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Lingli Wang

Biographic Data

ID6587513
NAMELingli Wang
GIVEN NAMESLingli
FAMILY NAMEWang
SIGNATUREWANG L
AFFILIATIONSDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine Shandong University Jinan China
ORCID0000-0002-0579-3527
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS7
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Green investment and vertical alliances in the maritime supply chain

    Open Access•Chuanxu Wang, Lingli Wang•ARTICLE•Environment Development and…•2023

  • Grandparents with different health statuses as primary caregivers

    Open Access•Chunyu Lu, Jingru Zong et al.•ARTICLE•Child & Family Social Work•2023•References: 5

    The prevalence and intensity of grandparenting have continued to increase in the era of rapid aging. However, little is known about grandparents with different health statuses as primary caregivers and their implications for children's health. A nationally representative cohort of over 8990 Chinese children interviewed from 2010 to 2018 was used. Random effects logit models were constructed to assess the association of the primary caregiver type …

  • Data-driven assessment framework of health cities for elderly individuals in China

    Open Access•Qing Wang, Kuo‐Jui Wu et al.•ARTICLE•Sustainable Cities and Society•2022

  • Electricity Generation Forecast of Shanghai Municipal Solid Waste Based on Bidirectional Long Short-Term Memory Model

    Open Access•Bingchun Liu, Ningbo Zhang et al.•ARTICLE•International Journal of…•2022

    The accurate prediction of Municipal Solid Waste (MSW) electricity generation is very important for the fine management of a city. This paper selects Shanghai as the research object, through the construction of a Bidirectional Long Short-Term Memory (BiLSTM) model, and chooses six influencing factors of MSW generation as the input indicators, to realize the effective prediction of MSW generation. Then, this study obtains the MSW electricity gener…

  • Towards a win‐win situation for innovation and sustainable development

    Open Access•Yanwei Lyu, Jinning Zhang et al.•ARTICLE•Sustainable Development•2022•Cited by: 7•References: 7

    Innovation and sustainable development are important concerns for countries around the world, and strengthening environmental regulation (ER) may have a critical implication for the promotion of green technology innovation. On the basis of elaborating the mechanism of ER on technological innovation, the Super‐SBM‐Windows‐DEA model is employed to measure the green innovation efficiency (GIE) using provincial‐level panel data from 2004–2017 in Chin…

  • Towards a win‐win situation for innovation and sustainable development

    Open Access•Yanwei Lyu, Jinning Zhang et al.•ARTICLE•Sustainable Development•2022•Cited by: 7•References: 7

    Innovation and sustainable development are important concerns for countries around the world, and strengthening environmental regulation (ER) may have a critical implication for the promotion of green technology innovation. On the basis of elaborating the mechanism of ER on technological innovation, the Super‐SBM‐Windows‐DEA model is employed to measure the green innovation efficiency (GIE) using provincial‐level panel data from 2004–2017 in Chin…

  • Data-driven assessment framework of health cities for elderly individuals in China

    Open Access•Qing Wang, Kuo‐Jui Wu et al.•ARTICLE•Sustainable Cities and Society•2022

  • Electricity Generation Forecast of Shanghai Municipal Solid Waste Based on Bidirectional Long Short-Term Memory Model

    Open Access•Bingchun Liu, Ningbo Zhang et al.•ARTICLE•International Journal of…•2022

    The accurate prediction of Municipal Solid Waste (MSW) electricity generation is very important for the fine management of a city. This paper selects Shanghai as the research object, through the construction of a Bidirectional Long Short-Term Memory (BiLSTM) model, and chooses six influencing factors of MSW generation as the input indicators, to realize the effective prediction of MSW generation. Then, this study obtains the MSW electricity gener…

  • Towards a win‐win situation for innovation and sustainable development

    Open Access•Yanwei Lyu, Jinning Zhang et al.•ARTICLE•Sustainable Development•2022•Cited by: 7•References: 7

    Innovation and sustainable development are important concerns for countries around the world, and strengthening environmental regulation (ER) may have a critical implication for the promotion of green technology innovation. On the basis of elaborating the mechanism of ER on technological innovation, the Super‐SBM‐Windows‐DEA model is employed to measure the green innovation efficiency (GIE) using provincial‐level panel data from 2004–2017 in Chin…

  • Green investment and vertical alliances in the maritime supply chain

    Open Access•Chuanxu Wang, Lingli Wang•ARTICLE•Environment Development and…•2023

  • Grandparents with different health statuses as primary caregivers

    Open Access•Chunyu Lu, Jingru Zong et al.•ARTICLE•Child & Family Social Work•2023•References: 5

    The prevalence and intensity of grandparenting have continued to increase in the era of rapid aging. However, little is known about grandparents with different health statuses as primary caregivers and their implications for children's health. A nationally representative cohort of over 8990 Chinese children interviewed from 2010 to 2018 was used. Random effects logit models were constructed to assess the association of the primary caregiver type …

Economics (4 works) · China (2 works) · Energy, Environment, Economic Growth (2 works) · Engineering (2 works) · Health disparities and outcomes (2 works) · Industrial organization (2 works) · Medicine (2 works) · Microeconomics (2 works) · Political science (2 works) · Sustainability (2 works)

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