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Lixin Zhou

Biographic Data

ID7568868
NAMELixin Zhou
GIVEN NAMESLixin
FAMILY NAMEZhou
SIGNATUREZHOU L
AFFILIATIONSUniversity of Shanghai for Science and Technology
ORCID0000-0002-9362-8117
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Standardized patient training for neurological examination

    Open Access•Dan Xu, Lixin Zhou et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Standardized patients (SPs) are widely used in clinical skills education, primarily to support communication training and clinical performance assessment. However, structured training that enables SPs to recognize technical errors and provide precise, technique-oriented feedback during neurological examinations remains limited. METHODS: Twelve experienced SPs completed a 16-hour structured training program, starting with knowledge com…

  • Near-peer learning in neurology residency

    Open Access•Dan Xu, Yuehui Hong et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Near-peer learning (NPL) may address challenges in neurology residency training, but its comparative efficacy across subspecialties with different cognitive demands remains unclear. METHODS: The authors conducted a six-year longitudinal study evaluating a structured NPL curriculum within a neurology residency program. The study included residents who participated in three modules: cerebrovascular disease (CVD), electromyography (EMG),…

  • Anti-pandemic resilience assessment for countries along the Belt and Road route

    Open Access•Laijun Zhao, Mengmeng Min et al.•ARTICLE•Frontiers in Public Health•2023

    Background: The COVID-19 pandemic is sweeping the world, and countries along the Belt and Road (B&R) route have also been hit hard. However, the impact varied greatly from country to country, some severely and others mildly. What factors have led to such a wide variation? Method: In this paper, we considered institutional, infrastructural, economic, social, and technological resilience as components of overall anti-pandemic resilience, and constr…

  • Evaluation of health system resilience in 60 countries based on their responses to Covid-19

    Open Access•Laijun Zhao, Yajun Jin et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction: In 2020, the COVID-19 epidemic swept the world, and many national health systems faced serious challenges. To improve future public health responses, it's necessary to evaluate the performance of each country's health system. Methods: We developed a resilience evaluation system for national health systems based on their responses to COVID-19 using four resilience dimensions: government governance and prevention, health financing, he…

  • Personality traits and user innovation engagement in open innovation platform

    Lixin Zhou, Li Tang•ARTICLE•Behaviour and Information…•2023

    Users are playing an increasingly vital role in innovation. Previous studies have shown that personality traits are crucial factors in innovation engagement. However, there is no consensus regarding the impact of some personality traits on innovation engagement. Therefore, this study investigated the impact of Big Five personality traits on user innovation engagement in an open innovation platform, including idea and comment contributions, and fu…

  • Diverse spillover effects of Covid-19 control measures on air quality improvement

    Open Access•Laijun Zhao, Yu Wang et al.•ARTICLE•Environment Development and…•2023

  • Converting consumer-generated content into an innovation resource

    Open Access•Jie Lin, Chao Wang et al.•ARTICLE•Technological Forecasting and…•2022

  • How to achieve synergy between carbon dioxide mitigation and air pollution control? Evidence from China

    Open Access•Hongru Yi, Laijun Zhao et al.•ARTICLE•Sustainable Cities and Society•2022

  • CostNet

    Open Access•Fengzhen Sun, Shaojie Li et al.•ARTICLE•ISPRS International Journal of…•2020

    Predicting the futures from previous spatiotemporal data remains a challenging topic. There have been many previous works on predictive learning. However, mainstream models suffer from huge memory usage or the gradient vanishing problem. Enlightened by the idea from the resnet, we propose CostNet, a novel recursive neural network (RNN)-based network, which has a horizontal and vertical cross-connection. The core of this network is a concise unit,…

No prominent works on this page.

  • CostNet

    Open Access•Fengzhen Sun, Shaojie Li et al.•ARTICLE•ISPRS International Journal of…•2020

    Predicting the futures from previous spatiotemporal data remains a challenging topic. There have been many previous works on predictive learning. However, mainstream models suffer from huge memory usage or the gradient vanishing problem. Enlightened by the idea from the resnet, we propose CostNet, a novel recursive neural network (RNN)-based network, which has a horizontal and vertical cross-connection. The core of this network is a concise unit,…

  • Converting consumer-generated content into an innovation resource

    Open Access•Jie Lin, Chao Wang et al.•ARTICLE•Technological Forecasting and…•2022

  • How to achieve synergy between carbon dioxide mitigation and air pollution control? Evidence from China

    Open Access•Hongru Yi, Laijun Zhao et al.•ARTICLE•Sustainable Cities and Society•2022

  • Anti-pandemic resilience assessment for countries along the Belt and Road route

    Open Access•Laijun Zhao, Mengmeng Min et al.•ARTICLE•Frontiers in Public Health•2023

    Background: The COVID-19 pandemic is sweeping the world, and countries along the Belt and Road (B&R) route have also been hit hard. However, the impact varied greatly from country to country, some severely and others mildly. What factors have led to such a wide variation? Method: In this paper, we considered institutional, infrastructural, economic, social, and technological resilience as components of overall anti-pandemic resilience, and constr…

  • Evaluation of health system resilience in 60 countries based on their responses to Covid-19

    Open Access•Laijun Zhao, Yajun Jin et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction: In 2020, the COVID-19 epidemic swept the world, and many national health systems faced serious challenges. To improve future public health responses, it's necessary to evaluate the performance of each country's health system. Methods: We developed a resilience evaluation system for national health systems based on their responses to COVID-19 using four resilience dimensions: government governance and prevention, health financing, he…

  • Personality traits and user innovation engagement in open innovation platform

    Lixin Zhou, Li Tang•ARTICLE•Behaviour and Information…•2023

    Users are playing an increasingly vital role in innovation. Previous studies have shown that personality traits are crucial factors in innovation engagement. However, there is no consensus regarding the impact of some personality traits on innovation engagement. Therefore, this study investigated the impact of Big Five personality traits on user innovation engagement in an open innovation platform, including idea and comment contributions, and fu…

  • Diverse spillover effects of Covid-19 control measures on air quality improvement

    Open Access•Laijun Zhao, Yu Wang et al.•ARTICLE•Environment Development and…•2023

  • Standardized patient training for neurological examination

    Open Access•Dan Xu, Lixin Zhou et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Standardized patients (SPs) are widely used in clinical skills education, primarily to support communication training and clinical performance assessment. However, structured training that enables SPs to recognize technical errors and provide precise, technique-oriented feedback during neurological examinations remains limited. METHODS: Twelve experienced SPs completed a 16-hour structured training program, starting with knowledge com…

  • Near-peer learning in neurology residency

    Open Access•Dan Xu, Yuehui Hong et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Near-peer learning (NPL) may address challenges in neurology residency training, but its comparative efficacy across subspecialties with different cognitive demands remains unclear. METHODS: The authors conducted a six-year longitudinal study evaluating a structured NPL curriculum within a neurology residency program. The study included residents who participated in three modules: cerebrovascular disease (CVD), electromyography (EMG),…

Computer Science (5 works) · Business (4 works) · Economics (4 works) · Geography (4 works) · Economic growth (3 works) · Air pollution (2 works) · Air Quality and Health Impacts (2 works) · Artificial Intelligence (2 works) · China (2 works) · Curriculum (2 works)

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