Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Pei‐Chun Lin

Biographic Data

ID6605894
NAMEPei‐Chun Lin
GIVEN NAMESPei‐Chun
FAMILY NAMELin
SIGNATURELIN P C
AFFILIATIONSNational Cheng Kung University
ORCID0000-0002-4400-923X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Machine learning for diabetic foot care: Accuracy trends and emerging directions in healthcare AI

    Open Access•Pei‐Chun Lin, Tsai-Chung Li et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Diabetic foot is a common and debilitating complication of diabetes that significantly impacts patients' quality of life and frequently leads to amputation. In parallel, artificial intelligence (AI), particularly machine learning (ML), has emerged as a powerful tool in healthcare, offering novel solutions for disease prediction, monitoring, and management. Despite growing interest, a systematic overview of machine learning application…

  • Spatial Spillover of the Global Internet Penetration Rate and the Digital Gender Divide

    Open Access•Jenhung Wang, Pei‐Chun Lin•ARTICLE•SAGE Open•2024

    This study investigated the possible contributing factors to the digital gender divide and the spatial spillover effects of submarine communication cables on neighboring areas. Using spatial statistical models and global data, this study examined the Internet penetration rate and the digital gender divide in 186 countries. Data sources included open source data, social media, ITU and UNCTAD databases, and the World Bank. The study estimated the a…

  • Retail location modeling of supermarket chains in Taipei city

    Open Access•Pei‐Chun Lin, T C E Cheng et al.•ARTICLE•Applied Geography•2023

  • Assessing the carbon footprint of tourism businesses using environmentally extended input-output analysis

    Csilla Demeter, Pei‐Chun Lin et al.•ARTICLE•Journal of Sustainable Tourism•2022

    The tourism industry contributes eight percent to global carbon emissions, directly and indirectly. Indirect carbon emissions are often neglected because they are difficult to calculate. The traditional approach to calculating indirect emissions – Life Cycle Assessment – is expensive and requires an expert data analyst. We introduce an alternative approach, the Environmentally Extended Input-Output Analysis. We show how this approach – currently …

  • The influence factors on choice behavior regarding green products based on the theory of consumption values

    Open Access•Pei-Chun Lin, Pei‐Chun Lin et al.•ARTICLE•Journal of Cleaner Production•2012

No prominent works on this page.

  • The influence factors on choice behavior regarding green products based on the theory of consumption values

    Open Access•Pei-Chun Lin, Pei‐Chun Lin et al.•ARTICLE•Journal of Cleaner Production•2012

  • Assessing the carbon footprint of tourism businesses using environmentally extended input-output analysis

    Csilla Demeter, Pei‐Chun Lin et al.•ARTICLE•Journal of Sustainable Tourism•2022

    The tourism industry contributes eight percent to global carbon emissions, directly and indirectly. Indirect carbon emissions are often neglected because they are difficult to calculate. The traditional approach to calculating indirect emissions – Life Cycle Assessment – is expensive and requires an expert data analyst. We introduce an alternative approach, the Environmentally Extended Input-Output Analysis. We show how this approach – currently …

  • Retail location modeling of supermarket chains in Taipei city

    Open Access•Pei‐Chun Lin, T C E Cheng et al.•ARTICLE•Applied Geography•2023

  • Spatial Spillover of the Global Internet Penetration Rate and the Digital Gender Divide

    Open Access•Jenhung Wang, Pei‐Chun Lin•ARTICLE•SAGE Open•2024

    This study investigated the possible contributing factors to the digital gender divide and the spatial spillover effects of submarine communication cables on neighboring areas. Using spatial statistical models and global data, this study examined the Internet penetration rate and the digital gender divide in 186 countries. Data sources included open source data, social media, ITU and UNCTAD databases, and the World Bank. The study estimated the a…

  • Machine learning for diabetic foot care: Accuracy trends and emerging directions in healthcare AI

    Open Access•Pei‐Chun Lin, Tsai-Chung Li et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Diabetic foot is a common and debilitating complication of diabetes that significantly impacts patients' quality of life and frequently leads to amputation. In parallel, artificial intelligence (AI), particularly machine learning (ML), has emerged as a powerful tool in healthcare, offering novel solutions for disease prediction, monitoring, and management. Despite growing interest, a systematic overview of machine learning application…

Business (4 works) · Economics (4 works) · Microeconomics (4 works) · Computer Science (3 works) · Economic geography (2 works) · Environmental economics (2 works) · Geography (2 works) · Marketing (2 works) · Psychology (2 works) · Tourism (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae