citations), Cellular and Molecular Neuroscience (727 citations), Neurology (252 citations) and Signal Processing (250 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, Physics in Medicine and Biology and Journal of Neural Engineering.

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.

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