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Qi Hua

Biographic Data

ID7316581
NAMEQi Hua
GIVEN NAMESQi
FAMILY NAMEHua
SIGNATUREHUA Q
AFFILIATIONSCapital Medical University
ORCID0000-0002-5115-2149
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Acquirer Carbon Risk and M&A Performance

    Open Access•Jianquan Guo, Qi Hua et al.•ARTICLE•South Asian Research Journal of…•2023

    This paper selects a sample of cross-border M&A events by Chinese acquirers over the period 2000-2021 and uses a multiple regression model to investigate the relationship between acquirer’s carbon risk and M&A performance. On the one hand, it explores whether the acquirer’s carbon risk promotes M&A performance and whether the selection of other developing economies as host countries by Chinese acquirers can strengthen the above relationship. On t…

  • Efficacy of add-on Danhong injection in patients with unstable angina pectoris

    Open Access•Lin Chen, Guang Fu et al.•ARTICLE•Journal of Ethnopharmacology•2022

  • Using geographically weighted regression to predict the spatial distribution of frozen ground temperature

    Open Access•Rui Zhao, Mingxing Yao et al.•ARTICLE•Environmental Research Letters•2020

    This paper combines the use of principal component analysis (PCA) and the geographically weighted regression (GWR) model to predict the spatial distribution of frozen ground temperature. PCA is used to reduce the multicollinearity among covariates, while the GWR model is used to address the spatially non-stationary relationship between frozen ground temperature and its predictors, such as air temperature, latitude, longitude, and vegetation cover…

No prominent works on this page.

  • Using geographically weighted regression to predict the spatial distribution of frozen ground temperature

    Open Access•Rui Zhao, Mingxing Yao et al.•ARTICLE•Environmental Research Letters•2020

    This paper combines the use of principal component analysis (PCA) and the geographically weighted regression (GWR) model to predict the spatial distribution of frozen ground temperature. PCA is used to reduce the multicollinearity among covariates, while the GWR model is used to address the spatially non-stationary relationship between frozen ground temperature and its predictors, such as air temperature, latitude, longitude, and vegetation cover…

  • Efficacy of add-on Danhong injection in patients with unstable angina pectoris

    Open Access•Lin Chen, Guang Fu et al.•ARTICLE•Journal of Ethnopharmacology•2022

  • Acquirer Carbon Risk and M&A Performance

    Open Access•Jianquan Guo, Qi Hua et al.•ARTICLE•South Asian Research Journal of…•2023

    This paper selects a sample of cross-border M&A events by Chinese acquirers over the period 2000-2021 and uses a multiple regression model to investigate the relationship between acquirer’s carbon risk and M&A performance. On the one hand, it explores whether the acquirer’s carbon risk promotes M&A performance and whether the selection of other developing economies as host countries by Chinese acquirers can strengthen the above relationship. On t…

Alternative medicine (1 work) · Anesthesia (1 work) · Angina (1 work) · Business (1 work) · Carbon fibers (1 work) · China (1 work) · Climate change and permafrost (1 work) · Climatology (1 work) · Clinical trial (1 work) · Cryospheric studies and observations (1 work)

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