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Qingliang Li

Dados Biográficos

ID7996078
NOMEQingliang Li
PRENOMESQingliang
SOBRENOMELi
ASSINATURALI Q
AFILIAÇÕESHangzhou Medical College
ORCID0000-0002-6541-9916
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2013
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Research on the equity of health manpower resource allocation in the Yangtze River Delta region

    Open Access•Qinglian Li, Qingliang Li et al.•ARTICLE•Frontiers in Public Health•2025

    Background: To analyze the equity of the current allocation of health human resources using statistical data on health resources in the Yangtze River Delta region. Methods: The Gini coefficient quantifies the level of distributional equality, the Theil index assesses the source of inequality, and the health resource agglomeration degree (HRAD) measures the accessibility of health resources, combining the three methods to evaluate the equity of th…

  • Towards interpreting machine learning models for predicting soil moisture droughts

    Open Access•Feini Huang, Yongkun Zhang et al.•ARTICLE•Environmental Research Letters•2023

    Determination of the dominant factors which affect soil moisture (SM) predictions for drought analysis is an essential step to assess the reliability of the prediction results. However, artificial intelligence (AI) based drought modelling only provides prediction results without the physical interpretation of the models. Here, we propose an explainable AI (XAI) framework to reveal the modelling of SM drought events. Random forest based site-speci…

  • Preliminary results from monitoring of stream nitrogen concentrations, denitrification, and nitrification potentials in an urbanizing watershed in Xiamen, southeast China

    Jinbo Gao, Qian Wu et al.•ARTICLE•International Journal of…•2013

    As a part of the Long-term Urban Ecosystem Observation and Research Station in Xiamen (Xiamen LUEORS) with the Environmental Internet of Things (EIoT) as its technical support, southeast China by the Institute of Urban Environment, Chinese Academy of Sciences, long-term monitoring was established in an urbanizing watershed to understand the effects of urbanization on stream water quality. Six monitoring sites were established within forested head…

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  • Preliminary results from monitoring of stream nitrogen concentrations, denitrification, and nitrification potentials in an urbanizing watershed in Xiamen, southeast China

    Jinbo Gao, Qian Wu et al.•ARTICLE•International Journal of…•2013

    As a part of the Long-term Urban Ecosystem Observation and Research Station in Xiamen (Xiamen LUEORS) with the Environmental Internet of Things (EIoT) as its technical support, southeast China by the Institute of Urban Environment, Chinese Academy of Sciences, long-term monitoring was established in an urbanizing watershed to understand the effects of urbanization on stream water quality. Six monitoring sites were established within forested head…

  • Towards interpreting machine learning models for predicting soil moisture droughts

    Open Access•Feini Huang, Yongkun Zhang et al.•ARTICLE•Environmental Research Letters•2023

    Determination of the dominant factors which affect soil moisture (SM) predictions for drought analysis is an essential step to assess the reliability of the prediction results. However, artificial intelligence (AI) based drought modelling only provides prediction results without the physical interpretation of the models. Here, we propose an explainable AI (XAI) framework to reveal the modelling of SM drought events. Random forest based site-speci…

  • Research on the equity of health manpower resource allocation in the Yangtze River Delta region

    Open Access•Qinglian Li, Qingliang Li et al.•ARTICLE•Frontiers in Public Health•2025

    Background: To analyze the equity of the current allocation of health human resources using statistical data on health resources in the Yangtze River Delta region. Methods: The Gini coefficient quantifies the level of distributional equality, the Theil index assesses the source of inequality, and the health resource agglomeration degree (HRAD) measures the accessibility of health resources, combining the three methods to evaluate the equity of th…

Environmental Science (2 obras) · Geography (2 obras) · Geology (2 obras) · Hydrology and Watershed Management Studies (2 obras) · Arid (1 obras) · Chemistry (1 obras) · China (1 obras) · Climatology (1 obras) · Computer Science (1 obras) · Delta (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae