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Yitong Zhang

Datos Biográficos

ID6950460
NOMBREYitong Zhang
NOMBRESYitong
APELLIDOZhang
FIRMAZHANG Y
AFILIACIONESSecond Affiliated Hospital of Xi'an Jiaotong University
ORCID0000-0002-5378-1854
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Screening Carbon‐Efficient Urban Woody Plants in High‐altitude Xining

    Open Access•Huilin Yang, Yitong Zhang et al.•ARTICLE•Trees Forests and People•2026

    Urban green spaces are increasingly expected to support municipal carbon mitigation, yet species-level evidence remains scarce for high-altitude cold cities. We quantified seasonal net photosynthetic rate (Pn) and estimated growing-season canopy CO2 assimilation potential for 106 commonly planted urban woody species (58 trees and 48 shrubs) across sixteen urban green-space sites in Xining, China (2,261 m a.s.l.), during the 2025 growing season (M…

  • Do new quality productivity forces contribute to wellness tourism resilience? Empirical evidence from China

    Open Access•Wei Heng, Yitong Zhang et al.•ARTICLE•Frontiers in Sports and Active…•2025•Referencias: 2

    Building upon the theoretical foundation of New Quality Productivity Forces (NQPF) and its integration with industrial applications, this study takes wellness tourism as the research carrier and constructs the theoretical framework of "three-dimensional empowerment and four-dimensional evaluation". Methodologically, We employ an integrated approach combining ArcGIS 10.8 spatial analysis technology with a two-way fixed effects model to empirically…

  • Construction and validation of a Covid-19 pandemic trend forecast model based on Google Trends data for smell and taste loss

    Open Access•Jingguo Chen, Hao Mi et al.•ARTICLE•Frontiers in Public Health•2022

    Aim: To explore the role of smell and taste changes in preventing and controlling the COVID-19 pandemic, we aimed to build a forecast model for trends in COVID-19 prediction based on Google Trends data for smell and taste loss. Methods: Data on confirmed COVID-19 cases from 6 January 2020 to 26 December 2021 were collected from the World Health Organization (WHO) website. The keywords "loss of smell" and "loss of taste" were used to search the Go…

Sin obras prominentes en esta página.

  • Construction and validation of a Covid-19 pandemic trend forecast model based on Google Trends data for smell and taste loss

    Open Access•Jingguo Chen, Hao Mi et al.•ARTICLE•Frontiers in Public Health•2022

    Aim: To explore the role of smell and taste changes in preventing and controlling the COVID-19 pandemic, we aimed to build a forecast model for trends in COVID-19 prediction based on Google Trends data for smell and taste loss. Methods: Data on confirmed COVID-19 cases from 6 January 2020 to 26 December 2021 were collected from the World Health Organization (WHO) website. The keywords "loss of smell" and "loss of taste" were used to search the Go…

  • Do new quality productivity forces contribute to wellness tourism resilience? Empirical evidence from China

    Open Access•Wei Heng, Yitong Zhang et al.•ARTICLE•Frontiers in Sports and Active…•2025•Referencias: 2

    Building upon the theoretical foundation of New Quality Productivity Forces (NQPF) and its integration with industrial applications, this study takes wellness tourism as the research carrier and constructs the theoretical framework of "three-dimensional empowerment and four-dimensional evaluation". Methodologically, We employ an integrated approach combining ArcGIS 10.8 spatial analysis technology with a two-way fixed effects model to empirically…

  • Screening Carbon‐Efficient Urban Woody Plants in High‐altitude Xining

    Open Access•Huilin Yang, Yitong Zhang et al.•ARTICLE•Trees Forests and People•2026

    Urban green spaces are increasingly expected to support municipal carbon mitigation, yet species-level evidence remains scarce for high-altitude cold cities. We quantified seasonal net photosynthetic rate (Pn) and estimated growing-season canopy CO2 assimilation potential for 106 commonly planted urban woody species (58 trees and 48 shrubs) across sixteen urban green-space sites in Xining, China (2,261 m a.s.l.), during the 2025 growing season (M…

Advanced Chemical Sensor Technologies (1 obras) · Biology (1 obras) · Biosensors and Analytical Detection (1 obras) · Canopy (1 obras) · China (1 obras) · Data-Driven Disease Surveillance (1 obras) · Deciduous (1 obras) · Demography (1 obras) · Diverse Aspects of Tourism Research (1 obras) · Empirical evidence (1 obras)

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