Zhou, Wei https://orcid.org/0009-0005-4190-2312
Zhou, Weihong https://orcid.org/0009-0003-2287-6441
Yang, Yun https://orcid.org/0009-0000-5292-713X
Cao, Jie https://orcid.org/0009-0000-7057-8084
Ge, Zong-Yuan https://orcid.org/0009-0007-1701-6438
Xu, Tingting https://orcid.org/0000-0002-9997-9524
E, Peng https://orcid.org/0009-0008-4496-2654
Liu, Yuxia https://orcid.org/0009-0009-5713-5380
Li, Shangxi https://orcid.org/0009-0001-4882-0345
Zhou, Xueliang https://orcid.org/0009-0009-5909-5503
Zhao, YuanXia https://orcid.org/0009-0005-6995-7577
Xiong, Songqing https://orcid.org/0009-0003-6895-891X
Funding for this research was provided by:
MOST ∣ National Natural Science Foundation of China (422404155)
the Yunnan Fundamental Research Projects (202401AU070026)
the Scientific Research Foundation Project of Yunnan Education Department (2025Y0720)
Article Title: Coronal Mass Ejection Transit Time Prediction Based on Spatiotemporal Modeling Using 3D Convolutional Neural Networks
Journal Title: The Astrophysical Journal
Article Type: paper
Copyright Information: © 2026. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2025-11-24
Date Accepted: 2026-01-20
Online publication date: 2026-02-20