Yang Liu

    flowchart
    A[Yang Liu]
    AC["Associated Concepts (25)"]
    AW["Authored Works (15)"]
    CA["Linked Co-Authors (12)"]
    CI["Linked Collaborating Institutions (18)"]
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    click CA "#co-authors"
    click CI "#collaborating-institutions"

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ORCiD

https://orcid.org/0000-0001-5477-2186

OpenAlex ID

https://openalex.org/A5075943191 (API record)

Associated Concepts [?]

• Biology
• Chemistry
• Medicine
• Physics
• Geography
• Environmental science
• Internal medicine
• Meteorology
• Ecology
• Organic chemistry
• Geology
• Engineering
• Mathematics
• Computer science
• Statistics
• Pathology
• Environmental health
• Astronomy
• Endocrinology
• Aerospace engineering
• Sociology
• Psychology
• Satellite
• Genetics
• Demography

Authored Works

sorted by decreasing year, and then by display-name

• Satellite-Based Modeling of Long-Term Particulate Elemental Carbon in China
• Long-Term Exposure to Particulate Sulfate and Mortality in China
• In-Situ Air Quality Monitoring in Ethiopia for the Multi-Angle Imager for Aerosols (MAIA) Investigation: Spatial and Temporal Trends in Levels and Composition of Ambient PM2.5
• Improved hybrid machine learning approach for California's wildfires PM2.5 prediction using GOES-R AOD
• GOES-R PM2.5 Evaluation and Bias Correction - A Deep Learning Approach
• Estimating Daily PM2.5 Mass and Speciation Concentrations with Prediction Uncertainty Using a MAIA-like Algorithm
• Comparison of MISR's and MAIA's Observing Strategies for Mapping Speciated Particulate Matter Air Pollution
• Combining Machine Learning and Numerical Simulation for Near-Real-Time High-Resolution PM2.5 Concentration Forecast
• Association between wildfire exposure and lung cancer survival in US
• A Machine Learning Model to Estimate Wildfire Smoke PM2.5 Concentrations in the Contiguous U.S. from 2007 to 2018
• The public health threat of particulate nitrate air pollution in China
• Predicting spatiotemporally-resolved mean air temperature over Sweden from satellite data using an ensemble model
• Development Status of the Multi-Angle Imager for Aerosols (MAIA) Surface-Based Particulate Matter Measurement Network
• Combining machine learning and numerical simulation for high-resolution PM2.5 concentration forecast
• A machine learning model to estimate ambient PM2.5 concentrations in industrialized highveld region of South Africa

Linked Co-Authors

• A. Lyapustin
• Alqamah Sayeed
• Hai Zhang
• J. Mao
• Jianzhao Bi
• K. Emma Knowland
• K. R. Verhulst
• Kai Chen
• Pawan Gupta
• R. M. Garland
• Randall V. Martin
• Robert C. Levy

Linked Collaborating Institutions

• Addis Ababa University, Ethiopia
• Colorado State University
• Council for Scientific and Industrial Research, South Africa
• Emory University, Georgia
• Fudan University, China
• Jet Propulsion Laboratory
• Morgan State University, Maryland
• NASA Goddard Space Flight Center, Maryland
• NASA Marshall Space Flight Center
• U.S. Environmental Protection Agency, Research Triangle Park, North Carolina
• University of Alabama, Huntsville
• University of Alaska, Fairbanks, Geophysical Institute
• University of California, Davis
• University of Lund, Sweden
• University of Oklahoma, Norman
• University of Washington, Seattle
• Washington University in Saint Louis, Missouri
• Yale University, Connecticut

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