Wuhan University Yao Yibin--Home--Paper Publications

Personal Information

Doctoral Supervisor
(Professor)
Gender:
Male
School/Department:
测绘学院
Education Level:
研究生毕业
Alma Mater:
武汉大学
School/Department:
测绘学院
Administrative Position:
武汉大学国家卓越工程师学院执行院长
E-Mail:
ybyao@whu.edu.cn

Other Contact Information

ZipCode
430079
Fax
027-68778371
PostalAddress
武汉市珞喻路129号武汉大学测绘学院303室
OfficePhone
027-68758401
Telephone
13907135933
Email
ybyao@whu.edu.cn

Paper Publications

Current position: Home > Scientific Research > Paper Publications

[101]. 188.Qingshan Shen, Zemin Wang, Jian Kong*,Yibin Yao, Zhuangkai Wang and Chen zhou，Ionospheric Response to an Antarctic cyclone in the Transantarctic Mountains,Advances in Space Research, 2023,DOI:10.1016/j.asr.2023.04.021.
[102]. 187.Chenhao Ouyang, Junbo Shi*, Wenjie Peng, Xinying Dong, Jiming Guo andYibin Yao，Exploring characteristics of BDS-3 PPP-B2b augmentation messages by a three-step analysis procedure,GPS Solutions,2023,27:119, DOI:10.1007/s10291-023-01457-x.
[103]. 186.Yang Liu,Yibin Yao*, Qingzhi Zhao, Bao Zhang, Sanda Yu and Aiming Yang, Analyzing the Spatiotemporal Characteristics of Extreme Rainfall Using CAPE and GNSS-Derived ZTD across China,IEEE Transactions on Geoscience and Remote Sensing, 2023,DOI：10.1109/TGRS.2023.3238044.
[104]. 185.Chaoqian Xu, Chen Liu*,Yibin Yao, Qin Wang and Xiaoqing Wang，Tibetan zenith wet delay model with refined vertical correction,Journal of Geodesy, 2023,97:31,DOI:10.1007/s00190-023-01719-z.
[105]. 184.Wenjie Peng, RuiTao Chu, Yang Gao, Chaoqian Xu*,Yibin Yaoand Junbo Shi，Estimation and Impact of GLONASS Inter-Frequency Code Bias in SingleFrequency Precise Point Positioning,Advances in Space Research, 2023,DOI:10.1016/j.asr.2023.02.026.
[106]. 183.Peng Chen*, Mingzhu Xiong, Rong Wang,Yibin Yao, Fucai Tang, Hao Chen and Liangcai Qiu,On the ionospheric disturbances in New Zealand and Australia following the eruption of the Hunga Tonga-Hunga Ha’apai volcano on January 15, 2022,Space Weather,2023,DOI:10.1029/2022SW003294.
[107]. 182.Youkun Wang,Yibin Yao*, Jian Kong and Lulu Shan, Ionospheric Disturbances Triggered by China’s Long March 2D Rocket,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023,DOI:10.1109/JSTARS.2023.3238867.
[108]. 181.Peng Chen*, Yuchen Zhang, Rong Wang, Zhiyuan An andYibin Yao, A Novel Approach for Establishing the Global Ionospheric Model With High Spatiotemporal Resolution,IEEE Transactions on Geoscience and Remote Sensing, 2023,DOI：10.1109/TGRS.2023.3238044.
[109]. 180.Mingxian Hu，Yibin Yao*， Maorong Ge，Frank Neitzel，Junbo Shi，Peifen Pan* and Meihao Yang，Random walk multipath method for Galileo realtime phase multipath mitigation,GPS Solutions,2023,27:58, DOI:10.1007/s10291-023-01397-6.
[110]. 179.Ziyun Wang, Bao Zhang*,Yibin Yaoand Wei Zhang，GRACE and mass budget method reveal decelerated ice loss in east Greenland in the past decade,Remote Sensing of Environment, 2023, 286,113450,DOI:10.1016/j.rse.2022.113450.
[111]. 178.Xin Gao andYibin Yao*，A Storm-time Ionospheric TEC Model with Multichannel Features by the Spatiotemporal ConvLSTM Network,Journal of Geodesy, 2023,97:9,DOI:10.1007/s00190-022-01696-9.
