D-Index & Metrics Best Publications

D-Index & Metrics

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 34 Citations 4,259 149 World Ranking 4745 National Ranking 267

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Agriculture

His primary areas of study are Soil science, Hydrology, Soil water, Soil test and Soil salinity. His research integrates issues of Covariate and Probability sampling in his study of Soil science. His Hydrology research includes elements of Soil conservation, Remnant vegetation, Grazing and Digital soil mapping.

His work on Soil pH is typically connected to Environmental pollution as part of general Soil water study, connecting several disciplines of science. Zhou Shi interconnects In situ, Organic matter, Partial least squares regression and Total organic carbon in the investigation of issues within Soil test. His Soil salinity research includes elements of Soil map, Land reclamation and Topsoil.

His most cited work include:

  • A global spectral library to characterize the world’s soil (280 citations)
  • Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land (142 citations)
  • Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations (81 citations)

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

Zhou Shi mainly focuses on Soil science, Soil water, Remote sensing, Soil salinity and Hydrology. His Soil science study frequently links to adjacent areas such as Spatial variability. His study in Soil water is interdisciplinary in nature, drawing from both Contamination, Pollution and Environmental health.

His biological study spans a wide range of topics, including Spectrometer, Canopy, Land use and Yield. While the research belongs to areas of Soil salinity, Zhou Shi spends his time largely on the problem of Land reclamation, intersecting his research to questions surrounding Agricultural land. His work on Erosion as part of general Hydrology research is often related to Silt, thus linking different fields of science.

He most often published in these fields:

  • Soil science (30.90%)
  • Soil water (23.60%)
  • Remote sensing (17.98%)

What were the highlights of his more recent work (between 2018-2021)?

  • Soil water (23.60%)
  • Soil science (30.90%)
  • Pollution (10.67%)

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

His primary scientific interests are in Soil water, Soil science, Pollution, Soil carbon and Digital soil mapping. His Soil water study combines topics from a wide range of disciplines, such as Agriculture, Contamination, Abundance and Environmental health. His Soil science research incorporates elements of Partial least squares regression, Sensor fusion and Scale.

His work deals with themes such as In situ and Land use, land-use change and forestry, Land use, which intersect with Soil carbon. His research in Digital soil mapping intersects with topics in Soil type, Spatial variability, Physical geography, Vegetation and Soil salinity. His studies deal with areas such as Remote sensing and Remote sensing as well as Soil salinity.

Between 2018 and 2021, his most popular works were:

  • Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China (51 citations)
  • Land use and climate change effects on soil organic carbon in North and Northeast China. (33 citations)
  • Land use and climate change effects on soil organic carbon in North and Northeast China. (33 citations)

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

  • Ecology
  • Statistics
  • Agriculture

His scientific interests lie mostly in Soil water, Soil science, Hydrology, Digital soil mapping and Soil salinity. His Soil water research focuses on Pollution and how it connects with Environmental health. His Soil science study combines topics in areas such as Partial least squares regression, Sensor fusion and Scale.

His studies in Hydrology integrate themes in fields like Yangtze river, Regression and Topsoil. His Digital soil mapping research is multidisciplinary, relying on both Soil carbon and Spatial variability. His Soil salinity research is multidisciplinary, incorporating perspectives in Soil acidification, Soil pH, Soil type, Alkali soil and Environmental remediation.

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

A global spectral library to characterize the world’s soil

R.A. Viscarra Rossel;T. Behrens;E. Ben-Dor;D.J. Brown.
Earth-Science Reviews (2016)

367 Citations

Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land

Yan Li;Zhou Shi;Feng Li;Hong-Yi Li.
Computers and Electronics in Agriculture (2007)

230 Citations

Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations

Zhou Shi;QianLong Wang;Jie Peng;WenJun Ji.
Science China-earth Sciences (2014)

149 Citations

Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis–NIR spectral library

Z. Shi;W. Ji;W. Ji;R. A. Viscarra Rossel;S. Chen.
European Journal of Soil Science (2015)

115 Citations

Accounting for the effects of water and the environment on proximally sensed vis–NIR soil spectra and their calibrations

W. Ji;W. Ji;R. A. Viscarra Rossel;Z. Shi.
European Journal of Soil Science (2015)

101 Citations

Assessment of temporal and spatial variability of soil salinity in a coastal saline field

Z. Shi;Y. Li;R. C. Wang;Franz Makeschine.
Environmental Earth Sciences (2005)

94 Citations

Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China

Jie Peng;Jie Peng;Asim Biswas;Qingsong Jiang;Qingsong Jiang;Ruiying Zhao.
Geoderma (2019)

92 Citations

Mapping the three-dimensional variation of soil salinity in a rice-paddy soil

H.Y. Li;H.Y. Li;Z. Shi;R. Webster;J. Triantafilis.
Geoderma (2013)

92 Citations

Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution.

Bifeng Hu;Songchao Chen;Songchao Chen;Jie Hu;Fang Xia.
PLOS ONE (2017)

89 Citations

A spatial data mining algorithm for downscaling TMPA 3B43 V7 data over the Qinghai-Tibet Plateau with the effects of systematic anomalies removed

Ziqiang Ma;Zhou Shi;Yin Zhou;Junfeng Xu.
Remote Sensing of Environment (2017)

81 Citations

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