Beomjun Min
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- EEG and Brain-Computer Interfaces 5
- Neural dynamics and brain function 1
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- Posttraumatic Stress Disorder Research 2
- Suicide and Self-Harm Studies 1
- Co-authors
- Boreom Lee (6 shared papers)Jong‐In Kim (3 shared papers)Muhammad Naveed Iqbal Qureshi (3 shared papers)Dongrae Cho (2 shared papers)Hang Joon Jo (2 shared papers)Jooyoung Oh (1 shared paper)Heyeon Park (7 shared papers)Johanna Inhyang Kim (6 shared papers)
- Journals
- Journal of Affective Disorders (2 papers)JMIR mhealth and uhealth (1 paper)Frontiers in Human Neuroscience (1 paper)Depression and Anxiety (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Beomjun Min
14 papers receiving 516 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 377
- Signal Processing 137
- Psychiatry and Mental health 119
- Human-Computer Interaction 18
- Neurology 21
Countries citing papers authored by Beomjun Min
This map shows the geographic impact of Beomjun Min'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 Beomjun Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beomjun Min more than expected).
Fields of papers citing papers by Beomjun Min
This network shows the impact of papers produced by Beomjun Min. 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 Beomjun Min. The network helps show where Beomjun Min may publish in the future.
Co-authors
The 24 scholars most cited alongside Beomjun Min, 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 | 2016 | 120 | |
| 2 | 2016 | 86 | |
| 3 | 2016 | 82 | |
| 4 | 2017 | 70 | |
| 5 | 2017 | 62 | |
| 6 | 2019 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2019 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2017 | 11 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2023 | 1 |
About Beomjun Min
Beomjun Min is a scholar working on Cognitive Neuroscience, Clinical Psychology, Artificial Intelligence, Electrical and Electronic Engineering and Psychiatry and Mental health, having authored 14 papers that have together received 522 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Advanced Memory and Neural Computing (3 papers), Machine Learning and ELM (3 papers), Posttraumatic Stress Disorder Research (2 papers), Advanced Battery Technologies Research (1 paper), Suicide and Self-Harm Studies (1 paper), Obstructive Sleep Apnea Research (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cognitive Neuroscience (377 citations), Signal Processing (137 citations), Psychiatry and Mental health (119 citations), Human-Computer Interaction (18 citations) and Neurology (21 citations). Beomjun Min has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Boreom Lee, Jong‐In Kim, Muhammad Naveed Iqbal Qureshi, Dongrae Cho, Hang Joon Jo, Jooyoung Oh, Heyeon Park, Johanna Inhyang Kim, Jeong‐Hyun Kim and Sohee Oh. Their work appears in journals such as Journal of Affective Disorders, JMIR mhealth and uhealth, Frontiers in Human Neuroscience, Depression and Anxiety and IEEE Transactions on Biomedical 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.