Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Victor O K Li

Biographic Data

ID6717447
NAMEVictor O K Li
GIVEN NAMESVictor O K
FAMILY NAMELi
SIGNATURELI V O K
AFFILIATIONSUniversity of Hong Kong
ORCID0000-0002-1380-9445
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS13
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2024
H-INDEX3
  • Interpretable AI-driven causal inference to uncover the time-varying effects of PM2.5 and public health interventions on Covid-19 infection rates

    Open Access•Yang Han, Jacqueline C K Lam et al.•ARTICLE•Humanities and Social Sciences…•2024

    Although COVID-19 appears to be better controlled since its initial outbreak in 2020, it continues to threaten citizens in different communities due to the unpredictability of new strains. The global viral pandemic has resulted in over 700 million infections and 7 million deaths worldwide, with 22 million cases occurring in the United Kingdom (UK). Emerging evidence has suggested that outdoor PM 2.5 pollutants can significantly contribute to COVI…

  • What dictates income in New York City? SHAP analysis of income estimation based on Socio-economic and Spatial Information Gaussian Processes (SSIG)

    Open Access•Ruiqiao Bai, Jacqueline C K Lam et al.•ARTICLE•Humanities and Social Sciences…•2023

    Income inequality presents a key challenge to urban sustainability across the developed economies. Traditionally, accurate high granularity income data are generally obtained from field surveys. However, due to privacy considerations, field subjects are hesitant to provide accurate personal income data. A Socio-economic & Spatial-Information-GP (SSIG) model is thereby developed to estimate district-based high granularity income for New York City …

  • AI for Social Good

    Open Access•Victor O K Li, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 2•References: 4

  • A Big Data and Artificial Intelligence Framework for Smart and Personalized Air Pollution Monitoring and Health Management in Hong Kong

    Open Access•Victor O K Li, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 3

  • In search of bluer skies

    Open Access•Jacqueline C K Lam, Victor O K Li et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 3•References: 2

  • Can smart energy information interventions help householders save electricity? A SVR machine learning approach

    Open Access•Andong Wang, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1•References: 2

  • How BLUE is the Sky? Estimating air qualities in Beijing during the Blue Sky Day period (2008–2012) by Bayesian Multi-task LSTM

    Open Access•Yang Han, Victor O K Li et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1

  • Stakeholder concerns of air pollution in Hong Kong and policy implications

    Open Access•Jacqueline C K Lam, Lawrence Y L Cheung et al.•ARTICLE•Environmental Science & Policy•2019•Cited by: 3•References: 6

  • A Big Data and Artificial Intelligence Framework for Smart and Personalized Air Pollution Monitoring and Health Management in Hong Kong

    Open Access•Victor O K Li, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 3

  • In search of bluer skies

    Open Access•Jacqueline C K Lam, Victor O K Li et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 3•References: 2

  • Stakeholder concerns of air pollution in Hong Kong and policy implications

    Open Access•Jacqueline C K Lam, Lawrence Y L Cheung et al.•ARTICLE•Environmental Science & Policy•2019•Cited by: 3•References: 6

  • AI for Social Good

    Open Access•Victor O K Li, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 2•References: 4

  • Can smart energy information interventions help householders save electricity? A SVR machine learning approach

    Open Access•Andong Wang, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1•References: 2

  • How BLUE is the Sky? Estimating air qualities in Beijing during the Blue Sky Day period (2008–2012) by Bayesian Multi-task LSTM

    Open Access•Yang Han, Victor O K Li et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1

  • Stakeholder concerns of air pollution in Hong Kong and policy implications

    Open Access•Jacqueline C K Lam, Lawrence Y L Cheung et al.•ARTICLE•Environmental Science & Policy•2019•Cited by: 3•References: 6

  • Can smart energy information interventions help householders save electricity? A SVR machine learning approach

    Open Access•Andong Wang, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1•References: 2

  • How BLUE is the Sky? Estimating air qualities in Beijing during the Blue Sky Day period (2008–2012) by Bayesian Multi-task LSTM

    Open Access•Yang Han, Victor O K Li et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1

  • AI for Social Good

    Open Access•Victor O K Li, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 2•References: 4

  • A Big Data and Artificial Intelligence Framework for Smart and Personalized Air Pollution Monitoring and Health Management in Hong Kong

    Open Access•Victor O K Li, Jacqueline C K Lam et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 3

  • In search of bluer skies

    Open Access•Jacqueline C K Lam, Victor O K Li et al.•ARTICLE•Environmental Science & Policy•2021•Cited by: 3•References: 2

  • What dictates income in New York City? SHAP analysis of income estimation based on Socio-economic and Spatial Information Gaussian Processes (SSIG)

    Open Access•Ruiqiao Bai, Jacqueline C K Lam et al.•ARTICLE•Humanities and Social Sciences…•2023

    Income inequality presents a key challenge to urban sustainability across the developed economies. Traditionally, accurate high granularity income data are generally obtained from field surveys. However, due to privacy considerations, field subjects are hesitant to provide accurate personal income data. A Socio-economic & Spatial-Information-GP (SSIG) model is thereby developed to estimate district-based high granularity income for New York City …

  • Interpretable AI-driven causal inference to uncover the time-varying effects of PM2.5 and public health interventions on Covid-19 infection rates

    Open Access•Yang Han, Jacqueline C K Lam et al.•ARTICLE•Humanities and Social Sciences…•2024

    Although COVID-19 appears to be better controlled since its initial outbreak in 2020, it continues to threaten citizens in different communities due to the unpredictability of new strains. The global viral pandemic has resulted in over 700 million infections and 7 million deaths worldwide, with 22 million cases occurring in the United Kingdom (UK). Emerging evidence has suggested that outdoor PM 2.5 pollutants can significantly contribute to COVI…

Geography (5 works) · Air Quality and Health Impacts (4 works) · Air Quality Monitoring and Forecasting (4 works) · Computer Science (4 works) · Air quality index (3 works) · Business (3 works) · Climate Change and Health Impacts (3 works) · Mathematics (3 works) · Psychology (3 works) · Artificial Intelligence (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae