| Estimation model of global ionospheric irregularities: an artificial intelligence approach P Tian, B Yu, H Ye, X Xue, J Wu, T Chen Space weather 20 (9), e2022SW003160, 2022 | 9 | 2022 |
| Ionospheric irregularity reconstruction using multisource data fusion via deep learning P Tian, B Yu, H Ye, X Xue, J Wu, T Chen Atmospheric Chemistry and Physics 23 (20), 13413-13431, 2023 | 5 | 2023 |
| Multi-Instrumental Observations of Midlatitude Plasma Irregularities over Eastern Asia during a Moderate Magnetic Storm on 16 July 2003 H Ye, W Yi, B Zhou, J Wu, B Yu, P Tian, J Wang, C Long, M Lu, X Xue, ... Remote Sensing 15 (4), 1160, 2023 | 5 | 2023 |
| Deep Learning Insights Into Ionospheric Sporadic E Irregularities Under Different Solar Activity Conditions P Tian, B Yu, H Ye, X Xue, J Wu, T Chen Journal of Geophysical Research: Machine Learning and Computation 1 (4 …, 2024 | | 2024 |
| Comparative analysis of empirical and deep learning models for ionospheric sporadic E layer prediction BK Yu, PH Tian, XH Xue, CJ Scott, HL Ye, JF Wu, W Yi, TD Chen, XK Dou Earth and Planetary Physics, 2024 | | 2024 |
| Ionospheric irregularity reconstruction using multisource data fusion via deep learning P Tian https://meetingorganizer.copernicus.org/EGU24/EGU24-3145.html, 2024 | | 2024 |
Xianghui XueUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
Xianghui XueUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
Bingkun YuUniversity of Reading在 reading.ac.uk 的电子邮件经过验证