An Improved Iterative Algorithm for 3-D Ionospheric Tomography Reconstruction. - Yibin Yao; Jun Tang 004; Peng Chen 034; Shun Zhang; Jiajun Chen (IEEE Trans. Geosci. Remote. Sens., 2014)

Temporal and Spatial Ionospheric Variations of 20 April 2013 Earthquake in Yaan, China. - Jun Tang 004; Yibin Yao; Liang Zhang (IEEE Geosci. Remote. Sens. Lett., 2015)

A New Ionosphere Tomography Algorithm With Two-Grid Virtual Observations Constraints and Three-Dimensional Velocity Profile. - Yibin Yao; Jian Kong; Jun Tang 004 (IEEE Trans. Geosci. Remote. Sens., 2015)

Adaptive Regularization Method for 3-D GNSS Ionospheric Tomography Based on the U-Curve. - Jun Tang 004; Xin Gao (IEEE Trans. Geosci. Remote. Sens., 2021)

Daytime and Nighttime Medium-Scale Traveling Ionospheric Disturbances to the June 2015 Geomagnetic Storm Detected by GEONET. - Jun Tang 004; Xin Gao; Yinjian Li; Zhengyu Zhong (IEEE Geosci. Remote. Sens. Lett., 2022)

Ionospheric Assimilation of GNSS TEC into IRI Model Using a Local Ensemble Kalman Filter. - Jun Tang 004; Shimeng Zhang; Xingliang Huo; Xuequn Wu (Remote. Sens., 2022)

Local Persistent Ionospheric Positive Responses to the Geomagnetic Storm in August 2018 Using BDS-GEO Satellites over Low-Latitude Regions in Eastern Hemisphere. - Jun Tang 004; Xin Gao; Dengpan Yang; Zhengyu Zhong; Xingliang Huo; Xuequn Wu (Remote. Sens., 2022)

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)

Ionospheric Phase Delay Correction for Time Series Multiple-Aperture InSAR Constrained by Polynomial Deformation Model. - Wenfei Mao; Xiaowen Wang 001; Guoxiang Liu 001; Peifeng Ma; Rui Zhang 052; Zhang-Feng Ma; Jun Tang 004; Hui Lin 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Forecasting Regional Ionospheric TEC Maps over China Using BiConvGRU Deep Learning. - Jun Tang 004; Zhengyu Zhong; Jiacheng Hu; Xuequn Wu (Remote. Sens., 2023)

Assimilating GNSS TEC with an LETKF over Yunnan, China. - Jun Tang 004; Shimeng Zhang; Dengpan Yang; Xuequn Wu (Remote. Sens., 2023)

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)

Assessment of global and regional UPD for BDS/GNSS PPP-AR at low latitudes during quiet and geomagnetic storm periods. - Jun Tang 004; Wei Zhang; Yibin Yao; Chaoqian Xu; Liang Zhang; Youkun Wang (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A Short-Term Forecasting Method for Ionospheric TEC Combining Local Attention Mechanism and LSTM Model. - Jun Tang 004; Lang Xu; Xuequn Wu; Ke Chen (IEEE Geosci. Remote. Sens. Lett., 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)