Chaoqian Xu

Wuhan University — China

Engineering · Physical Sciences

20h-index1.2kcitations81works1.72yr avg
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Research Topics

GNSS positioning and interference(47), Ionosphere and magnetosphere dynamics(39), Geophysics and Gravity Measurements(39), Earthquake Detection and Analysis(13), Advanced Frequency and Time Standards(7)

Publications81 total

Physics-Informed Neural Networks with Uncertainty Quantification for High-Precision Tropospheric Zenith Wet Delay Prediction
2025Open Access
Enhancing short-term PWV prediction through GNSS and ERA5 data fusion
Atmospheric Research·2025· 1 cited
Research on GNSS ionospheric forecasting in China based on the BiLSTM-GRU-Attention model
Advances in Space Research·2025· 1 cited
Ionospheric TEC forecasting based on Transformer-LSTM ensemble algorithm
2025Open Access
A short-term prediction of ionospheric TEC using the RF-Prophet model for GNSS stations in China
Advances in Space Research·2025· 1 cited
Retrieving all-weather precipitable water vapor using near-infrared and thermal infrared observations
International Journal of Applied Earth Observation and Geoinformation·2025Open Access
Ionospheric TEC disturbances and Ne anomalies during the Mw 7.8 Alaska earthquake on July 22, 2020
Advances in Space Research·2025· 1 cited
A Precise Global Ionospheric Total Electron Content Forecasting Model Based on Multi-Neural Network Ensemble
2025Open Access
BDS PPP-AR positioning performance with ionospheric disturbances at low-latitudes
GPS Solutions·2025· 1 cited
Corrigendum to “A multipath mitigation method for significant environmental changes in deformation monitoring” [Adv. Space Res. 75(3) (2025) 2753–2763]
Advances in Space Research·2025
Real-Time Regional Ionospheric Total Electron Content Modeling Using the Extended Kalman Filter
Remote Sensing·2025Open Access
Evaluating the performance of the rainfall forecast model based on GNSS ZTD and ERA5 CAPE for Hong Kong
Journal of Atmospheric and Solar-Terrestrial Physics·2025
Forecasting single-station ionospheric TEC over China using a combined DBO-LSTM model during geomagnetic storms
Advances in Space Research·2025· 2 cited
Ionospheric Disturbances Detection Based on BDS‐GEO Observations With Prophet Model Over China: A Case Study of May 2017 Geomagnetic Storm
Journal of Geophysical Research Space Physics·2025· 2 cited
A machine learning network for FY-3A MERSI NIR PWV retrieval under all-weather conditions
Atmospheric Research·2025· 2 cited
Deep Learning-Based Feature Importance for Rainfall Nowcast Driven by GNSS PWV and CAPE
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2025Open Access
A robust framework for estimating precipitable water vapor based on near-infrared remote sensing data and reanalysis data fusion (NRF) method
SSRN Electronic Journal·2025Open Access
A Data-Driven Approach to Global Ionospheric Maps Forecasting Considering the Impact of Space Environment
IEEE Transactions on Geoscience and Remote Sensing·2025
Investigating the spatiotemporal variations of GNSS precipitable water and characteristics during drought period based on the empirical <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:math> model in Yunnan, China
Advances in Space Research·2024
Multisource sensors navigation methodology applied to ADAS testing platform vehicle
Measurement and Control·2024· 1 citedOpen Access
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Frequent Co-authors

Yibin Yao(33), Junbo Shi(13), Bao Zhang(9), Yang Gao(8), Wenjie Peng(8), Chenhao Ouyang(5), Huan Zhang(4), Zhangyu Sun(4), Jiming Guo(3), Na Cao(3), Liang Zhang(3), Hongzhou Yang(3), Qingzhi Zhao(3), Xingyu Xu(3), Yangyang Wan(3), Yongshuai Huang(3), Jun Tang(3), Yan Feng(2), Junjian Yang(2), Yan Xiang(2)