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
Mechanical and Aerospace Engineering D-index 66 Citations 13,516 420 World Ranking 256 National Ranking 136
Materials Science D-index 57 Citations 10,245 350 World Ranking 5152 National Ranking 1455

Overview

What is he best known for?

The fields of study he is best known for:

  • Composite material
  • Mechanical engineering
  • Artificial intelligence

His scientific interests lie mostly in Sheet metal, Structural engineering, Forming processes, Finite element method and Formability. The subject of his Sheet metal research is within the realm of Mechanical engineering. Jian Cao has researched Structural engineering in several fields, including Fixture, Plain weave and Deformation.

His Forming processes research includes elements of Mathematical optimization and Process design, Process. His research in Finite element method intersects with topics in Process control, Material properties, Computer simulation and Nonlinear system. He is doing genetic studies as part of his Metallurgy and Composite material and Formability investigations.

His most cited work include:

  • Characterization of mechanical behavior of woven fabrics: Experimental methods and benchmark results (415 citations)
  • A continuum mechanics-based non-orthogonal constitutive model for woven composite fabrics (244 citations)
  • A non-orthogonal constitutive model for characterizing woven composites (140 citations)

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

Jian Cao mainly focuses on Composite material, Structural engineering, Sheet metal, Mechanical engineering and Finite element method. The concepts of his Composite material study are interwoven with issues in Metallurgy and Constitutive equation. Jian Cao combines subjects such as Stamping, Formability, Stress and Blank with his study of Structural engineering.

His Incremental sheet forming study, which is part of a larger body of work in Formability, is frequently linked to DSIF, bridging the gap between disciplines. Sheet metal is closely attributed to Forming processes in his work. His Finite element method study combines topics in areas such as Numerical analysis and Computer simulation.

He most often published in these fields:

  • Composite material (27.65%)
  • Structural engineering (23.89%)
  • Sheet metal (19.47%)

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

  • Composite material (27.65%)
  • Deposition (3.54%)
  • Laser (5.97%)

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

Jian Cao mostly deals with Composite material, Deposition, Laser, Machining and Mechanical engineering. When carried out as part of a general Composite material research project, his work on Porosity, Flow stress and Material properties is frequently linked to work in Current density and Scale model, therefore connecting diverse disciplines of study. His work in the fields of Mechanical engineering, such as Incremental sheet forming, intersects with other areas such as Range.

His research in 3D printing tackles topics such as Decision tree which are related to areas like Finite element method. His work in Tensile testing tackles topics such as Hardening which are related to areas like Forming processes. The Forming processes study which covers Coating that intersects with Optics.

Between 2018 and 2021, his most popular works were:

  • Deep learning predicts path-dependent plasticity. (48 citations)
  • Experimentally validated predictions of thermal history and microhardness in laser-deposited Inconel 718 on carbon steel (32 citations)
  • In-situ high-speed X-ray imaging of piezo-driven directed energy deposition additive manufacturing. (31 citations)

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

  • Composite material
  • Mechanical engineering
  • Electrical engineering

Jian Cao focuses on Composite material, Mechanical engineering, Machining, Microstructure and Deposition. His studies in Composite material integrate themes in fields like Structural engineering, Laser and Constitutive equation. His research in Mechanical engineering intersects with topics in Parametrization, Feature, UV mapping and Formability.

The various areas that he examines in his Machining study include Wetting, Coating and Process engineering. His Deposition research is multidisciplinary, relying on both Forging, Selective laser melting, Hot working, Deformation and Substrate. His Incremental sheet forming study integrates concerns from other disciplines, such as Compensation and Rigid body.

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

Characterization of mechanical behavior of woven fabrics: Experimental methods and benchmark results

J Cao;R Akkerman;P Boisse;J Chen.
Composites Part A-applied Science and Manufacturing (2008)

658 Citations

A continuum mechanics-based non-orthogonal constitutive model for woven composite fabrics

X.Q. Peng;J. Cao.
Composites Part A-applied Science and Manufacturing (2005)

396 Citations

Testing and modelling of material behaviour and formability in sheet metal forming

S. Bruschi;T. Altan;D. Banabic;P.F. Bariani.
Cirp Annals-manufacturing Technology (2014)

245 Citations

A non-orthogonal constitutive model for characterizing woven composites

Pu Xue;Xiongqi Peng;Jian Cao.
Composites Part A-applied Science and Manufacturing (2003)

221 Citations

Mechanics of fracture in single point incremental forming

Rajiv Malhotra;Liang Xue;Ted Belytschko;Jian Cao.
Journal of Materials Processing Technology (2012)

216 Citations

A dual homogenization and finite element approach for material characterization of textile composites

Xiongqi Peng;Jian Cao.
Composites Part B-engineering (2002)

213 Citations

Deep learning predicts path-dependent plasticity.

M Mozaffar;R Bostanabad;R Bostanabad;W Chen;K Ehmann.
Proceedings of the National Academy of Sciences of the United States of America (2019)

203 Citations

Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support

Jacob Smith;Wei Xiong;Wentao Yan;Stephen Lin.
Computational Mechanics (2016)

194 Citations

Experimental and numerical analysis on normalization of picture frame tests for composite materials

X.Q. Peng;J. Cao;J. Chen;P. Xue.
Composites Science and Technology (2004)

192 Citations

Reproducing kernel element method. Part I: Theoretical formulation

Wing Kam Liu;Weimin Han;Hongsheng Lu;Shaofan Li.
Computer Methods in Applied Mechanics and Engineering (2004)

191 Citations

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