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Xiangyang Feng

Biographic Data

ID6702634
NAMEXiangyang Feng
GIVEN NAMESXiangyang
FAMILY NAMEFeng
SIGNATUREFENG X
AFFILIATIONSSchool of Public Policy and Management China University of Mining and Technology Xuzhou China
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Mapping Soil Organic Carbon in High‐standard Farmland Construction Areas Using Machine Learning Algorithms

    Open Access•Zhaoqi Wu, Zening Wu et al.•ARTICLE•Land Degradation and Development•2025

    Accurate mapping soil organic carbon (SOC) in high‐standard farmland (HSF) construction areas is essential for optimizing agricultural management practices and achieving carbon sequestration. However, how to quantify the construction activities of HSF and predict SOC is still unclear. In this study, we proposed a framework to quantify the impacts of HSF construction activities on SOC from four perspectives: landscape pattern, agricultural infrast…

  • Information Management and User Engagement in Corporate Social Responsibility Communication

    Open Access•Yuxun Zhou, Qinxin Zhang et al.•ARTICLE•El Profesional de la Informacion•2024

    China and America are world’s leading countries in technology, digitalization and advanced systems. Both countries seek to maximize their system qualities and customer-centered services to capture their engagement and long-term interaction. In this domain, this study investigated the impact of information system factors on users’ engagement with the mediation of corporate social responsibility (CSR). This study was structured according to quantit…

No prominent works on this page.

  • Information Management and User Engagement in Corporate Social Responsibility Communication

    Open Access•Yuxun Zhou, Qinxin Zhang et al.•ARTICLE•El Profesional de la Informacion•2024

    China and America are world’s leading countries in technology, digitalization and advanced systems. Both countries seek to maximize their system qualities and customer-centered services to capture their engagement and long-term interaction. In this domain, this study investigated the impact of information system factors on users’ engagement with the mediation of corporate social responsibility (CSR). This study was structured according to quantit…

  • Mapping Soil Organic Carbon in High‐standard Farmland Construction Areas Using Machine Learning Algorithms

    Open Access•Zhaoqi Wu, Zening Wu et al.•ARTICLE•Land Degradation and Development•2025

    Accurate mapping soil organic carbon (SOC) in high‐standard farmland (HSF) construction areas is essential for optimizing agricultural management practices and achieving carbon sequestration. However, how to quantify the construction activities of HSF and predict SOC is still unclear. In this study, we proposed a framework to quantify the impacts of HSF construction activities on SOC from four perspectives: landscape pattern, agricultural infrast…

Computer Science (2 works) · Agricultural engineering (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Communication and COVID-19 Impact (1 work) · Corporate social responsibility (1 work) · Econometrics (1 work) · Engineering (1 work) · Environmental Science (1 work)

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