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Yue Xiang

Biographic Data

ID6580810
NAMEYue Xiang
GIVEN NAMESYue
FAMILY NAMEXiang
SIGNATUREXIANG Y
AFFILIATIONSSichuan University
ORCID0000-0001-8456-1195
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX1
  • An artificial intelligence application framework for nursing education

    Open Access•Yue Xiang, Haoning Shi et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Artificial intelligence (AI) is reshaping education, but existing AI application frameworks cannot be effectively applied to nursing education, which is defined by its focus on practical skills and clinical judgment. AIMS: This study aims to address this gap by synthesizing literature on current educational AI application frameworks to propose a dedicated AI application framework for nursing education, grounded in the core nursing com…

  • Identifying Measurement Dimensions of Users’ Benefit-Risk Perceptions of AI in Healthcare

    Open Access•Haoning Shi, Yue Xiang et al.•ARTICLE•INQUIRY The Journal of Health…•2026

    The rapid integration of artificial intelligence (AI) into healthcare presents a double-edged nature, making systematic assessment of users' benefit-risk perceptions critical. However, a unified, multidimensional framework for such measurement is currently lacking. This review aims to systematically identify and synthesize existing measurement instruments for users' benefit-risk perceptions of AI in healthcare, and to propose an integrated framew…

  • BOPPPS model implementation and students' performance

    Open Access•Jiaying Liu, Siti Zobidah Omar et al.•ARTICLE•Frontiers in Education•2025

    Applications of instructional models are among the key factors in enhancing student performance. While the BOPPPS model is widely implemented, a thorough and systematic evaluation of its impact on student performance remains absent. This systematic review synthesized findings from 19 studies to explore the relationship between the BOPPPS model and student performance. Using the PRISMA, Studies were analyzed for research characteristics, focusing …

  • Geospatial resilience of shipping alliances

    Open Access•Dong Yang, Yue Xiang et al.•ARTICLE•Journal of Transport Geography•2025•Cited by: 1

  • Human-safe based electric vehicle evacuation in transportation-power networks during emergencies

    Open Access•Yuqian Cao, Xiao Xu et al.•ARTICLE•International Journal of Disaster…•2024

  • Geospatial resilience of shipping alliances

    Open Access•Dong Yang, Yue Xiang et al.•ARTICLE•Journal of Transport Geography•2025•Cited by: 1

  • Human-safe based electric vehicle evacuation in transportation-power networks during emergencies

    Open Access•Yuqian Cao, Xiao Xu et al.•ARTICLE•International Journal of Disaster…•2024

  • BOPPPS model implementation and students' performance

    Open Access•Jiaying Liu, Siti Zobidah Omar et al.•ARTICLE•Frontiers in Education•2025

    Applications of instructional models are among the key factors in enhancing student performance. While the BOPPPS model is widely implemented, a thorough and systematic evaluation of its impact on student performance remains absent. This systematic review synthesized findings from 19 studies to explore the relationship between the BOPPPS model and student performance. Using the PRISMA, Studies were analyzed for research characteristics, focusing …

  • Geospatial resilience of shipping alliances

    Open Access•Dong Yang, Yue Xiang et al.•ARTICLE•Journal of Transport Geography•2025•Cited by: 1

  • An artificial intelligence application framework for nursing education

    Open Access•Yue Xiang, Haoning Shi et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Artificial intelligence (AI) is reshaping education, but existing AI application frameworks cannot be effectively applied to nursing education, which is defined by its focus on practical skills and clinical judgment. AIMS: This study aims to address this gap by synthesizing literature on current educational AI application frameworks to propose a dedicated AI application framework for nursing education, grounded in the core nursing com…

  • Identifying Measurement Dimensions of Users’ Benefit-Risk Perceptions of AI in Healthcare

    Open Access•Haoning Shi, Yue Xiang et al.•ARTICLE•INQUIRY The Journal of Health…•2026

    The rapid integration of artificial intelligence (AI) into healthcare presents a double-edged nature, making systematic assessment of users' benefit-risk perceptions critical. However, a unified, multidimensional framework for such measurement is currently lacking. This review aims to systematically identify and synthesize existing measurement instruments for users' benefit-risk perceptions of AI in healthcare, and to propose an integrated framew…

Artificial Intelligence in Healthcare and Education (2 works) · Computer Science (2 works) · Engineering (2 works) · Infrastructure Resilience and Vulnerability Analysis (2 works) · Systematic review (2 works) · Transport engineering (2 works) · Academic achievement (1 work) · Aeronautics (1 work) · AI in Service Interactions (1 work) · Attendance (1 work)

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