D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 33 Citations 4,810 53 World Ranking 6275 National Ranking 953

Overview

What is he best known for?

The fields of study he is best known for:

  • Topology
  • Mathematical optimization
  • Algorithm

Weisheng Zhang mostly deals with Topology optimization, Mathematical optimization, Computational topology, Topology and Topology. He applies his multidisciplinary studies on Topology optimization and Comparison of topologies in his research. Weisheng Zhang integrates several fields in his works, including Mathematical optimization and Particular point topology.

His Computational topology study combines topics from a wide range of disciplines, such as Geometric topology, Pixel and Point. His Topology research is multidisciplinary, relying on both Homogenization, CAD and Design domain. His research in Topology intersects with topics in Fe model, Finite element method, Topology optimization problem and Void.

His most cited work include:

  • Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework (395 citations)
  • Topology optimization based on moving deformable components: A new computational framework. (306 citations)
  • A new topology optimization approach based on Moving Morphable Components (MMC) and the ersatz material model (210 citations)

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

His primary scientific interests are in Topology optimization, Mathematical optimization, Topology, Algorithm and Finite element method. His Topology optimization research incorporates elements of Topology, Computational topology, Boundary and Void. The Computational topology study combines topics in areas such as Geometric topology and Structural complexity.

The Optimization problem research he does as part of his general Mathematical optimization study is frequently linked to other disciplines of science, such as Level set, therefore creating a link between diverse domains of science. In the field of Algorithm, his study on Global optimization overlaps with subjects such as Line. His studies deal with areas such as Cantilever and Mathematical analysis as well as Finite element method.

He most often published in these fields:

  • Topology optimization (86.54%)
  • Mathematical optimization (46.15%)
  • Topology (21.15%)

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

  • Topology optimization (86.54%)
  • Small number (15.38%)
  • Void (19.23%)

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

His primary areas of study are Topology optimization, Small number, Void, Trimming and Algorithm. The study of Topology optimization is intertwined with the study of Boundary in a number of ways. His Boundary research incorporates elements of Discretization, Mathematical analysis, Finite element method, Computational science and Homogenization.

Other disciplines of study, such as Isogeometric analysis, Cad system, Structural geometry and Planar, are mixed together with his Small number studies.

Between 2019 and 2021, his most popular works were:

  • Explicit topology optimization using IGA-based moving morphable void (MMV) approach (31 citations)
  • Explicit topology optimization using IGA-based moving morphable void (MMV) approach (31 citations)
  • Stress-related topology optimization of shell structures using IGA/TSA-based Moving Morphable Void (MMV) approach (10 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

Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework

Xu Guo;Weisheng Zhang;Wenliang Zhong.
Journal of Applied Mechanics (2014)

645 Citations

Topology optimization based on moving deformable components: A new computational framework.

Xu Guo;Weisheng Zhang;Wenliang Zhong.
arXiv: Computational Engineering, Finance, and Science (2014)

541 Citations

A new topology optimization approach based on Moving Morphable Components (MMC) and the ersatz material model

Weisheng Zhang;Jie Yuan;Jian Zhang;Xu Guo.
Structural and Multidisciplinary Optimization (2016)

351 Citations

Explicit structural topology optimization based on moving morphable components (MMC) with curved skeletons

Xu Guo;Weisheng Zhang;Jian Zhang;Jie Yuan.
Computer Methods in Applied Mechanics and Engineering (2016)

228 Citations

Self-supporting structure design in additive manufacturing through explicit topology optimization

Xu Guo;Jianhua Zhou;Weisheng Zhang;Zongliang Du.
Computer Methods in Applied Mechanics and Engineering (2017)

201 Citations

Explicit feature control in structural topology optimization via level set method

Xu Guo;Weisheng Zhang;Wenliang Zhong.
Computer Methods in Applied Mechanics and Engineering (2014)

168 Citations

Stress-related Topology Optimization via Level Set Approach

Xu Guo;Wei Sheng Zhang;Michael Yu Wang;Peng Wei.
Computer Methods in Applied Mechanics and Engineering (2011)

166 Citations

Structural Topology Optimization Through Explicit Boundary Evolution

Weisheng Zhang;Wanying Yang;Jianhua Zhou;Dong Li.
Journal of Applied Mechanics (2017)

154 Citations

Explicit three dimensional topology optimization via Moving Morphable Void (MMV) approach

Weisheng Zhang;Jishun Chen;Xuefeng Zhu;Jianhua Zhou.
Computer Methods in Applied Mechanics and Engineering (2017)

150 Citations

An explicit length scale control approach in SIMP-based topology optimization

Weisheng Zhang;Wenliang Zhong;Xu Guo.
Computer Methods in Applied Mechanics and Engineering (2014)

137 Citations

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