activity
20092022
most citedAlfven Wave Solar Model (AWSoM): Coronal Heating

483 citations · 1.6k across the 23 of their papers we have counts for

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Showing astro-ph.SRShow all

15 papers · 1 filter

astro-ph.SR2022★ 31 cited

Coronal Mass Ejections and Dimmings: A Comparative Study using MHD Simulations and SDO Observations

Meng Jin, Mark C. M. Cheung, Marc L. DeRosa +2

Solar coronal dimmings have been observed extensively in the past two decades. Due to their close association with coronal mass ejections (CMEs), there is a critical need to improv…

astro-ph.SR2021★ 11 cited

Measurements of the magnetic field strengths at the bases of stellar coronae using the magnetic-field-induced transition theory

Yajie Chen, Xianyu Liu, Hui Tian +6

Measurements of the magnetic field in the stellar coronae are extremely difficult. Recently, it was proposed that the magnetic-field-induced transition (MIT) of the Fe X 257 Å line…

astro-ph.SR2021★ 28 cited

One Year in the Life of Young Suns: Data Constrained Corona-Wind Model of kappa1 Ceti

Vladimir S. Airapetian, Meng Jin, Theresa Lueftinger +5

The young magnetically active solar-like stars are efficient generators of ionizing radiation in the form of X-ray and Extreme UV (EUV) flux, stellar wind and eruptive events. Thes…

astro-ph.SR2020★ 31 cited

The solar wind from a stellar perspective: how do low-resolution data impact the determination of wind properties?

S. Boro Saikia, M. Jin, C. P. Johnstone +5

Alfvén-wave-driven 3D magnetohydrodynamic (MHD) models, which are increasingly used to predict stellar wind properties, contain unconstrained parameters and rely on low-resolution…

astro-ph.SR2020★ 14 cited

Coronal Dimming as a Proxy for Stellar Coronal Mass Ejections

Meng Jin, Mark C. M. Cheung, Marc L. DeRosa +6

Solar coronal dimmings have been observed extensively in the past two decades and are believed to have close association with coronal mass ejections (CMEs). Recent study found that…

astro-ph.SR2020★ 71 cited

Predicting solar flares with machine learning: investigating solar cycle dependence

Xiantong Wang, Yang Chen, Gabor Toth +7

A deep learning network, Long-Short Term Memory (LSTM) network, is used in this work to predict whether the maximum flare class an active region (AR) will produce in the next 24 ho…