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Honglin Li

Biographic Data

ID6616217
NAMEHonglin Li
GIVEN NAMESHonglin
FAMILY NAMELi
SIGNATURELI H
AFFILIATIONSChengdu Institute of Biology
ORCID0000-0002-8632-2056
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1994
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Spatial heterogeneities of heat waves’ impact on emotions and their causal factors based on multi-source geographic big data-a case study in Beijing city

    Open Access•Yali Wei, Juan Wang et al.•ARTICLE•Computational Urban Science•2026

    Frequent and severe heat waves have posed significant threats to residents' emotional well-being. Traditional questionnaire survey data struggled to obtain timely, large-scale emotional responses to heat waves. This study employed multi-source geographic big data to explore spatial heterogeneities in the impacts of heat waves on emotions and to investigate their potential causal factors. Firstly, social media Weibo data were employed to extract f…

  • Atmospheric forcing uncertainty contributes to divergent estimates of China’s terrestrial carbon dynamics

    Open Access•Yue Cheng, Peng Luo et al.•ARTICLE•Environmental Research Letters•2026

    Accurate quantification of terrestrial carbon dynamics is essential for assessing ecosystem–climate feedbacks and informing climate mitigation in the Anthropocene. China, as both the world’s largest emitter and a region of rapid ecological change, plays a key role in the global carbon cycle. Yet uncertainties in atmospheric forcing datasets remain a significant source of uncertainty in land surface model simulations and are rarely assessed system…

  • Fu-Zheng-Li-Fei Recipe (FZLFR) in the treatment of cancer cachexia

    Open Access•Aining Yin, Yu Fu et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • A Parenting Program to Prevent Child Maltreatment in China

    Open Access•Huiping Zhang, Haiying Yang et al.•ARTICLE•Research on Social Work Practice•2023•References: 4

    Purpose: This study aimed to evaluate the outcomes of adapted Parenting for Lifelong Health for Young Children to prevent child maltreatment in the Mainland China. Methods: A pre–post-follow-up study was designed and 54 Chinese parents received the eight-session online parenting intervention between February 4 and March 25, 2023. Results: Forty-one participants (75.9%) completed post-assessment and 36 (66.7%) completed 3-month follow-up assessmen…

  • Monitoring Vegetation Greenness in Response to Climate Variation along the Elevation Gradient in the Three-River Source Region of China

    Open Access•Zhaoqi Wang, Xiang Liu et al.•ARTICLE•ISPRS International Journal of…•2021

    The Three-River Source Region (TRSR) is vital to the ecological security of China. However, the impact of global warming on the dynamics of vegetation along the elevation gradient in the TRSR remains unclear. Accordingly, we used multi-source remote sensing vegetation indices (VIs) (GIMMS (Global Inventory Modeling and Mapping Studies) LAI (Leaf Area Index), GIMMS NDVI (Normalized Difference Vegetation Index), GLOBMAP (Global Mapping) LAI, MODIS …

  • Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model

    Open Access•Junming Li, Meijun Jin et al.•ARTICLE•International Journal of…•2019

    Currently, more and more remotely sensed data are being accumulated, and the spatial analysis methods for remotely sensed data, especially big data, are desiderating innovation. A deep convolutional network (CNN) model is proposed in this paper for exploiting the spatial influence feature in remotely sensed data. The method was applied in investigating the magnitude of the spatial influence of four factors-population, gross domestic product (GDP)…

  • PharmMapper 2017 update

    Open Access•Xia Wang, Yihang Shen et al.•ARTICLE•Nucleic Acids Research•2017

    The PharmMapper online tool is a web server for potential drug target identification by reversed pharmacophore matching the query compound against an in-house pharmacophore model database. The original version of PharmMapper includes more than 7000 target pharmacophores derived from complex crystal structures with corresponding protein target annotations. In this article, we present a new version of the PharmMapper web server, of which the backen…

  • Right” and “left” in communist China a self‐account by a theoretician in the Chinese Communist Party∗

    Honglin Li, Li Honglin•ARTICLE•Journal of Contemporary China•1994

No prominent works on this page.

