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Mingyue Xue

Biographic Data

ID9529049
NAMEMingyue Xue
GIVEN NAMESMingyue
FAMILY NAMEXue
SIGNATUREXUE M
AFFILIATIONSShandong Normal University
ORCID0000-0001-9582-0930
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Identifying and controlling key factors in exhibition effect

    Open Access•Dongshi Sun, Mingyue Xue et al.•ARTICLE•Frontiers in Communication•2025

    The rapid expansion of the global exhibition economy has prompted an increasing number of enterprises to leverage exhibitions for gathering industry intelligence, expanding sales channels, and establishing brand presence. Achieving effective outcomes from these exhibitions necessitates carefully coordinating and planning numerous factors influencing exhibition success. To address persistent challenges in evaluating and enhancing exhibition outcom…

  • Evaluating the application of ChatGPT in China’s residency training education

    Luxiang Shang, Rui Li et al.•ARTICLE•Medical Teacher•2025

    OBJECTIVE: The purpose of this study was to assess the utility of information generated by ChatGPT for residency education in China. METHODS: We designed a three-step survey to evaluate the performance of ChatGPT in China's residency training education including residency final examination questions, patient cases, and resident satisfaction scores. First, 204 questions from the residency final exam were input into ChatGPT's interface to obtain th…

  • A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population

    Open Access•Weidong Ji, Mingyue Xue et al.•ARTICLE•Frontiers in Public Health•2022

    Non-alcoholic fatty liver disease (NAFLD) is a common serious health problem worldwide, which lacks efficient medical treatment. We aimed to develop and validate the machine learning (ML) models which could be used to the accurate screening of large number of people. This paper included 304,145 adults who have joined in the national physical examination and used their questionnaire and physical measurement parameters as model's candidate covariat…

  • Impact of spatial structure of urban agglomeration on carbon emissions

    Open Access•Kai Liu, Mingyue Xue et al.•ARTICLE•Technological Forecasting and…•2020

No prominent works on this page.

  • Impact of spatial structure of urban agglomeration on carbon emissions

    Open Access•Kai Liu, Mingyue Xue et al.•ARTICLE•Technological Forecasting and…•2020

  • A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population

    Open Access•Weidong Ji, Mingyue Xue et al.•ARTICLE•Frontiers in Public Health•2022

    Non-alcoholic fatty liver disease (NAFLD) is a common serious health problem worldwide, which lacks efficient medical treatment. We aimed to develop and validate the machine learning (ML) models which could be used to the accurate screening of large number of people. This paper included 304,145 adults who have joined in the national physical examination and used their questionnaire and physical measurement parameters as model's candidate covariat…

  • Identifying and controlling key factors in exhibition effect

    Open Access•Dongshi Sun, Mingyue Xue et al.•ARTICLE•Frontiers in Communication•2025

    The rapid expansion of the global exhibition economy has prompted an increasing number of enterprises to leverage exhibitions for gathering industry intelligence, expanding sales channels, and establishing brand presence. Achieving effective outcomes from these exhibitions necessitates carefully coordinating and planning numerous factors influencing exhibition success. To address persistent challenges in evaluating and enhancing exhibition outcom…

  • Evaluating the application of ChatGPT in China’s residency training education

    Luxiang Shang, Rui Li et al.•ARTICLE•Medical Teacher•2025

    OBJECTIVE: The purpose of this study was to assess the utility of information generated by ChatGPT for residency education in China. METHODS: We designed a three-step survey to evaluate the performance of ChatGPT in China's residency training education including residency final examination questions, patient cases, and resident satisfaction scores. First, 204 questions from the residency final exam were input into ChatGPT's interface to obtain th…

China (2 works) · Computer Science (2 works) · Medicine (2 works) · Air Quality and Health Impacts (1 works) · Alcohol Consumption and Health Effects (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Body mass index (1 works) · Carbon fibers (1 works) · Conferences and Exhibitions Management (1 works)

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