[112]. 177.Qingzhi Zhao , Jing Su , Chaoqian Xu* ,Yibin Yao, Xiaoya Zhang and Jifeng Wu, High-precision ZTD model of altitude-related correction,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023,16:609-621,DOI:10.1109/JSTARS.2022.3228917.
[113]. 176.Huan Zhang,Yibin Yao, Mingxian Hu*, Chaoqian Xu, Xiaoning Su , Defu Che and Wenjie Peng,A Tropospheric Zenith Delay Forecasting Model Based on a Long Short-Term Memory Neural Network and Its Impact on Precise Point Positioning,Remote Sensing,2022, 14(23), 5921,DOI:10.3390/rs14235921.
[114]. 175.Peng Chen, Zhiyuan An, Hui Xue,Yibin Yao, Xueying Yang, RongWang and Zhihao Wang,INPPTR: An improved retracking algorithm for inland water levels estimation using Cryosat-2 SARin data,Journal of Hydrology,2022,610,127927, DOI:10.1016/ j.jhydrol.2022.128439.
[115]. 174.Yang Liu,Yibin Yao* and Qingzhi Zhao, Real-Time Rainfall Nowcast Model by Combining CAPE and GNSS Observations,IEEE Transactions on Geoscience and Remote Sensing, 2022,DOI：10.1109/TGRS.2022.3206459.
[116]. 173.Yang Liu ,Yibin Yao*, Qingzhi Zhao and Zufeng Li，Stratified Rainfall Forecast method using GNSS Observations,Atmospheric Research,2022,280:106421，DOI:10.1016/j.atmosres.2022.106421.
[117]. 172.Huan Zhang *,Yibin Yao, Chaoqian Xu, Wei Xu, Junbo Shi,Transformer-Based Global Zenith Tropospheric Delay Forecasting Model,Remote Sensing,2022, 14(14), 3335,DOI:10.3390/rs14143335.
[118]. 171.Yang Wang，Yibin Yao，Jian Kong*，Changzhi Zhai，Xuanxi Chen and Lulu Shan, Analysis of the 3-D Evolution Characteristics of Ionospheric Anomalies During a Geomagnetic Storm Through Fusion of GNSS and COSMIC-2 Data,IEEE Transactions on Geoscience and Remote Sensing, 2022,60:5622412,DOI：10.1109/TGRS.2022.3188995.
[119]. 170.Yang Liu,Qingzhi Zhao*,Zufeng Li,Yibin Yaoand Xin Li，GNSS-derived PWV and meteorological data for short-term rainfall forecast based on Support Vector Machine,Advances in Space Research, 2022,DOI:10.1016/j.asr.2022.05.057.
[120]. 169.Xiongwei Ma,Yibin Yao*, Bao Zhang and Changyong He，Retrieval of high spatial resolution precipitable water vapor maps using heterogeneous earth observation data,Remote Sensing of Environment, 2022, 278,113100,DOI:10.1016/j.rse.2022.113100.
[121]. 168.Xiao Yan，Bao Zhang*，Yibin Yao，Jiabo Yin，Hansheng Wang and Qishun Ran,Jointly using the GLDAS 2.2 model and GRACE to study the severe Yangtze flooding of 2020,Journal of Hydrology,2022,610,127927, DOI:10.1016/j.jhydrol.2022.127927.
[122]. 167.Peng Chen*, Rong Wang,Yibin Yao, Zhiyuan An and Zhihao Wang，A novel ionospheric mapping function modeling at regional scale using empirical orthogonal functions and GNSS data,Journal of Geodesy, 2022,96:34,DOI:10.1007/s00190-022-01624-x.
[123]. 166.Xiongwei Ma,Yibin Yao*, Bao Zhang, Yuxin Qin, Qi Zhang and Hang Zhu, An improved MODIS NIR PWV retrieval algorithm based on an artificial neural network considering the land-cover types,IEEE Transactions on Geoscience and Remote Sensing, 2022,60:5622412,DOI：10.1109/TGRS.2022.3170078.
[124]. 165.Qingzhi Zhao*,Zheng Du,Wanqiang Yao,Yibin Yao,Zufeng Li,Yun Shi,Lichuan Chen,Weiming Liao，Precipitable water vapor fusion method based on artificial neural network,Advances in Space Research, 2022,70(1): 85-95,/j.asr.2022.04.031.
