Yitong Zhang
Dados Biográficos
| ID | 6950460 |
|---|---|
| NOME | Yitong Zhang |
| PRENOMES | Yitong |
| SOBRENOME | Zhang |
| ASSINATURA | ZHANG Y |
| AFILIAÇÕES | Shanxi University |
| ORCID | 0000-0002-5378-1854 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Screening Carbon‐Efficient Urban Woody Plants in High‐altitude Xining
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
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
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…
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Construction and validation of a Covid-19 pandemic trend forecast model based on Google Trends data for smell and taste loss
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
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
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)