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Wenxuan Hu

Biographic Data

ID7805129
NAMEWenxuan Hu
GIVEN NAMESWenxuan
FAMILY NAMEHu
SIGNATUREHU W
AFFILIATIONSJinzhou Kangning Hospital
ORCID0000-0003-1222-459X
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A friend or a foe? The effect of generative artificial intelligence on creator contributions on original work sharing platforms

    Open Access•Shan Liu, Liu Shan et al.•ARTICLE•Decision Support Systems•2025

  • Depression and anxiety symptoms and associated factors among community residents in Shenzhen, China

    Open Access•Hongning Hua, Haoyu Hua et al.•ARTICLE•BMC Public Health•2025

    The results of the study demonstrate the overall profile of depression and anxiety among community residents in Shenzhen and discuss the factors associated with their depression and anxiety symptoms. This may be instructive for providing accessible and targeted support and interventions for depression and anxiety symptoms among community residents in Shenzhen to improve their mental health and well-being in life, as well as for other cities under…

  • Cropland and rooftops

    Open Access•Madhura Yeligeti, Wenxuan Hu et al.•ARTICLE•Environmental Research Letters•2023

    The utilization of cropland and rooftops for solar photovoltaics (PVs) installation holds significant potential for enhancing global renewable energy capacity with the advantage of dual land-use. This study focuses on estimating the global area suitable for agrivoltaics (PV over crops) and rooftop PVs by employing open-access data, existing literature and simple numerical methods in a high spatial resolution of 10 km × 10 km. For agrivoltaics, th…

  • Downscaling ERA5 wind speed data

    Open Access•Wenxuan Hu, Yvonne Scholz et al.•ARTICLE•Environmental Research Letters•2023

    Energy system modeling and analysis can provide comprehensive guidelines to integrate renewable energy sources into the energy system. Modeling renewable energy potential, such as wind energy, typically involves the use of wind speed time series in the modeling process. One of the most widely utilized datasets in this regard is ERA5, which provides global meteorological information. Despite its broad coverage, the coarse spatial resolution of ERA…

No prominent works on this page.

  • Cropland and rooftops

    Open Access•Madhura Yeligeti, Wenxuan Hu et al.•ARTICLE•Environmental Research Letters•2023

    The utilization of cropland and rooftops for solar photovoltaics (PVs) installation holds significant potential for enhancing global renewable energy capacity with the advantage of dual land-use. This study focuses on estimating the global area suitable for agrivoltaics (PV over crops) and rooftop PVs by employing open-access data, existing literature and simple numerical methods in a high spatial resolution of 10 km × 10 km. For agrivoltaics, th…

  • Downscaling ERA5 wind speed data

    Open Access•Wenxuan Hu, Yvonne Scholz et al.•ARTICLE•Environmental Research Letters•2023

    Energy system modeling and analysis can provide comprehensive guidelines to integrate renewable energy sources into the energy system. Modeling renewable energy potential, such as wind energy, typically involves the use of wind speed time series in the modeling process. One of the most widely utilized datasets in this regard is ERA5, which provides global meteorological information. Despite its broad coverage, the coarse spatial resolution of ERA…

  • A friend or a foe? The effect of generative artificial intelligence on creator contributions on original work sharing platforms

    Open Access•Shan Liu, Liu Shan et al.•ARTICLE•Decision Support Systems•2025

  • Depression and anxiety symptoms and associated factors among community residents in Shenzhen, China

    Open Access•Hongning Hua, Haoyu Hua et al.•ARTICLE•BMC Public Health•2025

    The results of the study demonstrate the overall profile of depression and anxiety among community residents in Shenzhen and discuss the factors associated with their depression and anxiety symptoms. This may be instructive for providing accessible and targeted support and interventions for depression and anxiety symptoms among community residents in Shenzhen to improve their mental health and well-being in life, as well as for other cities under…

Computer Science (3 works) · Engineering (2 works) · Environmental Science (2 works) · Meteorology (2 works) · Renewable energy (2 works) · Anxiety (1 work) · Artificial Intelligence (1 work) · Biostatistics (1 work) · Business (1 work) · Cartography (1 work)

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