Yang Chen
- ORCiD
- https://orcid.org/0000-0002-9516-8134
- OpenAlex ID
- https://openalex.org/A5074190785 (API record)
Associated Concepts [?]
- Computer science
- Physics
- Mathematics
- Statistics
- Artificial intelligence
- Quantum mechanics
- Engineering
- Machine learning
- Astronomy
- Geology
- Geography
- Geophysics
- Operating system
- Algorithm
- Meteorology
- Astrophysics
- Telecommunications
- Programming language
- Magnetic field
- Chemistry
- Aerospace engineering
- Plasma
- Computer vision
- Biology
- Artificial neural network
Authored Works
sorted by decreasing year, and then by display-name
- Uncertainty Quantification and Global Sensitivity Analysis for CME simulations in the SWMF
- Modeling and Predicting the Equatorial Ionization Anomaly (EIA) Crest
- Matrix Auto-regressive Model for Forecasting Total Electron Content Maps with Applications to the VISTA TEC Database
- Integrated and Interpretable Solar Flare Forecast with AIA and HMI Imaging Data: Application of the Spatial Transformer and Bayesian Neural Network
- Forecast Global Ionospheric TEC Using Modified U-Net and VISTA TEC Dataset
- Developing the Next Generation Space Weather Modeling Framework: Year 2
- Connecting White Light Images with In-situ Observations of Solar Wind Quantities for CME Simulations in the SWMF
- Beyond imperviousness- Investigating the influence of urban form and socioeconomic characteristics on urban stream water quality in the Continental United States
- Reconstructing and Predicting Ionospheric TEC: The VISTA Dataset and Matrix-Based Auto-regressive Model
- Machine Learning-Based Forecasting of SEP Events Using the Recently Published MDI Data.
- Machine Learning Forecast and Statistical Exploration of Equatorial Ionization Anomaly Based on Total Electronic Content
- Interpretable Machine Learning Methods for forecasting the SYM-H Index
- Interpretable Flare Prediction with Integrated Data: SHARP parameters, Spatial Statistics Features and HMI Images
- Global Sensitivity Analysis for Solar-Wind Simulations in the Space Weather Modelling Framework
- Developing the Michigan Sun-to-Earth Model with Data Assimilation and Quantified Uncertainty
Linked Co-Authors
- A. J. Coster
- Aniket Jivani
- Daniel Iong
- Enrico Camporeale
- Gábor Tóth
- Jiaen Ren
- Meng Jin
- Shasha Zou
- T. I. Gombosi
- Tuija Pulkkinen
- William S. Currie
- Xun Huan
- Zi Han Wang
Linked Collaborating Institutions
- Haystack Observatory
- New Jersey Institute of Technology
- Peking University, China
- SETI Institute, California
- Stanford University, California
- University of Colorado, Boulder
- University of Michigan
- University of Michigan, Department of Atmospheric Oceanic and Space Sciences
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