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 51 Citations 12,150 220 World Ranking 2297 National Ranking 1012

Overview

What is he best known for?

The fields of study he is best known for:

  • Optics
  • Quantum mechanics
  • Meteorology

Yongxiang Hu focuses on Environmental science, Lidar, Remote sensing, Aerosol and Atmospheric sciences. Meteorology, Moderate-resolution imaging spectroradiometer, Cirrus, International Satellite Cloud Climatology Project and Albedo are fields of study that intersect with his Environmental science study. His Lidar research incorporates elements of Stratosphere, Troposphere and Backscatter.

His Remote sensing research is multidisciplinary, incorporating perspectives in Scattering and Ice cloud. In his study, Image resolution and Feature is inextricably linked to Atmosphere, which falls within the broad field of Aerosol. His research integrates issues of Liquid water path, Radiative transfer, Longwave and Liquid water content in his study of Atmospheric sciences.

His most cited work include:

  • Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms (1277 citations)
  • The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm (592 citations)
  • An Accurate Parameterization of the Radiative Properties of Water Clouds Suitable for Use in Climate Models (349 citations)

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

Yongxiang Hu mainly investigates Remote sensing, Environmental science, Lidar, Radiative transfer and Meteorology. Yongxiang Hu interconnects Scattering, Ocean color and Ice cloud in the investigation of issues within Remote sensing. His work on Depolarization ratio as part of general Lidar research is frequently linked to Pathfinder, thereby connecting diverse disciplines of science.

In his work, Cloud fraction is strongly intertwined with Cloud top, which is a subfield of Radiative transfer. His Meteorology study integrates concerns from other disciplines, such as Instrumentation and Cloud computing. His Cirrus research integrates issues from International Satellite Cloud Climatology Project and Cloud physics.

He most often published in these fields:

  • Remote sensing (56.88%)
  • Environmental science (50.00%)
  • Lidar (43.58%)

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

  • Environmental science (50.00%)
  • Remote sensing (56.88%)
  • Lidar (43.58%)

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

Environmental science, Remote sensing, Lidar, Aerosol and Ocean color are his primary areas of study. Yongxiang Hu has researched Remote sensing in several fields, including Optical depth, Degree of polarization, Linear polarization, Radiative transfer and Cloud computing. His study in Lidar is interdisciplinary in nature, drawing from both Multi channel, Sea ice, Polarization sensitive and Backscatter.

His study in the fields of Depolarization ratio under the domain of Aerosol overlaps with other disciplines such as Pathfinder and Inverse. His research in Ocean color intersects with topics in Atmospheric correction, Hyperspectral imaging and Polarimeter. The concepts of his Meteorology study are interwoven with issues in Instrumentation and Extreme weather.

Between 2018 and 2021, his most popular works were:

  • The North Atlantic Aerosol and Marine Ecosystem Study (NAAMES): Science Motive and Mission Overview (45 citations)
  • CALIPSO lidar calibration at 1064 nm: version 4 algorithm (23 citations)
  • Estimations of Global Shortwave Direct Aerosol Radiative Effects Above Opaque Water Clouds Using a Combination of A-Train Satellite Sensors (19 citations)

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

  • Quantum mechanics
  • Optics
  • Meteorology

Yongxiang Hu spends much of his time researching Lidar, Environmental science, Remote sensing, Aerosol and Oceanography. His Lidar research incorporates themes from Climatology, Albedo, Sea ice concentration, Backscatter and Radiative transfer. His studies deal with areas such as Cirrus and Calibration, Radiometric calibration as well as Backscatter.

When carried out as part of a general Radiative transfer research project, his work on Ice cloud is frequently linked to work in Viewing angle, therefore connecting diverse disciplines of study. His Remote sensing study combines topics from a wide range of disciplines, such as Ocean color and Propagation of uncertainty. His work carried out in the field of Aerosol brings together such families of science as Atmospheric sciences and Opacity.

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

Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms

David M. Winker;Mark A. Vaughan;Ali Omar;Yongxiang Hu.
Journal of Atmospheric and Oceanic Technology (2009)

1856 Citations

The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm

Ali H. Omar;David M. Winker;Mark A. Vaughan;Yongxiang Hu.
Journal of Atmospheric and Oceanic Technology (2009)

882 Citations

An Accurate Parameterization of the Radiative Properties of Water Clouds Suitable for Use in Climate Models

Y. X. Hu;K. Stamnes.
Journal of Climate (1993)

529 Citations

State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill

Ira Leifer;William J. Lehr;Debra Simecek-Beatty;Eliza Bradley.
Remote Sensing of Environment (2012)

461 Citations

Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS: 1. Data and models

Bryan A. Baum;David P. Kratz;Ping Yang;S. C. Ou.
Journal of Geophysical Research (2000)

390 Citations

Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products

Mark A. Vaughan;Stuart A. Young;David M. Winker;Kathleen A. Powell.
Remote Sensing (2004)

390 Citations

Summer dust aerosols detected from CALIPSO over the Tibetan Plateau

Jianping Huang;Patrick Minnis;Yuhong Yi;Qiang Tang.
Geophysical Research Letters (2007)

348 Citations

Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models

Bryan A. Baum;Ping Yang;Andrew J. Heymsfield;Steven Platnick.
Journal of Applied Meteorology (2005)

327 Citations

Satellite-Based Assessment of Possible Dust Aerosols Semi-Direct Effect on Cloud Water Path over East Asia

Jianping Huang;Bing Lin;Patrick Minnis;Tianhe Wang.
Geophysical Research Letters (2006)

293 Citations

CALIPSO/CALIOP Cloud Phase Discrimination Algorithm

Yongxiang Hu;David Winker;Mark Vaughan;Bing Lin.
Journal of Atmospheric and Oceanic Technology (2009)

293 Citations

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