An Ionospheric TEC Forecasting Model Based on a CNN-LSTM-Attention Mechanism Neural Network. - Jun Tang 004; Yinjian Li; Mingfei Ding; Heng Liu; Dengpan Yang; Xuequn Wu (Remote. Sens., 2022)

An Approach for Predicting Global Ionospheric TEC Using Machine Learning. - Jun Tang 004; Yinjian Li; Dengpan Yang; Mingfei Ding (Remote. Sens., 2022)

Different data-driven prediction of global ionospheric TEC using deep learning methods. - Jun Tang 004; Mingfei Ding; Dengpan Yang; Cihang Fan; Nasim Khonsari; Wenfei Mao (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Prediction of GNSS-Based Regional Ionospheric TEC Using a Multichannel ConvLSTM With Attention Mechanism. - Chaoqian Xu; Mingfei Ding; Jun Tang 004 (IEEE Geosci. Remote. Sens. Lett., 2024)

Forecast of Ionospheric TEC Maps Using ConvGRU Deep Learning Over China. - Jun Tang 004; Zhengyu Zhong; Mingfei Ding; Dengpan Yang; Heng Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Data-Driven Approach to Global Ionospheric Maps Forecasting Considering the Impact of Space Environment. - Jun Tang 004; Cihang Fan; Xunqun Wu; Mingfei Ding; Mingxian Hu; Chaoqian Xu (IEEE Trans. Geosci. Remote. Sens., 2025)