D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 41 Citations 4,856 128 World Ranking 3907 National Ranking 139

Overview

What is he best known for?

The fields of study he is best known for:

  • Agriculture
  • Ecology
  • Climate change

His primary scientific interests are in Agronomy, Climate change, Allelopathy, Phenology and Botany. His Agronomy research incorporates elements of Canopy and Soil quality. His research integrates issues of Agriculture, Agricultural productivity, Surface runoff and Greenhouse gas in his study of Climate change.

His Agriculture research integrates issues from Field pea, Crop, Soil type and Crop yield. De Li Liu interconnects Yield, Carbon dioxide in Earth's atmosphere, Growing season and Sowing in the investigation of issues within Agricultural productivity. His Allelopathy research is multidisciplinary, incorporating perspectives in Ecology, Bioassay and Radicle, Seedling.

His most cited work include:

  • Estimation of solar radiation in Australia from rainfall and temperature observations (155 citations)
  • Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia (103 citations)
  • Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia (103 citations)

What are the main themes of his work throughout his whole career to date?

Climate change, Agronomy, Agriculture, Yield and Evapotranspiration are his primary areas of study. His Climate change study integrates concerns from other disciplines, such as Cropping, Soil water, Agricultural productivity and Crop yield. De Li Liu usually deals with Crop yield and limits it to topics linked to Precipitation and Spatial variability.

Agronomy is closely attributed to Soil carbon in his research. His work deals with themes such as Random forest, Effects of global warming, Linear regression and Sowing, which intersect with Yield. His studies examine the connections between Evapotranspiration and genetics, as well as such issues in Water-use efficiency, with regards to Water use and Water balance.

He most often published in these fields:

  • Climate change (82.68%)
  • Agronomy (48.60%)
  • Agriculture (35.20%)

What were the highlights of his more recent work (between 2019-2021)?

  • Climate change (82.68%)
  • Evapotranspiration (32.40%)
  • Representative Concentration Pathways (24.02%)

In recent papers he was focusing on the following fields of study:

De Li Liu mainly focuses on Climate change, Evapotranspiration, Representative Concentration Pathways, Yield and Agronomy. The concepts of his Climate change study are interwoven with issues in Water use and Agriculture, Agricultural productivity. His Agriculture research is multidisciplinary, incorporating elements of Interpolation and Soil water balance.

The various areas that he examines in his Evapotranspiration study include Arid, Empirical orthogonal functions and Precipitation. He combines subjects such as Machine learning and Sowing with his study of Yield. In his research on the topic of Agronomy, Crop is strongly related with Soil water.

Between 2019 and 2021, his most popular works were:

  • Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs. (21 citations)
  • Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios (16 citations)
  • Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios (16 citations)

In his most recent research, the most cited papers focused on:

  • Agriculture
  • Ecology
  • Climate change

De Li Liu mostly deals with Climate change, Precipitation, Evapotranspiration, Crop yield and Yield. His Climate change research focuses on Representative Concentration Pathways in particular. His studies in Evapotranspiration integrate themes in fields like General Circulation Model, Drought risk and Regression.

His Crop yield research incorporates themes from Regression analysis, Statistics, Linear regression, Random forest and Normalized Difference Vegetation Index. His work in Yield tackles topics such as Growing season which are related to areas like Permanent wilting point. His studies deal with areas such as Arid and Soil water as well as Agronomy.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Estimation of solar radiation in Australia from rainfall and temperature observations

D.L Liu;B.J Scott.
Agricultural and Forest Meteorology (2001)

246 Citations

Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia

Muhuddin Rajin Anwar;Muhuddin Rajin Anwar;De Li Liu;De Li Liu;Robert Farquharson;Ian Macadam.
Agricultural Systems (2015)

190 Citations

Adapting agriculture to climate change: a review

Muhuddin Rajin Anwar;De Li Liu;Ian Macadam;Georgina Kelly.
Theoretical and Applied Climatology (2013)

179 Citations

Biologically active secondary metabolites of barley. II. Phytotoxicity of barley allelochemicals.

D. L. Liu;J. V. Lovett.
Journal of Chemical Ecology (1993)

145 Citations

Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia

De Li Liu;Heping Zuo.
Climatic Change (2012)

134 Citations

Autotoxicity of wheat ( Triticum aestivum L.) as determined by laboratory bioassays

Hanwen Wu;Jim Pratley;Deirdre Lemerle;Min An.
Plant and Soil (2007)

131 Citations

Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

Puyu Feng;Puyu Feng;Bin Wang;De Li Liu;De Li Liu;Qiang Yu;Qiang Yu;Qiang Yu.
Agricultural Systems (2019)

110 Citations

Biologically active secondary metabolites of barley. I. Developing techniques and assessing allelopathy in barley.

D. L. Liu;J. V. Lovett.
Journal of Chemical Ecology (1993)

109 Citations

Mathematical Modeling of Allelopathy. III. A Model for Curve-Fitting Allelochemical Dose Responses

De Li Liu;Min An;Ian R. Johnson;John V. Lovett.
Nonlinearity in Biology, Toxicology, and Medicine (2003)

107 Citations

High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia

Bin Wang;Cathy Waters;Susan Orgill;Jonathan Gray.
Science of The Total Environment (2018)

106 Citations

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