  • Right” and “left” in communist China a self‐account by a theoretician in the Chinese Communist Party∗

    Honglin Li, Li Honglin•ARTICLE•Journal of Contemporary China•1994

  • PharmMapper 2017 update

    Open Access•Xia Wang, Yihang Shen et al.•ARTICLE•Nucleic Acids Research•2017

    The PharmMapper online tool is a web server for potential drug target identification by reversed pharmacophore matching the query compound against an in-house pharmacophore model database. The original version of PharmMapper includes more than 7000 target pharmacophores derived from complex crystal structures with corresponding protein target annotations. In this article, we present a new version of the PharmMapper web server, of which the backen…

  • Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model

    Open Access•Junming Li, Meijun Jin et al.•ARTICLE•International Journal of…•2019

    Currently, more and more remotely sensed data are being accumulated, and the spatial analysis methods for remotely sensed data, especially big data, are desiderating innovation. A deep convolutional network (CNN) model is proposed in this paper for exploiting the spatial influence feature in remotely sensed data. The method was applied in investigating the magnitude of the spatial influence of four factors-population, gross domestic product (GDP)…

  • Monitoring Vegetation Greenness in Response to Climate Variation along the Elevation Gradient in the Three-River Source Region of China

    Open Access•Zhaoqi Wang, Xiang Liu et al.•ARTICLE•ISPRS International Journal of…•2021

    The Three-River Source Region (TRSR) is vital to the ecological security of China. However, the impact of global warming on the dynamics of vegetation along the elevation gradient in the TRSR remains unclear. Accordingly, we used multi-source remote sensing vegetation indices (VIs) (GIMMS (Global Inventory Modeling and Mapping Studies) LAI (Leaf Area Index), GIMMS NDVI (Normalized Difference Vegetation Index), GLOBMAP (Global Mapping) LAI, MODIS …

  • A Parenting Program to Prevent Child Maltreatment in China

    Open Access•Huiping Zhang, Haiying Yang et al.•ARTICLE•Research on Social Work Practice•2023•References: 4

    Purpose: This study aimed to evaluate the outcomes of adapted Parenting for Lifelong Health for Young Children to prevent child maltreatment in the Mainland China. Methods: A pre–post-follow-up study was designed and 54 Chinese parents received the eight-session online parenting intervention between February 4 and March 25, 2023. Results: Forty-one participants (75.9%) completed post-assessment and 36 (66.7%) completed 3-month follow-up assessmen…

  • Fu-Zheng-Li-Fei Recipe (FZLFR) in the treatment of cancer cachexia

    Open Access•Aining Yin, Yu Fu et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • Spatial heterogeneities of heat waves’ impact on emotions and their causal factors based on multi-source geographic big data-a case study in Beijing city

    Open Access•Yali Wei, Juan Wang et al.•ARTICLE•Computational Urban Science•2026

    Frequent and severe heat waves have posed significant threats to residents' emotional well-being. Traditional questionnaire survey data struggled to obtain timely, large-scale emotional responses to heat waves. This study employed multi-source geographic big data to explore spatial heterogeneities in the impacts of heat waves on emotions and to investigate their potential causal factors. Firstly, social media Weibo data were employed to extract f…

  • Atmospheric forcing uncertainty contributes to divergent estimates of China’s terrestrial carbon dynamics

    Open Access•Yue Cheng, Peng Luo et al.•ARTICLE•Environmental Research Letters•2026

    Accurate quantification of terrestrial carbon dynamics is essential for assessing ecosystem–climate feedbacks and informing climate mitigation in the Anthropocene. China, as both the world’s largest emitter and a region of rapid ecological change, plays a key role in the global carbon cycle. Yet uncertainties in atmospheric forcing datasets remain a significant source of uncertainty in land surface model simulations and are rarely assessed system…

China (2 works) · Climate change (2 works) · Computer Science (2 works) · Environmental Science (2 works) · Geography (2 works) · Medicine (2 works) · Remote sensing (2 works) · Remote Sensing in Agriculture (2 works) · Advanced Technologies in Various Fields (1 work) · Air Quality and Health Impacts (1 work)

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