H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 36 Citations 6,034 150 World Ranking 3131 National Ranking 1226

Overview

What is he best known for?

The fields of study he is best known for:

  • Geometry
  • Artificial intelligence
  • Mathematical analysis

His primary scientific interests are in Conformal map, Topology, Artificial intelligence, Surface and Computer vision. Conformal map is a subfield of Mathematical analysis that Xianfeng Gu tackles. His Mathematical analysis research incorporates themes from Surface, Curvature and Ricci flow.

He has researched Topology in several fields, including Singularity, Mesh parameterization, Differential form and Graphics. Many of his studies on Artificial intelligence apply to Polygon mesh as well. Xianfeng Gu interconnects Rectangle and Noise shaping in the investigation of issues within Surface.

His most cited work include:

  • Geometry images (713 citations)
  • Genus zero surface conformal mapping and its application to brain surface mapping (466 citations)
  • Global conformal surface parameterization (376 citations)

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

Xianfeng Gu focuses on Conformal map, Topology, Surface, Artificial intelligence and Mathematical analysis. His Conformal map study is focused on Geometry in general. The various areas that Xianfeng Gu examines in his Topology study include Parametrization, Shape analysis and Texture mapping.

His Surface research also works with subjects such as

  • Polygon mesh and related Computer graphics,
  • Genus that intertwine with fields like Zero. His work deals with themes such as Algorithm, Computer vision and Pattern recognition, which intersect with Artificial intelligence. He has included themes like Surface, Yamabe flow, Ricci flow and Gaussian curvature in his Mathematical analysis study.

He most often published in these fields:

  • Conformal map (37.93%)
  • Topology (30.34%)
  • Surface (27.24%)

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

  • Conformal map (37.93%)
  • Algorithm (16.21%)
  • Surface (27.24%)

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

His main research concerns Conformal map, Algorithm, Surface, Artificial intelligence and Polygon mesh. The concepts of his Conformal map study are interwoven with issues in Distortion, Texture mapping, Graphics, Computation and Ricci flow. His studies deal with areas such as Quadrilateral, Divisor and Holomorphic function, Parallelizable manifold, Topology as well as Surface.

His study ties his expertise on Planar together with the subject of Topology. His research in Artificial intelligence intersects with topics in Point, Computer vision and Pattern recognition. His Polygon mesh research is multidisciplinary, incorporating elements of Ruppert's algorithm, Computer graphics, Curvature and Parameterized complexity.

Between 2016 and 2021, his most popular works were:

  • Spherical Parameterization Balancing Angle and Area Distortions (21 citations)
  • Wireless Sensor Networks (20 citations)
  • A Geometric Understanding of Deep Learning (19 citations)

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

  • Geometry
  • Artificial intelligence
  • Mathematical analysis

The scientist’s investigation covers issues in Artificial intelligence, Algorithm, Ricci flow, Mode and Autoencoder. His biological study spans a wide range of topics, including Point, Diffeomorphism and Computer vision. In his work, Surface is strongly intertwined with Complex geometry, which is a subfield of Computer vision.

In his research on the topic of Algorithm, Robustness, Polycube, Surface and Polygon mesh is strongly related with Computer graphics. His work deals with themes such as Conformal map, Computational geometry and Metric, which intersect with Ricci flow. The Conformal map study combines topics in areas such as Mesh generation and Mesh parameterization.

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

Geometry images

Xianfeng Gu;Steven J. Gortler;Hugues Hoppe.
international conference on computer graphics and interactive techniques (2002)

1111 Citations

Genus zero surface conformal mapping and its application to brain surface mapping

Xianfeng Gu;Yalin Wang;T.F. Chan;P.M. Thompson.
IEEE Transactions on Medical Imaging (2004)

607 Citations

Global conformal surface parameterization

Xianfeng Gu;Shing-Tung Yau.
symposium on geometry processing (2003)

522 Citations

Wireless Sensor Networks

Miao Jin;Xianfeng Gu;Ying He;Yalin Wang.
(2018)

379 Citations

Fundamentals of spherical parameterization for 3D meshes

Craig Gotsman;Xianfeng Gu;Alla Sheffer.
international conference on computer graphics and interactive techniques (2003)

377 Citations

Silhouette clipping

Pedro V. Sander;Xianfeng Gu;Steven J. Gortler;Hugues Hoppe.
international conference on computer graphics and interactive techniques (2000)

303 Citations

Discrete Surface Ricci Flow

M. Jin;J. Kim;F. Luo;X. Gu.
IEEE Transactions on Visualization and Computer Graphics (2008)

265 Citations

Computing conformal structures of surfaces

Xianfeng Gu;Shing-Tung Yau.
Communications in information and systems (2002)

212 Citations

Dense non-rigid surface registration using high-order graph matching

Yun Zeng;Chaohui Wang;Yang Wang;Xianfeng Gu.
computer vision and pattern recognition (2010)

198 Citations

Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching

Sen Wang;Yang Wang;Miao Jin;X.D. Gu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

179 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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Top Scientists Citing Xianfeng Gu

Paul M. Thompson

Paul M. Thompson

University of Southern California

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Yalin Wang

Yalin Wang

Arizona State University

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xin li

xin li

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Bruno Levy

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French Institute for Research in Computer Science and Automation - INRIA

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Google (United States)

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Mathieu Desbrun

Mathieu Desbrun

California Institute of Technology

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Denis Zorin

Denis Zorin

New York University

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Hong Qin

Hong Qin

Stony Brook University

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Yaron Lipman

Facebook (United States)

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Peter Schröder

Peter Schröder

California Institute of Technology

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Michael M. Bronstein

Michael M. Bronstein

Imperial College London

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Hao Zhang

Simon Fraser University

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