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Fu Sun

Biographic Data

ID6840242
NAMEFu Sun
GIVEN NAMESFu
FAMILY NAMESun
SIGNATURESUN F
AFFILIATIONSTsinghua University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Improved predictive performance of cyanobacterial blooms using a hybrid statistical and deep-learning method

    Open Access•Hu Li, Chengxin Qin et al.•ARTICLE•Environmental Research Letters•2021

    Cyanobacterial harmful algal blooms (CyanoHABs) threaten ecosystem functioning and human health at both regional and global levels, and this threat is likely to become more frequent and severe under climate change. Predictive information can help local water managers to alleviate or manage the adverse effects posed by CyanoHABs. Previous works have led to various approaches for predicting cyanobacteria abundance by feeding various environmental v…

  • Developing and applying water security metrics in China

    Open Access•Fu Sun, C Staddon et al.•ARTICLE•Current Opinion in Environmental…•2016•Cited by: 2•References: 1

  • Global progress in climate change adaptation policies and its implication for China

    Open Access•Fu Sun, Xiaojia He et al.•ARTICLE•Chinese Journal of Population…•2015

  • Developing and applying water security metrics in China

    Open Access•Fu Sun, C Staddon et al.•ARTICLE•Current Opinion in Environmental…•2016•Cited by: 2•References: 1

  • Global progress in climate change adaptation policies and its implication for China

    Open Access•Fu Sun, Xiaojia He et al.•ARTICLE•Chinese Journal of Population…•2015

  • Developing and applying water security metrics in China

    Open Access•Fu Sun, C Staddon et al.•ARTICLE•Current Opinion in Environmental…•2016•Cited by: 2•References: 1

  • Improved predictive performance of cyanobacterial blooms using a hybrid statistical and deep-learning method

    Open Access•Hu Li, Chengxin Qin et al.•ARTICLE•Environmental Research Letters•2021

    Cyanobacterial harmful algal blooms (CyanoHABs) threaten ecosystem functioning and human health at both regional and global levels, and this threat is likely to become more frequent and severe under climate change. Predictive information can help local water managers to alleviate or manage the adverse effects posed by CyanoHABs. Previous works have led to various approaches for predicting cyanobacteria abundance by feeding various environmental v…

Business (2 works) · China (2 works) · Climate change (2 works) · Ecology (2 works) · Economics (2 works) · Environmental resource management (2 works) · Environmental Science (2 works) · Political science (2 works) · Action plan (1 work) · Algal bloom (1 work)

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