H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 31 Citations 4,422 210 World Ranking 5475 National Ranking 68

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Geometry
  • Algorithm

Ying He mainly investigates Solid modeling, Topology, Algorithm, Artificial intelligence and Polycube. His Solid modeling study combines topics in areas such as Visualization, Distance transform and Spline. As a part of the same scientific study, he usually deals with the Topology, concentrating on Curve fitting and frequently concerns with Gravitational singularity and Parametrization.

The Algorithm study combines topics in areas such as Geometric primitive, Solid geometry, Computer graphics and Geodesic. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Pattern recognition. Ying He interconnects Divide and conquer algorithms, Hexahedron and Bijection in the investigation of issues within Polycube.

His most cited work include:

  • Harmonic volumetric mapping for solid modeling applications (105 citations)
  • A Review of the Functional and Anatomical Default Mode Network in Schizophrenia. (101 citations)
  • Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels (79 citations)

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

Ying He mainly focuses on Artificial intelligence, Algorithm, Computer vision, Topology and Polygon mesh. Much of his study explores Artificial intelligence relationship to Pattern recognition. The concepts of his Algorithm study are interwoven with issues in Point cloud, Surface and Solid modeling.

His Solid modeling research is multidisciplinary, relying on both Polycube and Spline. Computer vision is closely attributed to Computer graphics in his work. His research investigates the connection between Polygon mesh and topics such as Geodesic that intersect with problems in Time complexity and Voronoi diagram.

He most often published in these fields:

  • Artificial intelligence (24.77%)
  • Algorithm (22.36%)
  • Computer vision (15.71%)

What were the highlights of his more recent work (between 2019-2021)?

  • Algorithm (22.36%)
  • Artificial intelligence (24.77%)
  • Point cloud (5.74%)

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

His primary areas of investigation include Algorithm, Artificial intelligence, Point cloud, Point and Polygon mesh. Ying He works in the field of Algorithm, namely Computation. His work carried out in the field of Artificial intelligence brings together such families of science as Distraction, Computer vision and Pattern recognition.

His Computer vision study integrates concerns from other disciplines, such as Grid and Projection. In his study, which falls under the umbrella issue of Pattern recognition, Topology, Net and Graph is strongly linked to Vertex. His studies in Polygon mesh integrate themes in fields like Smoothing, Vertex and Geodesic.

Between 2019 and 2021, his most popular works were:

  • Alteration of the gut microbiome in first-episode drug-naïve and chronic medicated schizophrenia correlate with regional brain volumes (8 citations)
  • Parallel and Scalable Heat Methods for Geodesic Distance Computation (8 citations)
  • On the Security Risks of the Blockchain (7 citations)

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

  • Artificial intelligence
  • Geometry
  • Algorithm

His main research concerns Algorithm, Polygon mesh, Point cloud, Geodesic and Point. His research integrates issues of Smoothing, Solver and Artificial intelligence in his study of Algorithm. The various areas that he examines in his Artificial intelligence study include Iterative method, Computation and Code.

His Polygon mesh research includes themes of Discrete mathematics, Time complexity and Vertex. He has included themes like Distance transform and Quadratic programming in his Geodesic study. His research on Point also deals with topics like

  • Matrix that intertwine with fields like Jacobian matrix and determinant, Surface, Feature vector and Tangent space,
  • Upsampling that connect with fields like Surface reconstruction, Approximation algorithm and Low-rank approximation,
  • Position, which have a strong connection to Noise.

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

Wireless Sensor Networks

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

379 Citations

Polycube splines

Hongyu Wang;Ying He;Xin Li;Xianfeng Gu.
Computer-aided Design (2008)

168 Citations

A Review of the Functional and Anatomical Default Mode Network in Schizophrenia.

Mao-Lin Hu;Mao-Lin Hu;Xiao-Fen Zong;Xiao-Fen Zong;J. John Mann;Jun-Jie Zheng.
Neuroscience Bulletin (2017)

155 Citations

Manifold splines

Xianfeng Gu;Ying He;Hong Qin.
solid and physical modeling (2005)

144 Citations

Harmonic volumetric mapping for solid modeling applications

Xin Li;Xiaohu Guo;Hongyu Wang;Ying He.
solid and physical modeling (2007)

141 Citations

Human behaviour as an aspect of cybersecurity assurance

Mark Evans;Leandros A. Maglaras;Ying He;Helge Janicke.
Security and Communication Networks (2016)

130 Citations

Social Internet of Vehicles for Smart Cities

Leandros Maglaras;Ali Hilal Al-Bayatti;Ying He;Isabel Wagner.
Journal of Sensor and Actuator Networks (2016)

122 Citations

Retrieval-Based Face Annotation by Weak Label Regularized Local Coordinate Coding

Dayong Wang;Steven C. H. Hoi;Ying He;Jianke Zhu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)

121 Citations

Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels

Yong-Jin Liu;Cheng-Chi Yu;Min-Jing Yu;Ying He.
computer vision and pattern recognition (2016)

119 Citations

A branch-estimation-based state estimation method for radial distribution systems

Youman Deng;Ying He;Boming Zhang.
IEEE Power & Energy Magazine (2002)

116 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 Ying He

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