[125]. 164.郑敦勇，姚宜斌*，聂文峰，林东方，梁继，陈春花. 基于机器学习集成算法的电离层层析算法迭代初值精化,地球物理学报, 2022, DOI:10.6038/cjg2022P0893.
[126]. 163.Lulu Shan,Yibin Yao*,Jian Kong*,Changzhi Zhai,Chen Zhou and Xuanxi Chen,Three-Dimensional Reconstruction of Tongue of Ionization during the 11 October 2010 Geomagnetic Storm and Evolution analysis with TIEGCM,Space Weather,2022,DOI:10.1029/2021SW002862.
[127]. 162.Rong Wang，Peng Chen*，Yibin Yao，Zhiyuan An and Zhihao Wang，Research on the ionospheric Diurnal Double-Maxima patterns in Asia-Australian area based on the VTEC observations of BDS geostationary satellites,Advances in Space Research, 2022,DOI:10.1016/j.asr.2022.02.041.
[128]. 161.Yu Lai , Bao Zhang *,Yibin Yao, Lin Liu , Xiao Yan , Yulin He and Shuyuan Ou,Reconstructing the data gap between GRACE and GRACE follow-on at the basin scale using artificial neural network,Science of the Total Environment,2022，823:153770，DOI:10.1016/j.scitotenv.2022.153770.
[129]. 160.Yi Liu, Zhongxin Deng, Tong Xu, Jian Kong, Chen Zhou*,Yibin Yao, Qiong Tang and Zhengyu Zhao,Daytime F Region Echoes at Equatorial Ionization Anomaly Crest during Geomagnetic Quiet Period: Observations from Multi-Instruments,Space Weather,2022,DOI:10.1029/2021SW003002.
[130]. 159.Yu Lai , Bao Zhang *,Yibin Yaoand Junyu Li,Quantitatively Analyzing the Impacts of Seasonal Water Storage Changes in the Three Gorges Reservoir on Nearby Crust,Pure and Applied Geophysics,2022，179, 817–831，DOI:10.1007/s00024-021-02928-3.
[131]. 158.Bao Zhang，Yibin Yao* and Yulin He,Bridging the data gap between GRACE and GRACE-FO using artificial neural network in Greenland,Journal of Hydrology,2022,608,127614,DOI:10.1016/j.jhydrol.2022.127614.
[132]. 157.Qingzhi Zhao* , Jing Su，Zufeng Li，Pengfei Yang andYibin Yao, Adaptive aerosol optical depth forecasting model using GNSS observation,IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:4105009,DOI:10.1109/TGRS.2021.3129159.
[133]. 156.Qingzhi Zhao* , Zheng Du, Zufeng Li, Wanqiang Yao andYibin Yao, Two-step method of surface-based high-precision PET retrieval,IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5801510,DOI:10.1109/TGRS.2021.3120742.
[134]. 155.Peng Chen*，Hang Liu，Michael Schmidt，Yibin Yaoand Wanqiang Yao, Near Real-Time Global Ionospheric Modeling Based on an Adaptive Kalman Filter State Error Covariance Matrix Determination Method,IEEE Transactions on Geoscience and Remote Sensing, 2022,60:5800812,DOI:10.1109/TGRS.2021.3091705.
[135]. 154.Qingzhi Zhao* , Pengfei Yang , Wanqiang Yao andYibin Yao, Adaptive AOD Forecast Model Based on GNSS-Derived PWV and Meteorological Parameters,IEEE Transactions on Geoscience and Remote Sensing, 2022,60:5800610,DOI:10.1109/TGRS.2021.3099155.
[136]. 153.Qingzhi Zhao* , Yang Liu , Wanqiang Yao andYibin Yao, Hourly Rainfall Forecast Model Using Supervised Learning Algorithm,IEEE Transactions on Geoscience and Remote Sensing, 2022,60:4100509,DOI:10.1109/TGRS.2021.3054582.
[137]. 152.Qishun Ran, Bao Zhang*,Yibin Yao, Xiao Yan and Junyu Li，Editing arcs to improve the capacity of GNSS-IR for soil moisture retrieval in undulating terrains,GPS Solutions,2022,26:19, DOI:10.1007/s10291-021-01206-y.
