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Hang Feng

Datos Biográficos

ID8318878
NOMBREHang Feng
NOMBRESHang
APELLIDOFeng
FIRMAFENG H
AFILIACIONESZhengzhou University
ORCID0000-0002-8771-9573
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Extracting Geoscientific Dataset Names from the Literature Based on the Hierarchical Temporal Memory Model

    Open Access•Kai Wu, Zugang Chen et al.•ARTICLE•ISPRS International Journal of…•2024

    Extracting geoscientific dataset names from the literature is crucial for building a literature–data association network, which can help readers access the data quickly through the Internet. However, the existing named-entity extraction methods have low accuracy in extracting geoscientific dataset names from unstructured text because geoscientific dataset names are a complex combination of multiple elements, such as geospatial coverage, temporal …

  • Exploring key factors of medical tourism and its relation with tourism attraction and re-visit intention

    Open Access•Jen-Hung Wang, Hang Feng et al.•ARTICLE•Cogent Social Sciences•2020

    Tourism is a globalized industry. Health, wellness and medical tourism are recognized as one of the most developed and thriving in the tourism industry. The purpose of this study is to explore the key factors of medical tourism and discuss its relation with tourism attraction and re-visit intention. The results reveal that: (1) The key criteria are doctor’s expertise and reputation, health evaluation, international certified doctors and staffs, t…

Sin obras prominentes en esta página.

  • Exploring key factors of medical tourism and its relation with tourism attraction and re-visit intention

    Open Access•Jen-Hung Wang, Hang Feng et al.•ARTICLE•Cogent Social Sciences•2020

    Tourism is a globalized industry. Health, wellness and medical tourism are recognized as one of the most developed and thriving in the tourism industry. The purpose of this study is to explore the key factors of medical tourism and discuss its relation with tourism attraction and re-visit intention. The results reveal that: (1) The key criteria are doctor’s expertise and reputation, health evaluation, international certified doctors and staffs, t…

  • Extracting Geoscientific Dataset Names from the Literature Based on the Hierarchical Temporal Memory Model

    Open Access•Kai Wu, Zugang Chen et al.•ARTICLE•ISPRS International Journal of…•2024

    Extracting geoscientific dataset names from the literature is crucial for building a literature–data association network, which can help readers access the data quickly through the Internet. However, the existing named-entity extraction methods have low accuracy in extracting geoscientific dataset names from unstructured text because geoscientific dataset names are a complex combination of multiple elements, such as geospatial coverage, temporal …

Advanced Graph Neural Networks (1 obras) · Artificial Intelligence (1 obras) · Biomedical Text Mining and Ontologies (1 obras) · Business (1 obras) · Certification (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Diverse Aspects of Tourism Research (1 obras) · Global Healthcare and Medical Tourism (1 obras) · Health care (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae