Wei-Yao Tang
Biomedical Engineering · 1997–2020
A researcher in the Science corpus: 28 papers; trusts 125 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 310 citations into it; #1,695 of 10,734 by trust here, #338 by citations
- Polymers and Plastics — 205 citations into it; #348 of 2,623 by trust here, #256 by citations
- Mechanical Engineering — 169 citations into it; #5,901 of 8,300 by trust here, #1,134 by citations
- Electronic, Optical and Magnetic Materials — 95 citations into it; #1,022 of 2,886 by trust here, #778 by citations
- Electrical and Electronic Engineering — 94 citations into it
- Plant Science — 48 citations into it; #6,181 of 8,232 by trust here, #3,014 by citations
- Materials Chemistry — 34 citations into it
- Molecular Biology — 33 citations into it; #14,010 of 17,773 by trust here, #9,270 by citations
Whom Wei-Yao Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Zhong Lin Wang
- Yoshua Bengio
- Matthieu Courbariaux
- Kaiming He
- M. D. Groppa
- Geoffrey E. Hinton
- Ross B. Girshick
- Sergey Ioffe
- Ilya Sutskever
Who trusts Wei-Yao Tang overall
- Zhong Lin Wang
- R. Dharmasena
- Asit K. Mishra
- Josh Fromm
- Jianjun Luo
- Yong Guo
- Peisong Wang
- Julian Faraone
- By Lei Deng
- Yujie Wu
Papers from Wei-Yao Tang's perspective
Ordered by how strongly the researchers Wei-Yao Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- How to Train a Compact Binary Neural Network with High Accuracy? (2017) — 259 citations
- Standards and figure-of-merits for quantifying the performance of triboelectric nanogenerators (2015) — 764 citations
- Integration of micro-supercapacitors with triboelectric nanogenerators for a flexible self-charging power unit (2015) — 174 citations
- Liquid‐Metal Electrode for High‐Performance Triboelectric Nanogenerator at an Instantaneous Energy Conversion Efficiency of 70.6% (2015) — 486 citations
- Flexible and durable wood-based triboelectric nanogenerators for self-powered sensing in athletic big data analytics (2019) — 465 citations
- Integrated triboelectric nanogenerator array based on air-driven membrane structures for water wave energy harvesting (2017) — 176 citations
- Correction of a genetic disease in mouse via use of CRISPR-Cas9. (2013) — 616 citations
- In Vivo Self-Powered Wireless Cardiac Monitoring via Implantable Triboelectric Nanogenerator. (2016) — 387 citations
- Recent Progress in Power Generation from Water/Liquid Droplet Interaction with Solid Surfaces (2019) — 186 citations
- Direct‐Current Triboelectric Nanogenerator Realized by Air Breakdown Induced Ionized Air Channel (2018) — 141 citations
- Water wave energy harvesting and self-powered liquid-surface fluctuation sensing based on bionic-jellyfish triboelectric nanogenerator (2017) — 236 citations
- Flexible Nanogenerators for Energy Harvesting and Self‐Powered Electronics (2016) — 1,705 citations
- Power management and effective energy storage of pulsed output from triboelectric nanogenerator (2019) — 156 citations
- Multilayered electret films based triboelectric nanogenerator (2016) — 149 citations
- Rotating‐Disk‐Based Direct‐Current Triboelectric Nanogenerator (2014) — 201 citations
- Polyamines reduce salt-induced oxidative damage by increasing the activities of antioxidant enzymes and decreasing lipid peroxidation in Virginia pine (2005) — 208 citations
- Energy Harvesting from Breeze Wind (0.7–6 m s−1) Using Ultra‐Stretchable Triboelectric Nanogenerator (2020) — 150 citations
- Self-powered cleaning of air pollution by wind driven triboelectric nanogenerator (2015) — 222 citations
- Increase of polyphenol oxidase and decrease of polyamines correlate with tissue browning in Virginia pine (Pinus virginiana Mill.) (2004) — 114 citations
- Three-dimensional ultraflexible triboelectric nanogenerator made by 3D printing (2017) — 216 citations