22 citations · 60 across the 7 of their papers we have counts for
7 papers
Early Evolution of the Cavity and Core of a Coronal Mass Ejection in the Inner Corona
Shuting Li, Li Feng, Beili Ying +5
Coronal mass ejections (CMEs) typically exhibit a three-component structure in white-light (WL) coronagraphs. Utilizing the seamless observations of the inner corona ( 3 R$_\o…
CAMEL. II. A 3D Coronal Mass Ejection Catalog Based on Coronal Mass Ejection Automatic Detection with Deep Learning
Jiahui Shan, Huapeng Zhang, Lei Lu +5
Coronal mass ejections (CMEs) are major drivers of geomagnetic storms, which may cause severe space weather effects. Automating the detection, tracking, and three-dimensional (3D)…
Refinement of global coronal and interplanetary magnetic field extrapolations constrained by remote-sensing and in-situ observations at the solar minimum
Guanglu Shi, Li Feng, Beili Ying +2
Solar magnetic fields are closely related to various physical phenomena on the sun, which can be extrapolated with different models from photospheric magnetograms. However, the Ope…
Simultaneous Horizontal and Vertical Oscillation of a Quiescent Filament observed by CHASE and SDO
Jun Dai, Qingmin Zhang, Ye Qiu +5
In this paper, we present the imaging and spectroscopic observations of the simultaneous horizontal and vertical large-amplitude oscillation of a quiescent filament triggered by an…
Statistical analysis of circular-ribbon flares
Yanjie Zhang, Qingmin Zhang, Dechao Song +4
Circular-ribbon flares (CFs) are a special type of solar flares owing to their particular magnetic topology. In this paper, we conducted a comprehensive statistical analysis of 134…
Three-dimensional analyses of an aspherical coronal mass ejection and its driven shock
Beili Ying, Li Feng, Bernd Inhester +4
Context. Observations reveal that shocks can be driven by fast coronal mass ejections (CMEs) and play essential roles in particle accelerations. A critical ratio, , derived from…
A New Automatic Tool for CME Detection and Tracking with Machine Learning Techniques
Pengyu Wang, Yan Zhang, Li Feng +7
With the accumulation of big data of CME observations by coronagraphs, automatic detection and tracking of CMEs has proven to be crucial. The excellent performance of convolutional…