WaiChing Sun

Mechanics of Materials · 2013–2020

A researcher in the Science corpus: 7 papers; trusts 113 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Mechanics of Materials — 90 citations into it; #2,059 of 6,291 by trust here, #3,346 by citations
• Civil and Structural Engineering — 42 citations into it; #4,813 of 6,160 by trust here, #5,397 by citations
• Computational Mechanics — 42 citations into it; #4,449 of 10,001 by trust here, #5,567 by citations
• Computational Theory and Mathematics — 27 citations into it
• Artificial Intelligence — 25 citations into it; #25,927 of 35,345 by trust here, #31,361 by citations
• Materials Chemistry — 25 citations into it; #8,152 of 11,513 by trust here, #10,983 by citations
• Mechanical Engineering — 17 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom WaiChing Sun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronaldo I. Borja
2. C. Miehé
3. Kun Wang
4. Diederik P. Kingma
5. Y. Dafalias
6. Matthew R. Kuhn
7. Michael A. Puso
8. Michael J. Borden
9. A. Truty
10. David Silver

Who trusts WaiChing Sun overall

1. Kun Wang
2. F. Fei
3. Nikolaos N. Vlassis
4. L. Monforte
5. Jinhyun Choo
6. R. Ma
7. M. Arroyo
8. Ruiyang Zhang
9. Yang Liu
10. Chengping Rao

Papers from WaiChing Sun's perspective

Ordered by how strongly the researchers WaiChing Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Stress-induced anisotropy in granular materials: fabric, stiffness, and permeability (2015) — 133 citations
• A stabilized assumed deformation gradient finite element formulation for strongly coupled poromechanical simulations at finite strain (2013) — 149 citations
• Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity (2020) — 207 citations
• A mixed-mode phase field fracture model in anisotropic rocks with consistent kinematics (2018) — 192 citations
• A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning (2018)
• Coupled phase-field and plasticity modeling of geological materials: From brittle fracture to ductile flow (2018) — 212 citations
• Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning (2018) — 120 citations