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Zhaohua Wu

Biographic Data

ID6372384
NAMEZhaohua Wu
GIVEN NAMESZhaohua
FAMILY NAMEWu
SIGNATUREWU Z
AFFILIATIONSMudanjiang Medical University
ORCID0000-0003-1660-0724
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Changing rapid weather variability increases influenza epidemic risk in a warming climate

    Open Access•Qi Liu, Zhe‐Min Tan et al.•ARTICLE•Environmental Research Letters•2020

    It is believed that the continuing change in the Earth’s climate will affect the viral activity and transmission of influenza over the coming decades. However, a consensus of the severity of the risk of an influenza epidemic in a warming climate has not been reached. It was previously reported that the warmer winter can reduce influenza epidemic caused mortality, but this relation cannot explain the deadly influenza epidemic in many countries ove…

  • Therapeutic effects of Caesalpinia minax Hance on complete Freund's adjuvant (CFA)-induced arthritis and the anti-inflammatory activity of cassane diterpenes as main active components

    Open Access•Ziwei Tong, Li Cheng et al.•ARTICLE•Journal of Ethnopharmacology•2018

  • Ensemble Empirical Mode Decomposition

    Zhaohua Wu, Norden E Huang•ARTICLE•Advances in Adaptive Data Analysis•2009

    A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the final true result. Finite, not infinitesimal, amplitude white noise is necessary to force the ensemble to exhaust all possible solutions in the sifting process, thus making the different scale signals to collate in the proper intrinsic mode functions (IMF) dictated by the …

No prominent works on this page.

  • Ensemble Empirical Mode Decomposition

    Zhaohua Wu, Norden E Huang•ARTICLE•Advances in Adaptive Data Analysis•2009

    A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the final true result. Finite, not infinitesimal, amplitude white noise is necessary to force the ensemble to exhaust all possible solutions in the sifting process, thus making the different scale signals to collate in the proper intrinsic mode functions (IMF) dictated by the …

  • Therapeutic effects of Caesalpinia minax Hance on complete Freund's adjuvant (CFA)-induced arthritis and the anti-inflammatory activity of cassane diterpenes as main active components

    Open Access•Ziwei Tong, Li Cheng et al.•ARTICLE•Journal of Ethnopharmacology•2018

  • Changing rapid weather variability increases influenza epidemic risk in a warming climate

    Open Access•Qi Liu, Zhe‐Min Tan et al.•ARTICLE•Environmental Research Letters•2020

    It is believed that the continuing change in the Earth’s climate will affect the viral activity and transmission of influenza over the coming decades. However, a consensus of the severity of the risk of an influenza epidemic in a warming climate has not been reached. It was previously reported that the warmer winter can reduce influenza epidemic caused mortality, but this relation cannot explain the deadly influenza epidemic in many countries ove…

Adjuvant (1 work) · Algorithm (1 work) · Anti-inflammatory (1 work) · Arthritis (1 work) · Artificial Intelligence (1 work) · Biological Stains and Phytochemicals (1 work) · Biology (1 work) · Blind Source Separation Techniques (1 work) · Climate change (1 work) · Climate Change and Health Impacts (1 work)

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