[138]. 151.Xiongwei Ma，Yibin Yao*，Bao Zhang，Mengjia Yang and Hang Liu，Improving the accuracy and spatial resolution of precipitable water vapor dataset using a neural network-based downscaling method,Atmospheric Environment,2022,269:118850，DOI:10.1016/j.atmosenv.2021.118850.
[139]. 150.Chen Liu,Yibin Yao*and Chaoqian Xu，Conventional and neural network-based water vapor density model for GNSS troposphere tomography,GPS Solutions,2022,26:10, DOI:10.1007/s10291-021-01188-x.
[140]. 149.Xiongwei Ma，Yibin Yao*，Bao Zhang and Zheng Du，FY-3A/MERSI precipitable water vapor reconstruction and calibration using multi-source observation data based on a generalized regression neural network,Atmospheric Research,2022,265:105893，DOI:10.1016/j.atmosres.2021.105893.
[141]. 148.Xinzhe Wang，Yibin Yao*，Chaoqian Xu，Yinzhi Zhao and Huan Zhang,An Improved Single-Epoch Attitude Determination Method for Low-Cost Single-Frequency GNSS Receivers,Remote Sensing,2021,13（14）,2746,DOI:10.3390/rs13142746.
[142]. 147.Qingzhi Zhao*,KangLiu，Zufeng Li，Yang Liu andYibinYao, A novel ENSO monitoring index and its potential for drought application,Journal of Atmospheric and Solar-Terrestrial Physics,2021,225:105762,DOI:10.1016/j.jastp.2021.105762.
[143]. 146.Qingzhi Zhao*，Yongjie Ma，Zufeng Li andYibin Yao, Retrieval of a high-precision drought monitoring index by using GNSS-derived ZTD and temperature,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,14:8730-8743,DOI:10.1109/JSTARS.2021.3106703.
[144]. 145.Xiao Yan，Bao Zhang*，Yibin Yao，Yuanjian Yang，Junyu Li and Qishun Ran,GRACE and land surface models reveal severe drought in eastern China in 2019,Journal of Hydrology,2021,601,126640,DOI:10.1016/j.jhydrol.2021.126640.
[145]. 144.Liying Cao, Bao Zhang, Junyu Li*,Yibin Yao, Lilong Liu, Qishun Ran and Zhaohui Xiong,A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products,Remote Sensing,2021,13（13）,2644,DOI:10.3390/rs13132644.
[146]. 143.Changzhi Zhai, Xueling Shi*, Wenbin Wang, Michael D. Hartinger,Yibin Yao, Wenjie Peng, Dong Lin, J. Michael Ruohoniemi, Joseph B.H. Baker.Characterization of High-m ULF Wave Signatures in GPS TEC Data,Geophysical Research Letters, 2021,48, e2021GL094282,DOI:10.1029/2021GL094282.
[147]. 142.Changzhi Zhai，Yibin Yaoand Jian Kong*，Three-dimensional reconstruction of seismo-traveling ionospheric disturbances after March 11, 2011, Japan Tohoku earthquake,Journal of Geodesy, 2021,95:77,DOI:10.1007/s00190-021-01533-5.
[148]. 141.Xiongwei Ma,Yibin Yao*and Qingzhi Zhao,Regional GNSS-Derived SPCI: Verification and Improvement in Yunnan, China,Remote Sensing,2021,13（10）,1918,DOI:10.3390/rs13101918.
[149]. 140.Xiao Yan,Yibin Yao*, Yuanjian Yang, Liang Zhang* and Bao Zhang，Recent trends in precipitation over the Myanmar Coast during onset and withdrawal phases of monsoon season,Theoretical and Applied Climatology,2021,145:363-376,DOI:10.1007/s00704-021-03613-0.
[150]. 139.Xiongwei Ma，Qingzhi Zhao*，Yibin Yao，WanqiangYao，A novel method of retrieving potential ET in China,Journal of Hydrology,2021,575,1065-1072,DOI:10.1016/j.jhydrol.2021.126271.
[151]. 138.Tianyang Hu,Yibin Yao*and Jian Kong, Study of Spatial and Temporal Variations of Ionospheric Total Electron Content in Japan, during 2014–2019 and the 2016 Kumamoto Earthquake,Sensors, 2021, 21(6), 2156，DOI:10.3390/s21062156(封面文章).
