activity
20202026
most citedReview of Mercury's Dynamic Magnetosphere: Post-MESSENGER Era and Comparative Magnetospheres

56 citations · 115 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.SR2026

The Non-Eruptive Reconfiguration of a Quiescent Filament After a Nearby Active Region Emergence

James McKevitt, Louise Harra, Gherardo Valori +13

The unpredictability of solar filament eruptions presents major challenges for forecasting space weather, as such eruptions frequently drive coronal mass ejections (CMEs) that impa…

physics.space-ph2024★ 4 cited

MESSENGER observations of Mercury's planetary ion escape rates and their dependence on true anomaly angle

Weijie Sun, Ryan M. Dewey, Xianzhe Jia +11

This study investigates the escape of Mercury's sodium-group ions (Na+-group, including ions with m/q from 21 to 30 amu/e) and their dependence on true anomaly angle (TAA), i.e., M…

astro-ph.IM2023★ 1 cited

The case for studying other planetary magnetospheres and atmospheres in Heliophysics

Ian J. Cohen, Chris Arridge, Abigail Azari +37

Heliophysics is the field that "studies the nature of the Sun, and how it influences the very nature of space - and, in turn, the atmospheres of planetary bodies and the technology…

physics.space-ph2022★ 22 cited

MESSENGER observations of planetary ion enhancements at Mercury's northern magnetospheric cusp during Flux Transfer Event Showers

Weijie Sun, James A. Slavin, Anna Milillo +11

At Mercury, several processes can release ions and neutrals out of the planet's surface. Here we present enhancements of dayside planetary ions in the solar wind entry layer during…

physics.space-ph2021★ 56 cited

Review of Mercury's Dynamic Magnetosphere: Post-MESSENGER Era and Comparative Magnetospheres

Weijie Sun, Ryan M. Dewey, Sae Aizawa +5

This review summarizes the research of Mercury's magnetosphere in the Post-MESSENGER era and compares its dynamics to those in other planetary magnetospheres, especially to those i…

astro-ph.IM2020★ 32 cited

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade

Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13

Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen…