Faculty & Staff Directory
- Associate Professor
PhD, University of Southern California, 1990
Ruixin Yang is an Associate Professor of the Department of Geography and Geoinformation Science in the College of Science at George Mason University. His research areas range from fluid dynamics, to astrophysics and general relativity, to data sciences, and then to data information systems, data analysis, and earth systems science. In recent years, he led a software developer team in developing several prototypes for Geoinformation systems for supporting online data search, access, and analysis. His current research interest includes Earth system science, and advanced data analysis techniques, data mining for intensity prediction of tropical cyclones, and governmental agriculture data integration and analysis. He has been the PI for several projects sponsored by the USDA on commodity data processing and integration, farm income and wealth data and model support, dissemination of global food security and model, etc. He has helped to organize the past Agro-Geoinformatics conferences and was co-PI for NIFA support of Agro-Geoinformatics 2017, 2018.
Dr. Yang is also the Graduate Coordinator for the GGS Department.
Tropical cyclone (hurricane) related topics; climate changes
Spatial data analysis; data models and formats; advanced data analysis techniques; time series analysis
Li, Yun, Ruixin Yang, Hui Su, and Chaowei Yang. 2022. "Discovering Precursors to Tropical Cyclone Rapid Intensification in the Atlantic Basin Using Spatiotemporal Data Mining" Atmosphere 13, no. 6: 882. https://doi.org/10.3390/atmos13060882. IF: 2.686
Lin, Shuo-yu MS, Weiyu Zhou, BS, J Randy Koch, PhD, Andrew J Barnes, PhD, Ruixin Yang, PhD, Hong Xue, PhD, The Association Between Tobacco Retailer Outlet Density and Prevalence of Cigarette Smoking in Virginia, Nicotine & Tobacco Research, 2022;, ntac154, https://doi.org/10.1093/ntr/ntac154. IF: 3.786
Wei, Yijun, Ruixin Yang, Jason Kinser, Igor Griva, and Olga Gkountouna. 2022. "An Advanced Artificial Intelligence System for Identifying the Near-Core Impact Features to Tropical Cyclone Rapid Intensification from the ERA-Interim Data" Atmosphere 13, no. 5: 643. https://doi.org/10.3390/atmos13050643.
Wei, Yijun, and Ruixin Yang. 2021. "An Advanced Artificial Intelligence System for Investigating Tropical Cyclone Rapid Intensification with the SHIPS Database" Atmosphere, 12, no. 4: 484. https://doi.org/10.3390/atmos12040484.
Sun, Donglian, Yu Li, Xiwu Zhan, Chaowei Yang, Ruixin Yang, 2021. “Integrating optical and microwave satellite observations for high resolution soil moisture estimate and applications in CONUS drought analyses,” Journal of Geography and Cartography, 4(1), p93-104.
Di, L., Ustundag, B. B., Guo, L., Shang, J., and Yang, R., “Foreword to the Special Issue on Digital Innovations in Agriculture Research and Applications,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6519–6523, 2020. doi:10.1109/JSTARS.2020.3044424.
Zhang, R., Tian, Q., Jiang, L., Crooks, A. T., Qj, S. and Yang, R. (2018), Projecting Cropping Patterns around Poyang Lake and Prioritizing Areas for Policy Intervention to Promote Rice: A Cellular Automata Model, Land Use Policy, 74: 248-260.
Yang, Ruixin, Allison Fairley, Wonsun Park, 2018: "The Centennial Variation of El Nino Impact on Atlantic Tropical Cyclones," Earth Interactions, Volume 22 (2018), Page 1.
Batarseh, Feras A. and Ruixin Yang, "Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence," edited, September 21, 2017, Academic Press, San Diego, USA
Yang, R, 2016: "A Systematic Classification Investigation of Rapid Intensification of Atlantic Tropical Cyclones with the SHIPS Database," Wea. Forecasting. Vol. 31, No. 2. pp 495-513.
Yang, R., D. Sun and J. Tang, 2008: "A "sufficient" condition combination for rapid intensifications of tropical cyclones," Geophys. Res. Lett., 35, L20802, dos:10.1029/2008GL035222. 16 October 2008.