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Yanghe Liu

Biographic Data

ID6505642
NAMEYanghe Liu
GIVEN NAMESYanghe
FAMILY NAMELiu
SIGNATURELIU Y
AFFILIATIONSUniversity of Florida
ORCID0009-0005-5085-1107
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS10
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Characterizing performance resilience of transportation networks against hurricane events

    Open Access•Kai-Fa Lu, Kan Lu et al.•ARTICLE•Applied Geography•2026

  • Symbiotic Planning Theory

    Zhong‐ren Peng, Kai-Fa Lu et al.•ARTICLE•Journal of the American Planning…•2026

  • Unraveling urban bike-sharing dynamics

    Open Access•Kai-Fa Lu, Yanghe Liu et al.•ARTICLE•Cities•2025•Cited by: 2

  • A Bibliometric and Content Analysis of Strategy-Based Instruction in Second or Foreign Language Teaching From 2000 to 2021

    Open Access•Ruihua Chen, Yafu Gong et al.•ARTICLE•SAGE Open•2023

    This systematic review aims to identify the research trend and gap of strategy-based instruction research in second or foreign language domain from 2000 to 2021. The study involves both bibliometric and content analysis. To gain an overall understanding of the research on strategy-based instruction, this study employs keywords co-occurrence analysis to analyze data obtained from Web of Science and Scopus. The content analysis coded four themes: l…

  • The Pathway of Urban Planning AI

    Open Access•Zhong‐ren Peng, Kai-Fa Lu et al.•ARTICLE•Journal of Planning Education and…•2023•Cited by: 8•References: 8

    Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a t…

  • The Pathway of Urban Planning AI

    Open Access•Zhong‐ren Peng, Kai-Fa Lu et al.•ARTICLE•Journal of Planning Education and…•2023•Cited by: 8•References: 8

    Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a t…

  • Unraveling urban bike-sharing dynamics

    Open Access•Kai-Fa Lu, Yanghe Liu et al.•ARTICLE•Cities•2025•Cited by: 2

  • A Bibliometric and Content Analysis of Strategy-Based Instruction in Second or Foreign Language Teaching From 2000 to 2021

    Open Access•Ruihua Chen, Yafu Gong et al.•ARTICLE•SAGE Open•2023

    This systematic review aims to identify the research trend and gap of strategy-based instruction research in second or foreign language domain from 2000 to 2021. The study involves both bibliometric and content analysis. To gain an overall understanding of the research on strategy-based instruction, this study employs keywords co-occurrence analysis to analyze data obtained from Web of Science and Scopus. The content analysis coded four themes: l…

  • The Pathway of Urban Planning AI

    Open Access•Zhong‐ren Peng, Kai-Fa Lu et al.•ARTICLE•Journal of Planning Education and…•2023•Cited by: 8•References: 8

    Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a t…

  • Unraveling urban bike-sharing dynamics

    Open Access•Kai-Fa Lu, Yanghe Liu et al.•ARTICLE•Cities•2025•Cited by: 2

  • Characterizing performance resilience of transportation networks against hurricane events

    Open Access•Kai-Fa Lu, Kan Lu et al.•ARTICLE•Applied Geography•2026

  • Symbiotic Planning Theory

    Zhong‐ren Peng, Kai-Fa Lu et al.•ARTICLE•Journal of the American Planning…•2026

Sociology (3 works) · Computer Science (2 works) · Engineering (2 works) · Smart Cities and Technologies (2 works) · Transport engineering (2 works) · Urban planning (2 works) · Adaptation (eye) (1 work) · Artificial Intelligence (1 work) · Automated planning and scheduling (1 work) · Bike sharing (1 work)

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