Seung‐Hyun Jin

860 citations
31 papers · 642 indexed · h-index 16

Seung‐Hyun Jin

29 papers receiving 621 citations

Peers

Seung‐Hyun Jin
Comparison fields: 5 of 81
  • Cognitive Neuroscience 445
  • Neurology 80
  • Neurology 124
  • Cellular and Molecular Neuroscience 94
  • Experimental and Cognitive Psychology 66
Replace Matteo Demuru with:
Matteo Demuru Netherlands
Qiuyou Xie China
V. Diekmann Germany
Martin Seeber Switzerland
Ralph Huonker Germany
Annabelle Blangero France
Carlos Amo Spain
Shengpei Wang China
Hideaki Tanaka Japan
João Jorge Switzerland
Seung‐Hyun Jin relative to Matteo Demuru Netherlands Matteo Demuru's profile →
Citations per field
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Matteo Demuru · 1×
Citations per year

Countries citing papers authored by Seung‐Hyun Jin

Since Specialization
Citations

This map shows the geographic impact of Seung‐Hyun Jin'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 Seung‐Hyun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung‐Hyun Jin more than expected).

Fields of papers citing papers by Seung‐Hyun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung‐Hyun Jin. 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 Seung‐Hyun Jin. The network helps show where Seung‐Hyun Jin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Seung‐Hyun Jin, 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 Seung‐Hyun Jin Line = papers co-authored together Seung‐Hyun Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20156
4 201429
5 201411
6 201442
7 20116
8 201145
9 201136
10 201157
11 201059
12 200960
13 200715
14 200631
15 200620
16
1/f scaling exponent of EEG depending on different sensitivities of behavioral activation and inhibition systems for young and elderly groups
20052
17
LORETA analysis of EEG responding to positive/negative emotional stimuli for different sensitivities of behavioral activation and inhibition systems
20051
18 200410
19 200316
20
Can an Alpha-Induced Stimulator Enhance a Memory Process in the Brain
19981

About Seung‐Hyun Jin

Seung‐Hyun Jin is a scholar working on Cognitive Neuroscience, Anesthesiology and Pain Medicine, Hardware and Architecture, Neurology and Neurology, having authored 31 papers that have together received 642 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (16 papers), Functional Brain Connectivity Studies (11 papers), Neurological disorders and treatments (3 papers), Neural and Behavioral Psychology Studies (3 papers), Transcranial Magnetic Stimulation Studies (2 papers), Advanced Data Storage Technologies (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cognitive Neuroscience (445 citations), Neurology (80 citations), Neurology (124 citations), Cellular and Molecular Neuroscience (94 citations) and Experimental and Cognitive Psychology (66 citations). Seung‐Hyun Jin has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Peter Lin, Chun Kee Chung, Mark Hallett, Woorim Jeong, Mark Hallett, Soo Yong Kim, Sungyoung Auh, Yong‐Ju Kwon, Dai‐Jin Kim and Sun Hee Na. Their work appears in journals such as Clinical Neurophysiology, PLoS ONE, Epilepsy Research, Movement Disorders and International Journal of Psychophysiology.

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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