Xiaoying Zhuang
Mechanics of Materials · 2009–2021
A researcher in the Science corpus: 47 papers; trusts 183 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Mechanics of Materials — 725 citations into it; #380 of 6,291 by trust here, #126 by citations
- Computational Mechanics — 431 citations into it; #4,860 of 10,001 by trust here, #752 by citations
- Civil and Structural Engineering — 260 citations into it; #539 of 6,160 by trust here, #436 by citations
- Materials Chemistry — 228 citations into it; #10,302 of 11,513 by trust here, #7,964 by citations
- Electrical and Electronic Engineering — 102 citations into it; #6,569 of 16,539 by trust here, #6,070 by citations
- Computational Theory and Mathematics — 99 citations into it
- Mechanical Engineering — 90 citations into it; #8,053 of 8,300 by trust here, #3,592 by citations
- Statistical and Nonlinear Physics — 62 citations into it; #6,390 of 10,127 by trust here, #3,869 by citations
Whom Xiaoying Zhuang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Timon Rabczuk
- Ted Belytschko
- Marc Duflot
- Stéphane P.A. Bordas
- Goangseup Zi
- Nicolas Moës
- Guirong Liu
- Thomas-Peter Fries
- Pedro Areias
- Stewart A. Silling
Who trusts Xiaoying Zhuang overall
- Yongtao Yang
- Timon Rabczuk
- Hong Zheng
- Charles E. Augarde
- Miguel Cervera
- Shuwei Zhou
- Hehua Zhu
- S. S. Ghorashi
- Yiming Zhang
- Yongchang Cai
Papers from Xiaoying Zhuang's perspective
Ordered by how strongly the researchers Xiaoying Zhuang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Dynamic crack propagation based on loss of hyperbolicity and a new discontinuous enrichment
- Attention is All you Need (Neural Information Processing Systems)
- Understanding the difficulty of training deep feedforward neural networks
Their papers
- A new partition of unity finite element free from the linear dependence problem and possessing the delta property (2010) — 106 citations
- Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters (2015) — 259 citations
- Dual‐horizon peridynamics (2015) — 730 citations
- Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies (2018) — 422 citations
- Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions (2017) — 389 citations
- A deep energy method for finite deformation hyperelasticity (2020) — 306 citations
- A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate (2021) — 503 citations
- A micropolar peridynamic model with non-uniform horizon for static damage of solids considering different nonlocal enhancements (2021) — 126 citations
- Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates (2020) — 395 citations
- Nanoporous C3N4, C3N5 and C3N6 nanosheets; novel strong semiconductors with low thermal conductivities and appealing optical/electronic properties (2020) — 133 citations
- A higher order nonlocal operator method for solving partial differential equations (2020) — 154 citations
- Three-dimensional mesoscale computational modeling of soil-rock mixtures with concave particles (2020) — 151 citations
- Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles (2020) — 487 citations
- Isogeometric analysis for explicit elastodynamics using a dual-basis diagonal mass formulation (2019) — 51 citations
- Phase-field modeling of fluid-driven dynamic cracking in porous media (2019) — 304 citations
- Cracking elements method for dynamic brittle fracture (2019) — 192 citations
- A Nonlocal Operator Method for Partial Differential Equations with Application to Electromagnetic Waveguide Problem (2019) — 324 citations
- An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications (2019) — 1,881 citations
- An explicit phase field method for brittle dynamic fracture (2019) — 295 citations
- Outstanding strength, optical characteristics and thermal conductivity of graphene-like BC3 and BC6N semiconductors (2019) — 151 citations