Assoc. Prof. Dr. Wenyuan Zhang | Global Earth Observation | Best Researcher Award
Associate Professor | China University of Mining and Technology | China
Assoc. Prof. Dr. Wenyuan Zhang serves as an Associate Professor and Master’s Supervisor at the School of Environment and Spatial Informatics, China University of Mining and Technology (CUMT). He earned his Ph.D. through the prestigious CUMT–ETH Zurich Joint Program and completed his postdoctoral research at the Xi’an Research Institute of Surveying and Mapping. His research focuses on GNSS remote sensing, multi-scale meteorology, water vapor detection, and climate change applications, emphasizing advanced data fusion and satellite geodesy. Assoc. Prof. Dr. Wenyuan Zhang has authored over 16 peer-reviewed publications, including 10 SCI-indexed papers, six of which appear in top-tier CAS journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Geodesy, and GPS Solutions. His innovative work on multi-source resilient fusion techniques has significantly advanced the precision of GNSS water vapor retrieval, providing vital insights into atmospheric processes and climate monitoring. With a total of 210 citations, an h-index of 8, and an i10-index of 7, he has made a notable mark in the field of environmental and geodetic sciences. His achievements include winning the Jiangsu Outstanding Doctoral Dissertation Award and the National Ph.D. Scholarship. Beyond his research, Assoc. Prof. Dr. Wenyuan Zhang actively contributes as a reviewer for leading international journals and serves as a member of the IAG Working Group, promoting interdisciplinary collaboration in geodesy and environmental science. His dedication to advancing GNSS-based climate applications continues to strengthen the integration of geospatial technologies in global climate research.
Profiles: Google Scholar | Orcid | Researchgate
Featured Publications
Crocetti, L., Schartner, M., Zus, F., Zhang, W., Moeller, G., Navarro, V., See, L., et al. (2024). Global, spatially explicit modelling of zenith wet delay with XGBoost. Journal of Geodesy, 98(4), 23.
Zhang, W., Zhang, S., Zheng, N., Ding, N., & Liu, X. (2021). A new integrated method of GNSS and MODIS measurements for tropospheric water vapor tomography. GPS Solutions, 25(2), 79.
Zhang, W., Zhang, S., Ding, N., Holden, L., Wang, X., & Zheng, N. (2021). GNSS-RS tomography: Retrieval of tropospheric water vapor fields using GNSS and RS observations. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–13.
Zhang, W., Zhang, S., Ding, N., & Zhao, Q. (2020). A tropospheric tomography method with a novel height factor model including two parts: Isotropic and anisotropic height factors. Remote Sensing, 12(11), 1848.
Liu, X., Zhang, S., Zhang, Q., Zheng, N., Zhang, W., & Ding, N. (2021). Theoretical analysis of the multi-GNSS contribution to partial ambiguity estimation and R-ratio test-based ambiguity validation. GPS Solutions, 25(2), 52.