[152]. 137.Zhangyu Sun , Bao Zhang* andYibin Yao,Improving the Estimation of Weighted Mean Temperature in China Using Machine Learning Methods,Remote Sensing,2021,13(5),1016,DOI:10.3390/rs13051016.
[153]. 136.Pengfei Yang，Qingzhi Zhao，Zufeng Li，Wanqiang Yao andYibinYao，High temporal resolution global PWV dataset of 2005-2016 by using a neural network approach to determine the mean temperature of the atmosphere,Advances in Space Research, 2021,67(10):3087-3097,DOI:10.1016/j.asr.2021.01.054.
[154]. 135.Zihuai Guo,Yibin Yao*, Jian Kong, Gang Chen, Chen Zhou,Qi Zhang, Lulu Shan and Chen Liu, Accuracy Analysis of International Reference Ionosphere 2016 and NeQuick2 in the Antarctic,Sensors, 2021, 21(4), 1551，DOI:10.3390/s21041551.
[155]. 134.Bao Zhang,Yibin Yao*, Lin Liu, Yuanjian Yang,Interannual ice mass variations over the Antarctic ice sheet from 2003 to 2017 were linked to ElNio-Southern Oscillation,Earth and Planetary Science Letters, 2021,560,116796,DOI:10.1016/j.epsl.2021.116796.
[156]. 133.Bao Zhang andYibin Yao*，Precipitable water vapor fusion based on a generalized regression neutral network,Journal of Geodesy, 2021,95:36,DOI:10.1007/s00190-021-01482-z.
[157]. 132.Dunyong Zheng,Yibin Yao*, Wenfeng Nie, Mengguang Liao, Ji Liang and Minsi Ao, Ordered Subsets-constrained ART Algorithm for Ionospheric Tomography by Combining VTEC Data,IEEE Transactions on Geoscience and Remote Sensing,2021,59(8):7051-7061,DOI:10.1109/TGRS.2020.3029819.
[158]. 131.Hai Peng,Yibin Yao*, Jian Kong, Chen Zhou and Chungyen Kuo, GNSS based statistical analysis of ionospheric anomalies during typhoon landings in Taiwan/Japan,IEEE Transactions on Geoscience and Remote Sensing, 2021,59(6):5272-5279,DOI:10.1109/TGRS.2020.3004829.
[159]. 130.Jian Kong，Lulu Shan，Chen Zhou，Yibin Yao*， Jiachun An and Zemin Wang, An Improved Computerized Ionospheric Tomography Model Fusing 3-D Multisource Ionospheric Data Enabled Quantifying the Evolution of Magnetic Storm,IEEE Transactions on Geoscience and Remote Sensing, 2021,59(5):3725-3736,DOI:10.1109/TGRS.2020.3022949.
[160]. 129.Dunyong Zheng,Yibin Yao*, Wenfeng Nie, Nan Chu, Dongfang Lin and Minsi Ao ，A new three-dimensional computerized ionospheric tomography model based on a neural network,GPS Solutions,2021,25:10, DOI:10.1007/s10291-020-01047-1.
[161]. 128.Yibin Yao, Xuanxi Chen, Jian Kong*, Chen Zhou, Lei Liu, Lulu Shan,Zihuai Guo, An updated experiential model of IG indices over the Antarctic region via the assimilation of IRI2016 with GNSS TEC,IEEE Transactions on Geoscience and Remote Sensing, 2021,59(2):1700-1717,DOI:10.1109/TGRS.2020.2999132.
[162]. 127.Lei Liu*，Shasha Zou，Yibin Yaoand Zihan Wang,Forecasting global ionospheric total electron content (TEC) using deep learning approach,Space Weather,2020,18, e2020SW002501,DOI:10.1029/2020SW002501.
[163]. 126.Qingzhi Zhao*,Zheng Du,Wanqiang Yao andYibinYao,Hybrid precipitable water vapor fusion model in China,Journal of Atmospheric and Solar-Terrestrial Physics,2020,208:105387,DOI:10.1016/j.jastp.2020.105387.
[164]. 125.Yang Wang ,Yibin Yao, Liang Zhang* and Mingshan Fang,A Refinement Method of Real-Time Ionospheric Model for China,Remote Sensing,2020,12(20),3354,DOI:10.3390/rs12203354.
