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 36 Citations 5,881 90 World Ranking 5307 National Ranking 2114

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Agriculture
  • Ecosystem

His scientific interests lie mostly in Vegetation, Paddy field, Phenology, Remote sensing and Common spatial pattern. His Vegetation study frequently intersects with other fields, such as Primary production. The Primary production study combines topics in areas such as Spatial distribution, Climate model, Terrestrial ecosystem and Biome.

The concepts of his Paddy field study are interwoven with issues in Land cover, Elevation and Flooding. In his study, Growing season, Agronomy, Temperate climate, Deciduous and Land use, land-use change and forestry is strongly linked to Wetland, which falls under the umbrella field of Phenology. His studies deal with areas such as Land use, Nature Conservation, Grassland, Spatial ecology and Woodland as well as Common spatial pattern.

His most cited work include:

  • Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s (736 citations)
  • Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine (251 citations)
  • Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms (149 citations)

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

Remote sensing, Vegetation, Forestry, Primary production and Physical geography are his primary areas of study. His Remote sensing study integrates concerns from other disciplines, such as Land cover, Normalized Difference Vegetation Index, Biogeochemical cycle and Phenology. His biological study spans a wide range of topics, including Growing season, Paddy field and Deciduous.

Yuanwei Qin combines subjects such as Eddy covariance, Carbon cycle and Terrestrial ecosystem with his study of Primary production. Yuanwei Qin has included themes like Loess plateau, Grassland and Sustainable management in his Physical geography study. His Land use, land-use change and forestry research is multidisciplinary, incorporating perspectives in Spatial ecology, Common spatial pattern, Climate change and Hydrology.

He most often published in these fields:

  • Remote sensing (24.69%)
  • Vegetation (23.46%)
  • Forestry (22.22%)

What were the highlights of his more recent work (between 2020-2021)?

  • Atmospheric sciences (13.58%)
  • Forestry (22.22%)
  • Remote sensing (24.69%)

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

His primary areas of study are Atmospheric sciences, Forestry, Remote sensing, Primary production and Eddy covariance. His Atmospheric sciences research integrates issues from Abundance, Methane and Rice growth. The various areas that Yuanwei Qin examines in his Forestry study include Biomass, Windbreak, Carbon loss and Deforestation.

His Remote sensing research incorporates elements of Amazon basin and Tropical forest. His studies deal with areas such as Phenology, Vegetation and Growing season as well as Primary production. His work on Flux tower as part of his general Eddy covariance study is frequently connected to Air temperature and Analytical chemistry, thereby bridging the divide between different branches of science.

Between 2020 and 2021, his most popular works were:

  • Reply to: “Correlation between paddy rice growth and satellite-observed methane column abundance does not imply causation” (3 citations)
  • Small anomalies in dry-season greenness and chlorophyll fluorescence for Amazon moist tropical forests during El Niño and La Niña (1 citations)
  • Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon (0 citations)

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

  • Ecology
  • Agriculture
  • Ecosystem

Yuanwei Qin focuses on Atmospheric sciences, Amazon rainforest, Column, Abundance and Rice growth. His Atmospheric sciences research is multidisciplinary, incorporating perspectives in Tropical forest, Dry season, Amazon basin and Remote sensing. His studies in Amazon rainforest integrate themes in fields like Biomass, Biodiversity, Deforestation and Carbon loss.

Yuanwei Qin integrates Column and Methane in his studies.

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

Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s

Jiyuan Liu;Wenhui Kuang;Zengxiang Zhang;Xinliang Xu.
Journal of Geographical Sciences (2014)

1320 Citations

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

Jinwei Dong;Xiangming Xiao;Xiangming Xiao;Michael A. Menarguez;Geli Zhang.
Remote Sensing of Environment (2016)

495 Citations

Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms

Jinwei Dong;Jinwei Dong;Xiangming Xiao;Xiangming Xiao;Xiangming Xiao;Weili Kou;Weili Kou;Yuanwei Qin.
Remote Sensing of Environment (2015)

261 Citations

A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

Yao Zhang;Xiangming Xiao;Xiangming Xiao;Xiaocui Wu;Sha Zhou.
Scientific Data (2017)

252 Citations

A mangrove forest map of China in 2015: analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform.

Bangqian Chen;Bangqian Chen;Xiangming Xiao;Xiangming Xiao;Xiangping Li;Lianghao Pan;Lianghao Pan.
Isprs Journal of Photogrammetry and Remote Sensing (2017)

245 Citations

Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data

Geli Zhang;Xiangming Xiao;Jinwei Dong;Weili Kou.
Isprs Journal of Photogrammetry and Remote Sensing (2015)

196 Citations

Consistency Between Sun-Induced Chlorophyll Fluorescence and Gross Primary Production of Vegetation in North America

Yao Zhang;Xiangming Xiao;Xiangming Xiao;Cui Jin;Jinwei Dong.
Remote Sensing of Environment (2016)

172 Citations

Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016.

Zhenhua Zou;Xiangming Xiao;Jinwei Dong;Yuanwei Qin.
Proceedings of the National Academy of Sciences of the United States of America (2018)

141 Citations

Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors

Yan Zhou;Jinwei Dong;Xiangming Xiao;Tong Xiao.
Water (2017)

135 Citations

Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images

Yuting Zhou;Xiangming Xiao;Yuanwei Qin;Jinwei Dong.
International Journal of Applied Earth Observation and Geoinformation (2016)

119 Citations

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