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Chun Xu

Biographic Data

ID6464485
NAMEChun Xu
GIVEN NAMESChun
FAMILY NAMEXu
SIGNATUREXU C
AFFILIATIONSCornell University
ORCID0000-0001-7893-6341
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS3
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Real-time AI feedback for novice intraoral imaging - a pilot three-arm randomized study

    Open Access•Yizhou Wang, Yi-Zhou Wang et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‐time AI feedback could enhance photographic quality, procedural efficiency, learner self‐efficacy, and patient comfort compared with conventional approaches. METHODS: Fifty-four first‐year dental students were randomly assigned to one of three g…

  • Objective physical activity characteristics and long-term functional disability trajectories in community-dwelling older adults

    Open Access•Jianhui Pan, Zanzhi Wang et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Functional decline is a major challenge in aging, particularly for those with a history of cerebrovascular events. Yet, prior research relies heavily on self-reported measures. The impact of objective physical activity patterns, particularly sedentary accumulation, on long-term functional prognosis remains unclear. Methods: = 1.9 million). Group-Based Trajectory Modeling (GBTM) was applied to 7 years of follow-up data to identify traj…

  • Global, regional, and national time trends in falls and their predictions

    Open Access•Huan Jiang, Ning Sun et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Falls are a global public health issue with a heavy disease and socioeconomic burden, with an increasing number of risky people. The aim of this study is to explore the global disease burden of falls and to provide a scientific basis for the prevention and management of falls. Methods: This study used data from the Global Burden of Disease Study 2021 (GBD 2021) to analyse global, regional, and national temporal trends in falls. An age…

  • Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022

    Open Access•Wei Fang, Ying Liu et al.•ARTICLE•International Journal of…•2024

    Feature selection is essentially the process of picking informative and relevant features from a larger collection of features. Few studies have focused on predictors for current e-cigarette use among U.S. adults using feature selection and machine learning (ML) approaches. This study aimed to perform feature selection and develop ML approaches in prediction of current e-cigarette use using the 2022 Health Information National Trends Survey (HINT…

  • Association of lifestyle behaviors with health-related quality of life among patients with hematologic diseases

    Open Access•Jingyu Zhao, Zhexiang Kuang et al.•ARTICLE•Quality of Life Research•2023

  • Invisible women in comprehensive plans

    Xue Zhang, Mildred E Warner et al.•ARTICLE•Journal of Urban Affairs•2023•Cited by: 3•References: 6

    This paper explores attention to the needs of women in comprehensive plans. We interviewed practicing planners and analyzed a 2019 U.S. national survey to identify planning elements that address the needs of women, including zoning codes, built environment, and services. We collected 81 comprehensive plans from communities indicating their comprehensive plans addressed the needs of women. We used Natural Language Processing to explore how women’s…

  • Invisible women in comprehensive plans

    Xue Zhang, Mildred E Warner et al.•ARTICLE•Journal of Urban Affairs•2023•Cited by: 3•References: 6

    This paper explores attention to the needs of women in comprehensive plans. We interviewed practicing planners and analyzed a 2019 U.S. national survey to identify planning elements that address the needs of women, including zoning codes, built environment, and services. We collected 81 comprehensive plans from communities indicating their comprehensive plans addressed the needs of women. We used Natural Language Processing to explore how women’s…

  • Association of lifestyle behaviors with health-related quality of life among patients with hematologic diseases

    Open Access•Jingyu Zhao, Zhexiang Kuang et al.•ARTICLE•Quality of Life Research•2023

  • Invisible women in comprehensive plans

    Xue Zhang, Mildred E Warner et al.•ARTICLE•Journal of Urban Affairs•2023•Cited by: 3•References: 6

    This paper explores attention to the needs of women in comprehensive plans. We interviewed practicing planners and analyzed a 2019 U.S. national survey to identify planning elements that address the needs of women, including zoning codes, built environment, and services. We collected 81 comprehensive plans from communities indicating their comprehensive plans addressed the needs of women. We used Natural Language Processing to explore how women’s…

  • Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022

    Open Access•Wei Fang, Ying Liu et al.•ARTICLE•International Journal of…•2024

    Feature selection is essentially the process of picking informative and relevant features from a larger collection of features. Few studies have focused on predictors for current e-cigarette use among U.S. adults using feature selection and machine learning (ML) approaches. This study aimed to perform feature selection and develop ML approaches in prediction of current e-cigarette use using the 2022 Health Information National Trends Survey (HINT…

  • Global, regional, and national time trends in falls and their predictions

    Open Access•Huan Jiang, Ning Sun et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Falls are a global public health issue with a heavy disease and socioeconomic burden, with an increasing number of risky people. The aim of this study is to explore the global disease burden of falls and to provide a scientific basis for the prevention and management of falls. Methods: This study used data from the Global Burden of Disease Study 2021 (GBD 2021) to analyse global, regional, and national temporal trends in falls. An age…

  • Real-time AI feedback for novice intraoral imaging - a pilot three-arm randomized study

    Open Access•Yizhou Wang, Yi-Zhou Wang et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‐time AI feedback could enhance photographic quality, procedural efficiency, learner self‐efficacy, and patient comfort compared with conventional approaches. METHODS: Fifty-four first‐year dental students were randomly assigned to one of three g…

  • Objective physical activity characteristics and long-term functional disability trajectories in community-dwelling older adults

    Open Access•Jianhui Pan, Zanzhi Wang et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Functional decline is a major challenge in aging, particularly for those with a history of cerebrovascular events. Yet, prior research relies heavily on self-reported measures. The impact of objective physical activity patterns, particularly sedentary accumulation, on long-term functional prognosis remains unclear. Methods: = 1.9 million). Group-Based Trajectory Modeling (GBTM) was applied to 7 years of follow-up data to identify traj…

Logistic regression (3 works) · Balance, Gait, and Falls Prevention (2 works) · Environmental health (2 works) · Gerontology (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Psychology (2 works) · Activities of daily living (1 work) · Artificial Intelligence (1 work) · Association (psychology (1 work)

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