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Qinzheng Li
Qinzheng Li
在 geo.tuwien.ac.at 的电子邮件经过验证
标题
引用次数
引用次数
年份
Estimation of daily hydrological mass changes using continuous GNSS measurements in mainland China
Z Jiang, YJ Hsu, L Yuan, S Cheng, Q Li, M Li
Journal of Hydrology 598, 126349, 2021
332021
Global grid-based Tm model with vertical adjustment for GNSS precipitable water retrieval
Q Li, L Yuan, P Chen, Z Jiang
GPS Solutions 24 (3), 73, 2020
262020
Modeling the plasmasphere based on LEO satellites onboard GPS measurements
P Chen, Y Yao, Q Li, W Yao
Journal of Geophysical Research: Space Physics 122 (1), 1221-1233, 2017
232017
A global weighted mean temperature model based on empirical orthogonal function analysis
Q Li, P Chen, L Sun, X Ma
Advances in Space Research 61 (6), 1398-1411, 2018
162018
Global model of zenith tropospheric delay proposed based on EOF analysis
L Sun, P Chen, E Wei, Q Li
Advances in Space Research 60 (1), 187-198, 2017
152017
Positioning performance comparison between GPS and BDS with data recorded at four MGEX stations
X Ma, K Yu, X He, JP Montillet, Q Li
IEEE Access 8, 147422-147438, 2020
142020
Modeling tropospheric zenith wet delays in the Chinese mainland based on machine learning
Q Li, L Yuan, Z Jiang
GPS Solutions 27 (4), 171, 2023
102023
Study on the plasmaspheric Weddell Sea Anomaly based on COSMIC onboard GPS measurements
P Chen, Q Li, Y Yao, WQ Yao
Journal of Atmospheric and Solar-Terrestrial Physics 192, 104923, 2019
82019
Global zenith wet delay modeling with surface meteorological data and machine learning
Q Li, J Böhm, L Yuan, R Weber
GPS Solutions 28 (1), 57, 2024
62024
Development and evaluation of a generalized model of RAIM availability for single-, dual-and multi-satellite faults
X Ma, K Yu, X He, Q Li, L Zhao, H Wang
Measurement Science and Technology 33 (6), 065022, 2022
62022
Atmospheric weighted mean temperature modeling for Australia
D ZHANG, L YUAN, L HUANG, Q LI
Geomatics and Information Science of Wuhan University 47 (7), 1146-1153, 2022
32022
Development of a global model for zenith wet delays based on the random forest approach
Q Li, J Böhm, L Yuan, R Weber
EGU General Assembly Conference Abstracts, EGU22-2702, 2022
12022
Modeling of the weighted mean temperature based on the random forest machine learning approach
Q Li, J Böhm, L Yuan, R Weber
EGU General Assembly Conference Abstracts, EGU-17204, 2023
2023
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