Jingyi Huang

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    A[Jingyi Huang]
    AC["Associated Concepts (19)"]
    AW["Authored Works (12)"]
    CA["Linked Co-Authors (10)"]
    CI["Linked Collaborating Institutions (3)"]
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ORCiD

https://orcid.org/0000-0002-1209-9699

OpenAlex ID

https://openalex.org/A5021573023 (API record)

Associated Concepts [?]

• Biology
• Geology
• Chemistry
• Physics
• Engineering
• Computer science
• Environmental science
• Ecology
• Mathematics
• Geography
• Soil science
• Quantum mechanics
• Medicine
• Soil water
• Organic chemistry
• Statistics
• Biochemistry
• Materials science
• Paleontology

Authored Works

sorted by decreasing year, and then by display-name

• Spatial modeling of Oak Wilt (Bretziella fagacearum) distribution and controlling factors in Northern Wisconsin, USA using environmental datasets derived from remote sensing
• Seasonal Monitoring of an Infiltration Experiment Using Time-Lapse Geophysics and Chemical Characterization to Understand Nitrate Transport in the Vadose Zone
• Meta-analysis of wildfire science applying network analysis and topic modeling
• Machine Learning Based High-resolution Soil Moisture Mapping and Spatial-temporal Analysis across the Contiguous USA: The mlhrsm Package
• Machine Learning Based High Resolution Soil Moisture (ML-HRSM) for Identifying Prevent Planting Fields
• Investigating Foliar Functional Traits and Evolutional Strategies Responses to Environmental Gradients across Five Tree Genera in Eastern NEON Domains, USA
• Do Land Surface, Vegetation, and Climate have Causality with Wildfire in Boreal Forests?
• A Low-cost Low-power Wireless Sensor Network for Soil CO2 Emission Monitoring over Fine Spatial and Temporal Scales
• Soil-dependent responses of US crop yields to climate variability and depth to groundwater
• Soil Moisture Plays Crucial Role in Delineating and Forecasting Agricultural and Meteorological Drought.
• Hotspots and Coldspots of Soil Carbon Change at NEON Sites: a Spatial-temporal Framework for Benchmarking Carbon Cycle Models
• Characterizing soil microbial properties using MIR spectra across 12 NEON eco-climatic domains

Linked Co-Authors

• Ankur R. Desai
• Carla Romano
• Dante Fratta
• Jie Hu
• Kyle R. Kovach
• Martha C. Anderson
• Michael Cardiff
• Sumanta Chatterjee
• Yakun Zhang
• Zachary Freedman

Linked Collaborating Institutions

• Los Alamos National Laboratory, New Mexico
• U.S. Department of Agriculture
• University of Wisconsin, Madison

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