[165]. 124.Qingzhi Zhao*, Xiongwei Ma, Wanqiang Yao,Yang Liu andYibin Yao, A drought monitoring method based on precipitable water vapor and precipitation ,Journal of Climate, 2020, 33 (24): 10727–10741,DOI:10.1175/JCLI-D-19-0971.1.
[166]. 123.Changzhi Zhai, Gang Lu,Yibin Yao*, Wenbin Wang, Shunrong Zhang, Jing Liu,Wenjie Peng, Jian Kong andJun Chen,3D Tomographic Reconstruction of Storm-Enhanced Density (SED) Plume During March 17, 2013 Storm,Journal of Geophysical Research-Space Physics, 2020,125,DOI:10.1029/2020JA028257(封面文章).
[167]. 122.Lei Liu* ,Yibin Yao* and Ercha Aa,Multi-Instrumental Observations of Early Morning Equatorial Plasma Depletions During the 2017 Memorial Weekend Storm,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2020,13,5351-5357,DOI:10.1109/JSTARS.2020.3022748.
[168]. 121.Yibin Yao*, Chen Liu ，Chaoqian Xu，Yu Tan and Mingshan Fang,A Refined Tomographic Window for GNSS-Derived Water Vapor Tomography,Remote Sensing,2020,12(18),2999,DOI:10.3390/rs12182999.
[169]. 120.Bao Zhang, Lin Liu,Yibin Yao*,Tonie van Dam, Shfaqat Abbas Khan,Improving the estimate of the secular variation of Greenland ice mass in the recent decades by incorporating a stochastic process,Earth and Planetary Science Letters,2020,549,116518, DOI:10.1016/j.epsl.2020.116518.
[170]. 119.Yibin Yao*, Chen Liu and Chaoqian Xu，A New GNSS-Derived Water Vapor Tomography Method Based on Optimized Voxel for Large GNSS Network,Remote Sensing,2020,12(14),2306,DOI:10.3390/rs12142306.
[171]. 118.Qingzhi Zhao*, Xiongwei Ma andYibin Yao，Preliminary result of capturing the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong,Advances in Space Research, 2020,66(7):1537-1550,DOI:10.1016/j.asr.2020.06.013.
[172]. 117.Qingzhi Zhao*,Zufeng Li,Wanqiang Yao andYibinYao,An improved ridge estimation (IRE) method for troposphere water vapor tomography,Journal of Atmospheric and Solar-Terrestrial Physics,2020,207:105366,DOI:10.1016/j.jastp.2020.105366.
[173]. 116.Yiyong Luo,Yibin Yao*, Lulu Shan, Analysis of ionospheric disturbances of the 2018 Bering Sea Meteor explosion based on GPS observations,Sensors, 2020,20(11), 3201，DOI:10.3390/s20113201.
[174]. 115.Junyu Li, Bao Zhang *,Yibin Yao, Lilong Liu, Zhangyu Sun, Xiao Yan，A refined regional model for estimating pressure, temperature, and vapor pressure based on ERA5 reanalysis data,Remote Sensing,2020,12(11),1713,DOI:10.3390/rs12111713.
[175]. 114.Yibin Yao, Changzhi Zhai*, Jian Kong*, Cunjie Zhao, Yiyong Luo and Lei Liu，An improved constrained simultaneous iterative reconstruction technique for ionospheric tomography,GPS Solutions,2020,24:60,DOI:10.1007/s10291-020-0981-4.
[176]. 113.Qingzhi Zhao*, Wanqiang Yao,Yibin YaoandXin Li，An improved GNSS tropospheric tomography method with the GPT2w model,GPS Solutions,2020,24:60,DOI:10.1007/s10291-020-0974-4.
[177]. 112.Chaoqian Xu,Yibin Yao, Junbo Shi*, Qi Zhang and Wenjie Peng，Development of Global Tropospheric Empirical Correction Model with High Temporal Resolution,Remote Sensing,2020,12(4),721,DOI:10.3390/rs12040721.
[178]. 111.Qingzhi Zhao* , Yang Liu，Wanqiang Yao，Xiongwei Ma andYibin Yao，A Novel ENSO Monitoring Method using Precipitable Water Vapor and Temperature in Southeast China,Remote Sensing,2020,12(4),649,DOI:10.3390/rs12040649.
