Beomjun Min

641 total citations
14 papers, 476 citations indexed

About

Beomjun Min is a scholar working on Cognitive Neuroscience, Occupational Therapy and Clinical Psychology. According to data from OpenAlex, Beomjun Min has authored 14 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Occupational Therapy and 4 papers in Clinical Psychology. Recurrent topics in Beomjun Min's work include EEG and Brain-Computer Interfaces (5 papers), Occupational Health and Performance (4 papers) and Posttraumatic Stress Disorder Research (3 papers). Beomjun Min is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Occupational Health and Performance (4 papers) and Posttraumatic Stress Disorder Research (3 papers). Beomjun Min collaborates with scholars based in South Korea, United States and Ethiopia. Beomjun Min's co-authors include Boreom Lee, Jong‐In Kim, Muhammad Naveed Iqbal Qureshi, Dongrae Cho, Hang Joon Jo, Jooyoung Oh, Johanna Inhyang Kim, Sohee Oh, Jeong‐Hyun Kim and Minah Kim and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Journal of Affective Disorders.

In The Last Decade

Beomjun Min

14 papers receiving 473 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beomjun Min South Korea 9 371 142 117 71 57 14 476
Vahid Abootalebi Iran 11 477 1.3× 94 0.7× 61 0.5× 121 1.7× 51 0.9× 48 629
Bruno Direito Portugal 13 515 1.4× 156 1.1× 165 1.4× 47 0.7× 25 0.4× 32 567
Xueli Li China 11 264 0.7× 114 0.8× 42 0.4× 31 0.4× 18 0.3× 19 394
Tarek Lajnef Canada 14 572 1.5× 114 0.8× 76 0.6× 46 0.6× 18 0.3× 24 673
Suwicha Jirayucharoensak Thailand 5 372 1.0× 80 0.6× 48 0.4× 52 0.7× 26 0.5× 8 473
Yinghua Wang China 14 417 1.1× 71 0.5× 43 0.4× 40 0.6× 15 0.3× 22 602
Grzegorz M. Wójcik Poland 13 284 0.8× 29 0.2× 26 0.2× 83 1.2× 88 1.5× 52 441
David Martín-López United Kingdom 10 232 0.6× 64 0.5× 118 1.0× 25 0.4× 14 0.2× 17 394
Chanlin Yi China 15 597 1.6× 56 0.4× 32 0.3× 34 0.5× 53 0.9× 38 673
Javad Birjandtalab United States 10 356 1.0× 142 1.0× 84 0.7× 67 0.9× 30 0.5× 23 579

Countries citing papers authored by Beomjun Min

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beomjun Min

This figure shows the co-authorship network connecting the top 25 collaborators of Beomjun Min. A scholar is included among the top collaborators of Beomjun Min based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beomjun Min. Beomjun Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kim, Johanna Inhyang, et al.. (2024). Patterns of comorbid PTSD, depression, alcohol use disorder, and insomnia symptoms in firefighters: A latent profile analysis. Journal of Affective Disorders. 356. 338–345. 3 indexed citations
2.
Namkung, Junghyun, So Young Yoo, Beomjun Min, et al.. (2024). Novel Deep Learning-Based Vocal Biomarkers for Stress Detection in Koreans. Psychiatry Investigation. 21(11). 1228–1237. 1 indexed citations
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Kim, Johanna Inhyang, et al.. (2020). The prevalence and clinical impairment of subthreshold PTSD using DSM‐5 criteria in a national sample of Korean firefighters. Depression and Anxiety. 37(4). 375–385. 23 indexed citations
7.
Kim, Johanna Inhyang, et al.. (2019). Prevalence and correlates of suicidal ideation in Korean firefighters: a nationwide study. BMC Psychiatry. 19(1). 428–428. 13 indexed citations
8.
Min, Beomjun, Minah Kim, Junhee Lee, et al.. (2019). Prediction of individual responses to electroconvulsive therapy in patients with schizophrenia: Machine learning analysis of resting-state electroencephalography. Schizophrenia Research. 216. 147–153. 20 indexed citations
9.
Qureshi, Muhammad Naveed Iqbal, Jooyoung Oh, Beomjun Min, Hang Joon Jo, & Boreom Lee. (2017). Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI. Frontiers in Human Neuroscience. 11. 157–157. 60 indexed citations
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Qureshi, Muhammad Naveed Iqbal, et al.. (2017). Multiclass Classification of Word Imagination Speech With Hybrid Connectivity Features. IEEE Transactions on Biomedical Engineering. 65(10). 2168–2177. 68 indexed citations
12.
Qureshi, Muhammad Naveed Iqbal, Beomjun Min, Hang Joon Jo, & Boreom Lee. (2016). Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study. PLoS ONE. 11(8). e0160697–e0160697. 79 indexed citations
13.
Cho, Dongrae, Beomjun Min, Jong‐In Kim, & Boreom Lee. (2016). EEG-Based Prediction of Epileptic Seizures Using Phase Synchronization Elicited from Noise-Assisted Multivariate Empirical Mode Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(8). 1309–1318. 113 indexed citations
14.
Min, Beomjun, et al.. (2016). Vowel Imagery Decoding toward Silent Speech BCI Using Extreme Learning Machine with Electroencephalogram. BioMed Research International. 2016. 1–11. 74 indexed citations

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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2026