World's Best Scientists 2026 revealed!

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Environmental Sciences

D-Index
68
Citations
12456
World Ranking
1904
National Ranking
180

Overview

Fanghua Hao is affiliated with Beijing Normal University in China, focusing primarily on environmental science with a substantial body of work in global and planetary change.

Their research encompasses several subfields including:

  • Global and Planetary Change
  • Water Science and Technology
  • Ecology
  • Ecology, Evolution, Behavior and Systematics
  • Soil Science

Main topics studied by Fanghua Hao cover a wide range of environmental and agricultural concerns such as:

  • Climate variability and models
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing in Agriculture
  • Climate change impacts on agriculture
  • Soil erosion and sediment transport

Among the recent publications, key papers address drought dynamics, machine learning applications in agriculture, and climate extremes:

  • "Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors" (2022, The Science of The Total Environment)
  • "Integrated phenology and climate in rice yields prediction using machine learning methods" (2020, Ecological Indicators)
  • "Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts" (2022, Earth-Science Reviews)
  • "Agricultural drought prediction in China based on drought propagation and large-scale drivers" (2021, Agricultural Water Management)
  • "Characterization of agricultural drought propagation over China based on bivariate probabilistic quantification" (2021, Journal of Hydrology)

Fanghua Hao frequently collaborates with several co-authors, notably:

  • Xuan Zhang
  • Zengchao Hao
  • Yongshuo H. Fu
  • Sifang Feng
  • Yang Xu

The scientist has published extensively in academic journals, with a notable presence in:

  • Journal of Hydrology
  • International Journal of Climatology
  • The Science of The Total Environment
  • Agricultural Water Management
  • Water

Best Publications

  • Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors.

    Unknown

  • Heavy metal loss from agricultural watershed to aquatic system: A scientometrics review.

    Wei Ouyang;Yidi Wang;Chunye Lin;Mengchang He

  • Integrated phenology and climate in rice yields prediction using machine learning methods

    Yahui Guo;Yongshuo Fu;Fanghua Hao;Xuan Zhang

  • Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts

    Unknown

  • Propagation from meteorological drought to hydrological drought under the impact of human activities: A case study in northern China

    Yang Xu;Xuan Zhang;Xiao Wang;Zengchao Hao

  • Changes in the severity of compound drought and hot extremes over global land areas

    Zengchao Hao;Fanghua Hao;Vijay P Singh;Xuan Zhang

  • Predicting hydrologic response to climate change in the Luohe River Basin using the SWAT model

    X. Zhang;R. Srinivasan;F. Hao

  • Properties comparison of biochars from corn straw with different pretreatment and sorption behaviour of atrazine.

    Xuchen Zhao;Wei Ouyang;Fanghua Hao;Chunye Lin

  • Soil erosion dynamics response to landscape pattern

    Wei Ouyang;Andrew K. Skidmore;Fanghua Hao;Tiejun Wang

  • Identification of sources of heavy metals in agricultural soils using multivariate analysis and GIS

    Yushu Shan;Yushu Shan;Mats Tysklind;Fanghua Hao;Wei Ouyang

  • Soil erosion and sediment yield and their relationships with vegetation cover in upper stream of the Yellow River

    Wei Ouyang;Fanghua Hao;Andrew K. Skidmore;A.G. Toxopeus

  • Larger temperature response of autumn leaf senescence than spring leaf-out phenology.

    Yongshuo H. Fu;Yongshuo H. Fu;Shilong Piao;Shilong Piao;Nicolas Delpierre;Fanghua Hao

  • Runoff Simulation of the Headwaters of the Yellow River Using The SWAT Model With Three Snowmelt Algorithms1

    Xuesong Zhang;Raghavan Srinivasan;Bekele Debele;Fanghua Hao

  • Exploring the application of artificial intelligence technology for identification of water pollution characteristics and tracing the source of water quality pollutants.

    Puze Wang;Jiping Yao;Guoqiang Wang;Fanghua Hao

  • Long-term vegetation landscape pattern with non-point source nutrient pollution in upper stream of Yellow River basin

    Wei Ouyang;Wei Ouyang;Andrew K. Skidmore;A.G. Toxopeus;Fanghua Hao

  • An Overview of Drought Monitoring and Prediction Systems at Regional and Global Scales

    Zengchao Hao;Xing Yuan;Youlong Xia;Fanghua Hao

  • Agricultural drought prediction in China based on drought propagation and large-scale drivers

    Yu Zhang;Zengchao Hao;Sifang Feng;Xuan Zhang

  • Characterization of agricultural drought propagation over China based on bivariate probabilistic quantification

    Yang Xu;Xuan Zhang;Zengchao Hao;Vijay P. Singh

  • Compound Extremes in Hydroclimatology: A Review

    Zengchao Hao;Vijay P. Singh;Fanghua Hao

  • Variations of compound precipitation and temperature extremes in China during 1961-2014.

    Xinying Wu;Zengchao Hao;Fanghua Hao;Xuan Zhang

  • Probabilistic evaluation of the impact of compound dry-hot events on global maize yields

    Sifang Feng;Zengchao Hao;Xuan Zhang;Fanghua Hao

  • Daylength helps temperate deciduous trees to leaf-out at the optimal time.

    Yongshuo H. Fu;Yongshuo H. Fu;Xuan Zhang;Shilong Piao;Shilong Piao;Fanghua Hao

  • Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

    Fanghua Hao;Xuan Zhang;Wei Ouyang;Andrew K. Skidmore

Frequent Co-Authors

Wei Ouyang
Wei Ouyang Beijing Normal University
Zengchao Hao
Zengchao Hao Beijing Normal University
Yongshuo H. Fu
Yongshuo H. Fu Beijing Normal University
Vijay P. Singh
Vijay P. Singh Texas A&M University
Chunye Lin
Chunye Lin Beijing Normal University
Shilong Piao
Shilong Piao Peking University
Youlong Xia
Youlong Xia M-Systems
Andrew K. Skidmore
Andrew K. Skidmore University of Twente
Ivan A. Janssens
Ivan A. Janssens University of Antwerp
Mats Tysklind
Mats Tysklind Umeå University

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