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 38 Citations 6,178 70 World Ranking 3652 National Ranking 57

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Ecology

His scientific interests lie mostly in Remote sensing, Laser scanning, Tree, Point cloud and Canopy. His Remote sensing research incorporates themes from Diameter at breast height and Tree measurement. His Laser scanning research is multidisciplinary, incorporating elements of Change detection and Forest inventory.

Xiaowei Yu has researched Forest inventory in several fields, including Photogrammetry and Feature extraction. The various areas that Xiaowei Yu examines in his Tree study include Correctness and Spatial analysis. His Point cloud research includes elements of Terrestrial laser scanning, Assisted GPS and Allometry.

His most cited work include:

  • Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests (459 citations)
  • An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (302 citations)
  • Automatic detection of harvested trees and determination of forest growth using airborne laser scanning (264 citations)

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

Xiaowei Yu focuses on Remote sensing, Laser scanning, Forest inventory, Point cloud and Tree. His Remote sensing research includes themes of Diameter at breast height and Taiga. His studies deal with areas such as Change detection, Canopy, Terrain and Volume as well as Laser scanning.

His work deals with themes such as Image resolution, Basal area, Mean squared error, Statistics and Random forest, which intersect with Forest inventory. His biological study spans a wide range of topics, including Terrestrial laser scanning, Biomass, Crown and Plot. His Tree research is multidisciplinary, relying on both Segmentation, Spatial analysis and Urban forest.

He most often published in these fields:

  • Remote sensing (73.81%)
  • Laser scanning (53.57%)
  • Forest inventory (46.43%)

What were the highlights of his more recent work (between 2016-2021)?

  • Remote sensing (73.81%)
  • Point cloud (41.67%)
  • Forest inventory (46.43%)

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

His primary areas of study are Remote sensing, Point cloud, Forest inventory, Tree and Laser scanning. The concepts of his Remote sensing study are interwoven with issues in Random forest and Basal area. His Point cloud study combines topics in areas such as Terrestrial laser scanning, Photogrammetry, Biomass and Aboveground biomass.

Xiaowei Yu combines subjects such as Image resolution, Diameter at breast height, Data collection and Mean squared error with his study of Forest inventory. His Tree research is multidisciplinary, incorporating elements of Taiga and Plot. Xiaowei Yu usually deals with Laser scanning and limits it to topics linked to Canopy and Stratification and Urban forest.

Between 2016 and 2021, his most popular works were:

  • International benchmarking of terrestrial laser scanning approaches for forest inventories (96 citations)
  • Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees (59 citations)
  • Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning (56 citations)

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

Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests

J. Hyyppä;H. Hyyppä;D. Leckie;F. Gougeon.
International Journal of Remote Sensing (2008)

633 Citations

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta.
Remote Sensing (2012)

430 Citations

Automatic detection of harvested trees and determination of forest growth using airborne laser scanning

Xiaowei Yu;Juha Hyyppä;Harri Kaartinen;Matti Maltamo.
Remote Sensing of Environment (2004)

360 Citations

Predicting individual tree attributes from airborne laser point clouds based on the random forests technique

Xiaowei Yu;Juha Hyyppä;Mikko Vastaranta;Markus Holopainen.
Isprs Journal of Photogrammetry and Remote Sensing (2011)

325 Citations

A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements

Anttoni Jaakkola;Juha Hyyppä;Antero Kukko;Xiaowei Yu.
Isprs Journal of Photogrammetry and Remote Sensing (2010)

313 Citations

The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve

M Maltamo;K Mustonen;J Hyyppä;J Pitkänen.
Canadian Journal of Forest Research (2004)

263 Citations

Algorithms and methods of airborne laser-scanning for forest measurements

Juha Hyyppä;Hannu Hyyppä;Paula Litkey;Xiaowei Yu.
(2004)

230 Citations

Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data

M. Maltamo;P. Packalén;X. Yu;K. Eerikäinen.
Forest Ecology and Management (2005)

223 Citations

Individual tree biomass estimation using terrestrial laser scanning

Ville Kankare;Markus Holopainen;Mikko Vastaranta;Eetu Puttonen.
Isprs Journal of Photogrammetry and Remote Sensing (2013)

219 Citations

Automated Stem Curve Measurement Using Terrestrial Laser Scanning

Xinlian Liang;Ville Kankare;Xiaowei Yu;Juha Hyyppa.
IEEE Transactions on Geoscience and Remote Sensing (2014)

170 Citations

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