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
Engineering and Technology D-index 30 Citations 4,363 57 World Ranking 6460 National Ranking 2250

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Geometry
  • Mathematical analysis

Topology, Algorithm, Polygon mesh, Computation and Computer graphics are his primary areas of study. His Topology study combines topics from a wide range of disciplines, such as Hexahedron, Surface, Mesh parameterization, Variational method and Image-based meshing. His Algorithm study combines topics in areas such as Point cloud, Ellipse, Feature, Rotation and Voxel.

His study focuses on the intersection of Polygon mesh and fields such as Geometric modeling with connections in the field of Conical surface, Volume mesh, Developable surface, Principal curvature and Computational geometry. The various areas that he examines in his Computation study include Voronoi diagram, Centroidal Voronoi tessellation, Mean curvature and Mathematical optimization. The study incorporates disciplines such as Function and Visualization, Data visualization in addition to Computer graphics.

His most cited work include:

  • O-CNN: octree-based convolutional neural networks for 3D shape analysis (503 citations)
  • Geometric modeling with conical meshes and developable surfaces (307 citations)
  • Fitting B-spline curves to point clouds by curvature-based squared distance minimization (265 citations)

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

Yang Liu spends much of his time researching Artificial intelligence, Algorithm, Polygon mesh, Topology and Surface. His Artificial intelligence study integrates concerns from other disciplines, such as Natural language processing, Computer vision and Pattern recognition. His studies examine the connections between Algorithm and genetics, as well as such issues in Mathematical optimization, with regards to Curve fitting, Applied mathematics and Computer graphics.

His study in Polygon mesh is interdisciplinary in nature, drawing from both Parametrization, Hexahedron and Volume mesh. As a part of the same scientific family, Yang Liu mostly works in the field of Topology, focusing on Centroidal Voronoi tessellation and, on occasion, Generalization. As part of the same scientific family, Yang Liu usually focuses on Surface, concentrating on Voronoi diagram and intersecting with Computation and Speedup.

He most often published in these fields:

  • Artificial intelligence (24.56%)
  • Algorithm (19.30%)
  • Polygon mesh (19.30%)

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

  • Artificial intelligence (24.56%)
  • Octree (8.77%)
  • Convolutional neural network (7.89%)

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

Yang Liu focuses on Artificial intelligence, Octree, Convolutional neural network, Algorithm and Data mining. Much of his study explores Artificial intelligence relationship to Pattern recognition. His Octree research is within the category of Computer vision.

His work carried out in the field of Algorithm brings together such families of science as Parametrization, Polygon mesh and Surface. His Polygon mesh research is multidisciplinary, incorporating elements of Feature and Global optimization. Yang Liu has included themes like Artificial neural network and Point in his Surface study.

Between 2018 and 2021, his most popular works were:

  • Learning adaptive hierarchical cuboid abstractions of 3D shape collections (22 citations)
  • OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples. (8 citations)
  • Overview of the Ninth Dialog System Technology Challenge: DSTC9 (7 citations)

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

  • Artificial intelligence
  • Geometry
  • Mathematical analysis

Yang Liu mostly deals with Dialog box, Data mining, Polygon mesh, Artificial intelligence and Convolutional neural network. His study in the fields of Dialog system under the domain of Dialog box overlaps with other disciplines such as Open domain and Task. His Visualization study in the realm of Data mining interacts with subjects such as Scale and Key.

His work deals with themes such as Algorithm, Convolution, Surface and Kernel, which intersect with Polygon mesh. His work on Shape analysis, Unsupervised learning and Representation as part of his general Artificial intelligence study is frequently connected to Class, thereby bridging the divide between different branches of science. Yang Liu has researched Convolutional neural network in several fields, including Point cloud, Segmentation and Tangent.

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

O-CNN: octree-based convolutional neural networks for 3D shape analysis

Peng-Shuai Wang;Yang Liu;Yu-Xiao Guo;Chun-Yu Sun.
ACM Transactions on Graphics (2017)

540 Citations

On centroidal voronoi tessellation—energy smoothness and fast computation

Yang Liu;Wenping Wang;Bruno Lévy;Feng Sun.
ACM Transactions on Graphics (2009)

501 Citations

Geometric modeling with conical meshes and developable surfaces

Yang Liu;Helmut Pottmann;Johannes Wallner;Yong-Liang Yang.
international conference on computer graphics and interactive techniques (2006)

427 Citations

Fitting B-spline curves to point clouds by curvature-based squared distance minimization

Wenping Wang;Helmut Pottmann;Yang Liu.
ACM Transactions on Graphics (2006)

400 Citations

Lp Centroidal Voronoi Tessellation and its applications

Bruno Lévy;Yang Liu.
international conference on computer graphics and interactive techniques (2010)

223 Citations

Geometry of multi-layer freeform structures for architecture

Helmut Pottmann;Yang Liu;Johannes Wallner;Alexander Bobenko.
international conference on computer graphics and interactive techniques (2007)

218 Citations

Computation of rotation minimizing frames

Wenping Wang;Bert Jüttler;Dayue Zheng;Yang Liu.
ACM Transactions on Graphics (2008)

217 Citations

StoryFlow: Tracking the Evolution of Stories

Shixia Liu;Yingcai Wu;Enxun Wei;Mengchen Liu.
IEEE Transactions on Visualization and Computer Graphics (2013)

193 Citations

Isotropic remeshing with fast and exact computation of Restricted Voronoi Diagram

Dong-Ming Yan;Bruno Lévy;Yang Liu;Feng Sun.
symposium on geometry processing (2009)

188 Citations

Motion-guided mechanical toy modeling

Lifeng Zhu;Weiwei Xu;John Snyder;Yang Liu.
international conference on computer graphics and interactive techniques (2012)

147 Citations

Best Scientists Citing Yang Liu

Helmut Pottmann

Helmut Pottmann

King Abdullah University of Science and Technology

Publications: 75

Ligang Liu

Ligang Liu

University of Science and Technology of China

Publications: 56

Wenping Wang

Wenping Wang

University of Hong Kong

Publications: 54

Niloy J. Mitra

Niloy J. Mitra

University College London

Publications: 40

Bruno Levy

Bruno Levy

French Institute for Research in Computer Science and Automation - INRIA

Publications: 37

Johannes Wallner

Johannes Wallner

Graz University of Technology

Publications: 35

Hao Zhang

Hao Zhang

Simon Fraser University

Publications: 32

Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

Publications: 30

Peter Wonka

Peter Wonka

King Abdullah University of Science and Technology

Publications: 30

Daniele Panozzo

Daniele Panozzo

New York University

Publications: 29

Bert Jüttler

Bert Jüttler

Johannes Kepler University of Linz

Publications: 28

Alla Sheffer

Alla Sheffer

University of British Columbia

Publications: 27

Charlie C. L. Wang

Charlie C. L. Wang

University of Manchester

Publications: 26

Leif Kobbelt

Leif Kobbelt

RWTH Aachen University

Publications: 24

Hao Su

Hao Su

University of California, San Diego

Publications: 23

Evangelos Kalogerakis

Evangelos Kalogerakis

University of Massachusetts Amherst

Publications: 22

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

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