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Yong-Jae Moon

Researcher at Kyung Hee University

Publications -  144
Citations -  4380

Yong-Jae Moon is an academic researcher from Kyung Hee University. The author has contributed to research in topics: Coronal mass ejection & Solar flare. The author has an hindex of 36, co-authored 131 publications receiving 4004 citations. Previous affiliations of Yong-Jae Moon include New Jersey Institute of Technology & Korea Astronomy and Space Science Institute.

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Propagation of Interplanetary Coronal Mass Ejections: The Drag-Based Model

TL;DR: In this article, the authors present the "Drag-Based Model" (DBM) of heliospheric propagation of interplanetary coronal mass ejections (ICMEs) based on the hypothesis that the driving Lorentz force, which launches a CME, ceases in the upper corona and that beyond a certain distance the dynamics becomes governed by the interaction of the ICME and the ambient solar wind.
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Observations of the failed eruption of a filament

TL;DR: In this article, the fine temporal and spatial structure of a filament eruption on 2002 May 27 following an M2-class flare was observed at the Big Bear Solar Observatory, with a cadence of 40 ms. The event appears to be a failed eruption, as the filament material, seen in absorption by TRACE, first accelerated then decelerated as it approached its peak height of similar to 8 x 10(4) km while the filament threads drained back to the Sun.
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A Statistical Study of Two Classes of Coronal Mass Ejections

TL;DR: In this paper, a comprehensive statistical study is performed to address the question of whether two classes of coronal mass ejections (CMEs) exist, and the correlation between speed and acceleration of CMEs is investigated.
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Active-Region Monitoring and Flare Forecasting – I. Data Processing and First Results

TL;DR: The Big Bear Solar Observatory Active Region Monitor (ARM) as discussed by the authors uses full-disk Hα images from the Global Hα Network; EUV, continuum and magnetogram data from the Solar and Heliospheric Observatory (SOHO); and fulldisk magnetograms from the global Oscillation Network Group (GONG).