| A new global zenith tropospheric delay model GZTD YB YAO, CY HE, B Zhang, CQ XU Chinese Journal of Geophysics 56 (7), 2218-2227, 2013 | 123 | 2013 |
| Geodetic and hydrological measurements reveal the recent acceleration of groundwater depletion in North China Plain Q Zhao, B Zhang, Y Yao, W Wu, G Meng, Q Chen Journal of Hydrology 575, 1065-1072, 2019 | 103 | 2019 |
| GTm-III: a new global empirical model for mapping zenith wet delays onto precipitable water vapour Y Yao, C Xu, B Zhang, N Cao Geophysical Journal International 197 (1), 202-212, 2014 | 79 | 2014 |
| ITG: A new global GNSS tropospheric correction model Y Yao, C Xu, J Shi, N Cao, B Zhang, J Yang Scientific Reports 5 (1), 10273, 2015 | 78 | 2015 |
| Improved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology Y Yao, B Zhang, C Xu, F Yan Journal of Geodesy 88 (3), 273-282, 2014 | 76 | 2014 |
| A global model for estimating tropospheric delay and weighted mean temperature developed with atmospheric reanalysis data from 1979 to 2017 Z Sun, B Zhang, Y Yao Remote Sensing 11 (16), 1893, 2019 | 72 | 2019 |
| Global empirical model for mapping zenith wet delays onto precipitable water YB Yao, B Zhang, SQ Yue, CQ Xu, WF Peng Journal of Geodesy 87 (5), 439-448, 2013 | 67 | 2013 |
| An improved global zenith tropospheric delay model GZTD2 considering diurnal variations Y Yao, Y Hu, C Yu, B Zhang, J Guo Nonlinear processes in geophysics 23 (3), 127-136, 2016 | 64 | 2016 |
| Precipitable water vapor fusion based on a generalized regression neural network B Zhang, Y Yao Journal of geodesy 95 (3), 36, 2021 | 62 | 2021 |
| An ERA5‐based model for estimating tropospheric delay and weighted mean temperature over China with improved spatiotemporal resolutions Z Sun, B Zhang, Y Yao Earth and Space Science 6 (10), 1926-1941, 2019 | 62 | 2019 |
| Analysis of the global T m–T s correlation and establishment of the latitude-related linear model Y Yao, B Zhang, C Xu, J Chen Chinese science bulletin 59, 2340-2347, 2014 | 60 | 2014 |
| A method to improve the utilization of GNSS observation for water vapor tomography YB Yao, QZ Zhao, B Zhang Annales Geophysicae 34 (1), 143-152, 2016 | 50 | 2016 |
| Centennial response of Greenland’s three largest outlet glaciers SA Khan, AA Bjørk, JL Bamber, M Morlighem, M Bevis, KH Kjær, ... Nature Communications 11 (1), 5718, 2020 | 46 | 2020 |
| Recent surface deformation in the Tianjin area revealed by Sentinel-1A data T Zhang, WB Shen, W Wu, B Zhang, Y Pan Remote Sensing 11 (2), 130, 2019 | 42 | 2019 |
| Precipitable water vapor fusion: An approach based on spherical cap harmonic analysis and Helmert variance component estimation B Zhang, Y Yao, L Xin, X Xu Journal of geodesy 93, 2605-2620, 2019 | 40 | 2019 |
| Improving the estimation of weighted mean temperature in China using machine learning methods Z Sun, B Zhang, Y Yao Remote Sensing 13 (5), 1016, 2021 | 35 | 2021 |
| Two new sophisticated models for tropospheric delay corrections YB YAO, B ZHANG, F YAN, CQ XU Chinese Journal of Geophysics 58 (5), 1492-1501, 2015 | 33 | 2015 |
| Nonlinear Relationships Between the Surface Temperature and the Weighted Mean Temperature. Y Yibin, L Jinhong, Z Bao, HE Changyong Geomatics & Information Science of Wuhan University 40 (1), 2015 | 31 | 2015 |
| Geodetic and model data reveal different spatio-temporal patterns of transient mass changes over Greenland from 2007 to 2017 B Zhang, L Liu, SA Khan, T van Dam, AA Bjørk, Y Peings, E Zhang, ... Earth and Planetary Science Letters 515, 154-163, 2019 | 28 | 2019 |
| 两种精化的对流层延迟改正模型 姚宜斌， 张豹， 严凤， 许超钤 地球物理学报 58 (5), 1492-1501, 2015 | 27 | 2015 |
