Minkyu Ahn
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 34
- Neural dynamics and brain function 10
- Neural and Behavioral Psychology Studies 5
-
- Neuroscience and Neural Engineering 23
- Co-authors
- Sung Chan JunHohyun ChoSangtae AhnMoonyoung KwonMi-Jin LeeHeung-No LeeYounghak ShinSeungchan Lee
- Journals
- Frontiers in Human Neuroscience (5 papers)Journal of Neural Engineering (4 papers)Sensors (3 papers)NeuroImage (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesRomania
In The Last Decade
Minkyu Ahn
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 1.3k
- Human-Computer Interaction 235
- Cellular and Molecular Neuroscience 615
- Signal Processing 139
- Neurology 54
Countries citing papers authored by Minkyu Ahn
This map shows the geographic impact of Minkyu Ahn'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 Minkyu Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minkyu Ahn more than expected).
Fields of papers citing papers by Minkyu Ahn
This network shows the impact of papers produced by Minkyu Ahn. 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 Minkyu Ahn. The network helps show where Minkyu Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Minkyu Ahn, 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 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 35 | |
| 9 | 2021 | 54 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 19 | |
| 14 | A Digital Device-Based Method for Quantifying Motor Impairment in Movement Disorders | 2020 | 1 |
| 15 | 2018 | 5 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 32 | |
| 18 | 2015 | 231 | |
| 19 | 2015 | 37 | |
| 20 | 2013 | 10 |
About Minkyu Ahn
Minkyu Ahn is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction, Signal Processing and Neurology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (34 papers), Neuroscience and Neural Engineering (23 papers), Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (10 papers), Neurological disorders and treatments (5 papers), Blind Source Separation Techniques (5 papers), Neural and Behavioral Psychology Studies (5 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Human-Computer Interaction (235 citations), Cellular and Molecular Neuroscience (615 citations), Signal Processing (139 citations) and Neurology (54 citations). Minkyu Ahn has collaborated with scholars based in South Korea, United States and Romania. Frequent co-authors include Sung Chan Jun, Hohyun Cho, Sangtae Ahn, Moonyoung Kwon, Mi-Jin Lee, Heung-No Lee, Younghak Shin, Seungchan Lee, Kiwoong Kim and Seungyong Lee. Their work appears in journals such as Frontiers in Human Neuroscience, Journal of Neural Engineering, Sensors, NeuroImage and Scientific Reports.
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.