[179]. 110.Qingzhi Zhao*，Yang Liu，Xiongwei Ma，Wanqiang Yao，Yibin Yaoand Xin Li, An Improved Rainfall Forecasting Model Based on GNSS Observations,IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(7):4891-4900,DOI:10.1109/TGRS.2020.2968124.
[180]. 109.Zheng Du，Qingzhi Zhao*，Wanqiang Yao andYibinYao,Improved GPT2w (IGPT2w) model for site specific zenith tropospheric delay estimation in China,Journal of Atmospheric and Solar-Terrestrial Physics,2020,198:105202,DOI:10.1016/j.jastp.2020.105202.
[181]. 108.Qingzhi Zhao*,Xiongwei Ma,Wanqiang Yao,Yang LiuandYibin Yao, Anomaly variation of vegetation and its influencing factors in Mainland China during ENSO period,IEEE ACCESS，2020,8:721-734,DOI:10.1109/ACCESS.2019.2962787.
[182]. 107.Qingzhi Zhao*, Pengfei Yang, Wanqiang Yao andYibin Yao, Hourly PWV Dataset Derived from GNSS Observations in China,Sensors, 2020,20, 231，DOI:10.3390/s20010231.
[183]. 106.Lei Liu*，Shasha Zou，Yibin Yaoand Ercha Aa,Multi-scale ionosphere responses to the May 2017 magnetic storm over the Asian sector,GPS Solutions,2020,24:26,DOI:10.1007/s10291-019-0940-1.
[184]. 105.Peng Chen，Lixia Liu，YibinYaoand Wanqiang Yao，A global empirical orthogonal function model of plasmaspheric electron content,Advances in Space Research,2020,65(1):138-151,DOI:10.1016/j.asr.2019.09.039.
[185]. 104.Yang Liu, Qingzhi Zhao*, Wanqiang Yao, Xiongwei Ma,Yibin Yaoand Lilong Liu.Short-term rainfall forecast model based on the improved BP–NN algorithm,Scientific Reports, 2019,9:19751,DOI:10.1038/s41598-019-56452-5.
[186]. 103.Bao Zhang,Yibin Yao*, Linyang Xin and Xingyu Xu，Precipitable water vapor fusion: an approach based on spherical cap harmonic analysis and Helmert variance component estimation,Journal of Geodesy, 2019,93(12):2605-2620,DOI:10.1007/s00190-019-01322-1.
[187]. 102.Qingzhi Zhao *, Xiongwei Ma, Wanqiang Yao, Yang Liu, Zheng Du, Pengfei Yang andYibin Yao, Improved drought monitoring index using GNSS-derived precipitable water vapor over the Loess Plateau area,Sensors, 2019,19, 5566，DOI:10.3390/s19245566.
[188]. 101.Qingzhi Zhao* , Xiongwei Ma, Wanqiang Yao andYibin Yao，A New Typhoon-Monitoring Method Using PrecipitationWater Vapor,Remote Sensing,2019,11,2845,DOI:10.3390/rs11232845.
[189]. 100.Zhangyu Sun, Bao Zhang* andYibin Yao,An ERA5‐Based Model for Estimating Tropospheric Delay and Weighted Mean Temperature Over China With Improved Spatiotemporal Resolutions.Earth and Space Science,2019,6(10): 1926-1941,DOI:10.1029/2019EA000701.
[190]. 99.Yi Liu , Chen Zhou*, Qiong Tang, Jian Kong, Xudong Gu, Binbin Ni,Yibin Yaoand Zhengyu Zhao,Evidence of Mid- and Low-Latitude Nighttime Ionospheric E–F Coupling: Coordinated Observations of Sporadic E Layers,F-Region Field-Aligned Irregularities, and Medium-Scale Traveling Ionospheric Disturbances,IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(10):7547-7557,DOI:10.1109/TGRS.2019.2914059.
[191]. 98.Lei Liu，Yibin Yao*，Shasha Zou，Jian Kong，Lulu Shan，Changzhi Zhai，Cunjie Zhao，Youkun Wang，Ingestion of GIM-derived TEC data for updating IRI-2016 driven by effective IG indices over the European region,Journal of Geodesy, 2019,93(10):1911-1930,DOI:10.1007/s00190-019-01291-5.
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