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 76 Citations 34,598 386 World Ranking 420 National Ranking 219

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Meteorology
  • Artificial intelligence

Yang Hong spends much of his time researching Meteorology, Precipitation, Climatology, Rain gauge and Structural basin. His Meteorology study focuses on Global Precipitation Measurement in particular. Yang Hong frequently studies issues relating to Storm and Precipitation.

His Climatology research is multidisciplinary, incorporating perspectives in Latitude, Drainage basin, Mean squared error, Evapotranspiration and Plateau. His Rain gauge study integrates concerns from other disciplines, such as Tropical cyclone, Terrain, Diurnal cycle and False positive rate. His PERSIANN research includes elements of Advanced Microwave Sounding Unit, Pixel, Cluster analysis, Madden–Julian oscillation and Calibration.

His most cited work include:

  • The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales (4704 citations)
  • The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales (4704 citations)
  • The status of the tropical rainfall measuring mission (TRMM) after two years in orbit (998 citations)

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

His scientific interests lie mostly in Precipitation, Meteorology, Climatology, Remote sensing and Flood myth. Yang Hong interconnects Terrain, NEXRAD and Scale in the investigation of issues within Precipitation. Meteorology is represented through his Quantitative precipitation estimation and Rain gauge research.

He works mostly in the field of Climatology, limiting it down to topics relating to Climate change and, in certain cases, Surface water. His Remote sensing study combines topics in areas such as Pixel, Ground-penetrating radar and Weather radar. His work in Flood myth tackles topics such as Natural hazard which are related to areas like Flash flood.

He most often published in these fields:

  • Precipitation (46.29%)
  • Meteorology (39.24%)
  • Climatology (32.00%)

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

  • Precipitation (46.29%)
  • Climatology (32.00%)
  • Remote sensing (27.81%)

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

His primary areas of study are Precipitation, Climatology, Remote sensing, Plateau and Climate change. Meteorology covers Yang Hong research in Precipitation. His Climatology research includes themes of Flood myth and Surface water.

He has included themes like Mean squared error, Streamflow and Cumulative distribution function in his Remote sensing study. His biological study spans a wide range of topics, including Atmosphere, General regression neural network, Physical geography, Water content and Hydrology. Yang Hong combines subjects such as Rain gauge, Bayesian probability and Stage with his study of Terrain.

Between 2018 and 2021, his most popular works were:

  • Inundation Extent Mapping by Synthetic Aperture Radar: A Review (43 citations)
  • Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets (38 citations)
  • A Google Earth Engine-enabled software for efficiently generating high-quality user-ready Landsat mosaic images (16 citations)

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

  • Statistics
  • Artificial intelligence
  • Meteorology

His primary areas of investigation include Climatology, Remote sensing, Precipitation, Climate change and Plateau. His Climatology research integrates issues from Physical water scarcity, Flood myth, Satellite data and Surface water. His Remote sensing research is multidisciplinary, incorporating elements of Streamflow and Series.

Precipitation is a primary field of his research addressed under Meteorology. His Climate change research incorporates themes from Spatial ecology and Forcing. His study looks at the intersection of Plateau and topics like Water content with Soil science.

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

The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales

George J. Huffman;David T. Bolvin;Eric J. Nelkin;David B. Wolff.
Journal of Hydrometeorology (2007)

6118 Citations

The status of the tropical rainfall measuring mission (TRMM) after two years in orbit

C. Kummerow;J. Simpson;O. Thiele;W. Barnes.
Journal of Applied Meteorology (2000)

1390 Citations

The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors

Christian Kummerow;Y. Hong;W. S. Olson;S. Yang.
Journal of Applied Meteorology (2001)

903 Citations

Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System

Yang Hong;Kuo-Lin Hsu;Soroosh Sorooshian;Xiaogang Gao.
Journal of Applied Meteorology (2004)

627 Citations

Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization

Jin S. Deng;K e Wang;Yang Hong;Jia G. Qi.
Landscape and Urban Planning (2009)

597 Citations

Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and Its Utility in Hydrologic Prediction in the La Plata Basin

Fengge Su;Yang Hong;Dennis P. Lettenmaier.
Journal of Hydrometeorology (2008)

535 Citations

Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales

Guoqiang Tang;Yingzhao Ma;Di Long;Lingzhi Zhong.
Journal of Hydrology (2016)

310 Citations

A global landslide catalog for hazard applications: method, results, and limitations

Dalia Bach Kirschbaum;Robert Adler;Robert Adler;Yang Hong;Stephanie Hill.
Natural Hazards (2010)

260 Citations

Satellite Remote Sensing and Hydrologic Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins

S I Khan;Yang Hong;J Wang;K K Yilmaz.
IEEE Transactions on Geoscience and Remote Sensing (2011)

254 Citations

Hydrologic evaluation of Multisatellite Precipitation Analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China

Bin Yong;Bin Yong;Li-Liang Ren;Yang Hong;Jia-Hu Wang.
Water Resources Research (2010)

241 Citations

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