H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 34 Citations 4,112 110 World Ranking 6398 National Ranking 610

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

Bisheng Yang spends much of his time researching Point cloud, Computer vision, Artificial intelligence, Lidar and Correctness. Bisheng Yang has researched Point cloud in several fields, including Spatial analysis, Remote sensing, Simulation, Mobile laser scanning and Flexibility. The various areas that Bisheng Yang examines in his Computer vision study include Point and Laser.

His work on Feature extraction, Robustness and Orientation as part of general Artificial intelligence study is frequently linked to Transformation matrix, therefore connecting diverse disciplines of science. His Lidar research includes elements of Feature, Sequent and Interpolation. His Correctness research is multidisciplinary, incorporating perspectives in Tree, Statistics, Plot and Benchmark.

His most cited work include:

  • Using mobile laser scanning data for automated extraction of road markings (159 citations)
  • Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds (155 citations)
  • Hierarchical extraction of urban objects from mobile laser scanning data (134 citations)

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

Bisheng Yang mostly deals with Point cloud, Artificial intelligence, Computer vision, Remote sensing and Laser scanning. His work carried out in the field of Point cloud brings together such families of science as Feature extraction, Tree, Algorithm, Lidar and Point. The study incorporates disciplines such as Data mining and Pattern recognition in addition to Artificial intelligence.

His Computer vision study combines topics from a wide range of disciplines, such as Terrain and Laser. His study looks at the relationship between Remote sensing and fields such as Extraction, as well as how they intersect with chemical problems. His Laser scanning research is multidisciplinary, relying on both Photogrammetry, Ground truth and Mobile mapping.

He most often published in these fields:

  • Point cloud (52.00%)
  • Artificial intelligence (44.00%)
  • Computer vision (32.80%)

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

  • Point cloud (52.00%)
  • Remote sensing (20.00%)
  • Artificial intelligence (44.00%)

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

His primary areas of study are Point cloud, Remote sensing, Artificial intelligence, Lidar and Computer vision. His Point cloud study incorporates themes from Tree, Point, GNSS applications and Laser scanning. In the subject of general Remote sensing, his work in Multispectral image is often linked to Forest inventory, thereby combining diverse domains of study.

His Artificial intelligence research is multidisciplinary, incorporating elements of Data mining and Pattern recognition. His research integrates issues of Orientation, Elevation, Ranging and Pose in his study of Lidar. When carried out as part of a general Computer vision research project, his work on Inertial measurement unit is frequently linked to work in Photogram, Multiple aggregation and Automation, therefore connecting diverse disciplines of study.

Between 2018 and 2021, his most popular works were:

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark (33 citations)
  • 3D Forest Mapping Using A Low-Cost UAV Laser Scanning System: Investigation and Comparison (21 citations)
  • Estimation of Forest Structural Attributes Using Spectral Indices and Point Clouds from UAS-Based Multispectral and RGB Imageries (16 citations)

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

  • Artificial intelligence
  • Computer vision
  • Algorithm

The scientist’s investigation covers issues in Point cloud, Remote sensing, Lidar, Artificial intelligence and Laser scanning. His research in Point cloud intersects with topics in Algorithm, Point and Mean-shift. His research in the fields of Multispectral image overlaps with other disciplines such as Power transmission and High voltage.

Many of his studies involve connections with topics such as Computer vision and Artificial intelligence. The Orientation, Pixel and Rigid transformation research he does as part of his general Computer vision study is frequently linked to other disciplines of science, such as Structure from motion, therefore creating a link between diverse domains of science. His Laser scanning research includes themes of Precision and recall, Visibility, Cut, Pairwise comparison and Iterative reconstruction.

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.

Top Publications

Using mobile laser scanning data for automated extraction of road markings

Haiyan Guan;Jonathan Li;Jonathan Li;Yongtao Yu;Cheng Wang.
Isprs Journal of Photogrammetry and Remote Sensing (2014)

216 Citations

Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds

Bisheng Yang;Lina Fang;Jonathan Li.
Isprs Journal of Photogrammetry and Remote Sensing (2013)

202 Citations

The design and implementation of SPIRIT: a spatially aware search engine for information retrieval on the Internet

Ross S. Purves;Paul Clough;Christopher B. Jones;Avi Arampatzis.
International Journal of Geographical Information Science (2007)

198 Citations

A shape-based segmentation method for mobile laser scanning point clouds

Bisheng Yang;Zhen Dong.
Isprs Journal of Photogrammetry and Remote Sensing (2013)

189 Citations

Hierarchical extraction of urban objects from mobile laser scanning data

Bisheng Yang;Zhen Dong;Gang Zhao;Wenxia Dai.
Isprs Journal of Photogrammetry and Remote Sensing (2015)

172 Citations

Automated Extraction of Road Markings from Mobile Lidar Point Clouds

Bisheng Yang;Lina Fang;Qingquan Li;Jonathan Li.
Photogrammetric Engineering and Remote Sensing (2012)

147 Citations

International benchmarking of terrestrial laser scanning approaches for forest inventories

Xinlian Liang;Juha Hyyppä;Harri Kaartinen;Harri Kaartinen;Matti Lehtomäki.
Isprs Journal of Photogrammetry and Remote Sensing (2018)

137 Citations

Efficient transmission of vector data over the Internet

Bisheng Yang;Ross Purves;Robert Weibel.
International Journal of Geographical Information Science (2007)

128 Citations

Automatic registration of UAV-borne sequent images and LiDAR data

Bisheng Yang;Chi Chen.
Isprs Journal of Photogrammetry and Remote Sensing (2015)

107 Citations

Automatic registration of large-scale urban scene point clouds based on semantic feature points

Bisheng Yang;Zhen Dong;Fuxun Liang;Yuan Liu.
Isprs Journal of Photogrammetry and Remote Sensing (2016)

104 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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