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Yuanxin Ren

Biographic Data

ID7312367
NAMEYuanxin Ren
GIVEN NAMESYuanxin
FAMILY NAMERen
SIGNATUREREN Y
AFFILIATIONSTianjin University of Traditional Chinese Medicine
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • River algal blooms can be estimated by remote sensing reflectance

    Open Access•Tonghui Huang, Rui Xia et al.•ARTICLE•Environmental Research Letters•2024

    River eutrophication is difficult to diagnose and estimate quantitatively because of its complex degradation mechanism in large river systems. Conventional monitoring and modeling methods are limited to accurately revealing the evolution process and trends of river aquatic organisms. In the present study, based on HJ-1A/1B CCD sensor, combined with genetic algorithm (GA) and regression tree (GART), a remote sensing inversion prediction model was …

  • Integrating pharmacokinetics and network pharmacology to identify and validate targets of Guben Xiaozhen prescription for the treatment of chronic urticaria

    Open Access•Yayun Wu, Yuanxin Ren et al.•ARTICLE•Journal of Ethnopharmacology•2022

No prominent works on this page.

  • Integrating pharmacokinetics and network pharmacology to identify and validate targets of Guben Xiaozhen prescription for the treatment of chronic urticaria

    Open Access•Yayun Wu, Yuanxin Ren et al.•ARTICLE•Journal of Ethnopharmacology•2022

  • River algal blooms can be estimated by remote sensing reflectance

    Open Access•Tonghui Huang, Rui Xia et al.•ARTICLE•Environmental Research Letters•2024

    River eutrophication is difficult to diagnose and estimate quantitatively because of its complex degradation mechanism in large river systems. Conventional monitoring and modeling methods are limited to accurately revealing the evolution process and trends of river aquatic organisms. In the present study, based on HJ-1A/1B CCD sensor, combined with genetic algorithm (GA) and regression tree (GART), a remote sensing inversion prediction model was …

Active ingredient (1 works) · Algal bloom (1 works) · Bioavailability (1 works) · Biology (1 works) · Bloom (1 works) · Chemistry (1 works) · Cmax (1 works) · Ecology (1 works) · Environmental Science (1 works) · Eutrophication (1 works)

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