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 37 Citations 5,030 128 World Ranking 5054 National Ranking 352

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Machine learning
  • Climate change

His primary areas of investigation include Hydrology, Remote sensing, Physical geography, Eutrophication and Climate change. His research integrates issues of Lake ecosystem and Moderate-resolution imaging spectroradiometer in his study of Hydrology. Hongtao Duan conducts interdisciplinary study in the fields of Remote sensing and Chlorophyll a through his research.

His Physical geography research integrates issues from Hydrosphere, Data set and Wetland. His study in Eutrophication is interdisciplinary in nature, drawing from both Environmental chemistry, Phenology and Bellamya aeruginosa. His study looks at the relationship between Climate change and topics such as Climatology, which overlap with Global warming.

His most cited work include:

  • Two-decade reconstruction of algal blooms in China's Lake Taihu. (326 citations)
  • Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China (233 citations)
  • A half‐century of changes in China's lakes: Global warming or human influence? (179 citations)

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

Hongtao Duan mainly investigates Remote sensing, Eutrophication, Water quality, Hydrology and Chlorophyll a. His Remote sensing study combines topics in areas such as Atmospheric correction, Reflectivity and Moderate-resolution imaging spectroradiometer. His Eutrophication research is multidisciplinary, incorporating perspectives in Phytoplankton, Dissolved organic carbon, Atmospheric sciences and Phenology.

His Water quality research is multidisciplinary, incorporating elements of Wet season, Drainage basin, Algal bloom, Physical geography and Dry season. He has included themes like Bloom, Diel vertical migration, Oceanography, Wind speed and Algae in his Algal bloom study. His biological study spans a wide range of topics, including Soil science, Lake ecosystem, Colored dissolved organic matter and Precipitation.

He most often published in these fields:

  • Remote sensing (43.41%)
  • Eutrophication (38.76%)
  • Water quality (31.01%)

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

  • Eutrophication (38.76%)
  • Water quality (31.01%)
  • Atmospheric sciences (21.71%)

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

His primary scientific interests are in Eutrophication, Water quality, Atmospheric sciences, Algal bloom and Carbon dioxide. His Eutrophication research incorporates themes from Hydrology, Oceanography, Dissolved organic carbon and Carbon cycle. His Water quality study incorporates themes from Drainage basin, Atmospheric correction, Aquatic ecosystem and Physical geography.

His Physical geography course of study focuses on Dry season and Remote sensing. His work on Remote sensing as part of general Remote sensing research is frequently linked to Chlorophyll a and Range, thereby connecting diverse disciplines of science. His work deals with themes such as Diel vertical migration and Hyperspectral imaging, which intersect with Algal bloom.

Between 2019 and 2021, his most popular works were:

  • Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River (20 citations)
  • A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes (12 citations)
  • Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir (11 citations)

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

  • Ecology
  • Machine learning
  • Artificial intelligence

His scientific interests lie mostly in Drainage basin, Water quality, Spatial distribution, Atmospheric sciences and Eutrophication. He combines subjects such as Phytoplankton, Aquatic ecosystem and Secchi disk with his study of Drainage basin. He has researched Water quality in several fields, including Productivity, Physical geography, Vegetation and Ecosystem services.

His Spatial distribution research incorporates elements of Hyperspectral imaging, Remote sensing, Phycocyanin, Algal bloom and Diel vertical migration. Hyperspectral imaging is a subfield of Remote sensing that Hongtao Duan tackles. His research investigates the connection between Eutrophication and topics such as Carbon cycle that intersect with problems in Colored dissolved organic matter.

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

Two-decade reconstruction of algal blooms in China's Lake Taihu.

Hongtao Duan;Ronghua Ma;Xiaofeng Xu;Fanxiang Kong.
Environmental Science & Technology (2009)

492 Citations

Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China

Dianwei Liu;Dianwei Liu;Zongming Wang;Bai Zhang;Kaishan Song.
Agriculture, Ecosystems & Environment (2006)

352 Citations

A half‐century of changes in China's lakes: Global warming or human influence?

Ronghua Ma;Hongtao Duan;Chuanmin Hu;Xuezhi Feng.
Geophysical Research Letters (2010)

274 Citations

Changes of land use and of ecosystem service values in Sanjiang Plain, Northeast China.

Zongming Wang;Bai Zhang;Shuqing Zhang;Xiaoyan Li.
Environmental Monitoring and Assessment (2006)

224 Citations

Contributions of meteorology to the phenology of cyanobacterial blooms: Implications for future climate change

Min Zhang;Hongtao Duan;Xiaoli Shi;Yang Yu.
Water Research (2012)

210 Citations

Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral data.

Hongtao Duan;Yuanzhi Zhang;Bai Zhang;Kaishan Song.
Environmental Monitoring and Assessment (2007)

144 Citations

Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China

Xuejiao Hou;Lian Feng;Hongtao Duan;Xiaoling Chen.
Remote Sensing of Environment (2017)

138 Citations

Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China

Hongtao Duan;Ronghua Ma;Chuanmin Hu.
Remote Sensing of Environment (2012)

135 Citations

Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China

Juhua Luo;Xinchuan Li;Ronghua Ma;Fei Li.
Ecological Indicators (2016)

124 Citations

Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales

Zhigang Cao;Hongtao Duan;Lian Feng;Ronghua Ma.
Remote Sensing of Environment (2017)

107 Citations

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