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Yikun Liu

Biographic Data

ID6878559
NAMEYikun Liu
GIVEN NAMESYikun
FAMILY NAMELiu
SIGNATURELIU Y
AFFILIATIONSPeking University
ORCID0000-0002-2280-7660
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A Cross-Modal Deep Feature Fusion Framework Based on Ensemble Learning for Land Use Classification

    Open Access•Xiaohuan Wu, Houji Qi et al.•ARTICLE•ISPRS International Journal of…•2025

    Land use classification based on multi-modal data fusion has gained significant attention due to its potential to capture the complex characteristics of urban environments. However, effectively extracting and integrating discriminative features derived from heterogeneous geospatial data remain challenging. This study proposes an ensemble learning framework for land use classification by fusing cross-modal deep features from both physical and soci…

  • Interannual variability of summertime aerosol optical depth over East Asia during 2000–2011

    Open Access•Yikun Liu, Junfeng Liu et al.•ARTICLE•Environmental Research Letters•2013

    Aerosols degrade air quality, perturb atmospheric radiation, and impact regional and global climate. Due to the rapid increase in anthropogenic emissions, aerosol loading over East Asia (EA) is markedly higher than other industrialized regions, which motivates a need to characterize the evolution of aerosols and understand the associated drivers. Based on the MISR satellite data during 2000–2011, a wave-like interannual variation of summertime ae…

No prominent works on this page.

  • Interannual variability of summertime aerosol optical depth over East Asia during 2000–2011

    Open Access•Yikun Liu, Junfeng Liu et al.•ARTICLE•Environmental Research Letters•2013

    Aerosols degrade air quality, perturb atmospheric radiation, and impact regional and global climate. Due to the rapid increase in anthropogenic emissions, aerosol loading over East Asia (EA) is markedly higher than other industrialized regions, which motivates a need to characterize the evolution of aerosols and understand the associated drivers. Based on the MISR satellite data during 2000–2011, a wave-like interannual variation of summertime ae…

  • A Cross-Modal Deep Feature Fusion Framework Based on Ensemble Learning for Land Use Classification

    Open Access•Xiaohuan Wu, Houji Qi et al.•ARTICLE•ISPRS International Journal of…•2025

    Land use classification based on multi-modal data fusion has gained significant attention due to its potential to capture the complex characteristics of urban environments. However, effectively extracting and integrating discriminative features derived from heterogeneous geospatial data remain challenging. This study proposes an ensemble learning framework for land use classification by fusing cross-modal deep features from both physical and soci…

Aerosol (1 work) · Air quality index (1 work) · Atmospheric aerosols and clouds (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric Ozone and Climate (1 work) · Atmospheric sciences (1 work) · Autoencoder (1 work) · China (1 work) · Climate change (1 work) · Climatology (1 work)

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