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Yanhan Li

Biographic Data

ID8964676
NAMEYanhan Li
GIVEN NAMESYanhan
FAMILY NAMELi
SIGNATURELI Y
AFFILIATIONSBeijing Forestry University
ORCID0009-0007-4294-1588
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Thermal adaptation, perception and regulation for the elderly under intense urban heat

    Open Access•Yanhan Li, Li Liang et al.•ARTICLE•Sustainable Cities and Society•2026

  • Automated Multi-View Multi-Modal Assessment of Covid-19 Patients Using Reciprocal Attention and Biomedical Transform

    Open Access•Yanhan Li, Hongyun Zhao et al.•ARTICLE•Frontiers in Public Health•2022

    Automated severity assessment of coronavirus disease 2019 (COVID-19) patients can help rationally allocate medical resources and improve patients' survival rates. The existing methods conduct severity assessment tasks mainly on a unitary modal and single view, which is appropriate to exclude potential interactive information. To tackle the problem, in this paper, we propose a multi-view multi-modal model to automatically assess the severity of CO…

No prominent works on this page.

  • Automated Multi-View Multi-Modal Assessment of Covid-19 Patients Using Reciprocal Attention and Biomedical Transform

    Open Access•Yanhan Li, Hongyun Zhao et al.•ARTICLE•Frontiers in Public Health•2022

    Automated severity assessment of coronavirus disease 2019 (COVID-19) patients can help rationally allocate medical resources and improve patients' survival rates. The existing methods conduct severity assessment tasks mainly on a unitary modal and single view, which is appropriate to exclude potential interactive information. To tackle the problem, in this paper, we propose a multi-view multi-modal model to automatically assess the severity of CO…

  • Thermal adaptation, perception and regulation for the elderly under intense urban heat

    Open Access•Yanhan Li, Li Liang et al.•ARTICLE•Sustainable Cities and Society•2026

AI in cancer detection (1 work) · Artificial Intelligence (1 work) · Beijing (1 work) · Climate Change and Health Impacts (1 work) · Computer Science (1 work) · COVID-19 diagnosis using AI (1 work) · Data mining (1 work) · Disease (1 work) · Machine learning (1 work) · Medicine (1 work)

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