Xiang Zhang
Atomic and Molecular Physics, and Optics · Science · 2003–2021
A researcher in the Science corpus: 60 papers; trusts 75 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 516 citations into it; #577 of 7,135 by trust here, #39 by citations
- Electronic, Optical and Magnetic Materials — 481 citations into it; #66 of 2,886 by trust here, #102 by citations
- Biomedical Engineering — 434 citations into it; #402 of 10,734 by trust here, #39 by citations
- Materials Chemistry — 365 citations into it
- Electrical and Electronic Engineering — 356 citations into it; #8,266 of 16,539 by trust here, #882 by citations
- Aerospace Engineering — 181 citations into it; #2,812 of 6,421 by trust here, #148 by citations
- Artificial Intelligence — 48 citations into it
- Molecular Biology — 34 citations into it
Whom Xiang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John B. Pendry
- Vladimir M. Shalaev
- Nicholas X. Fang
- Andrew P. Bradley
- Ajinkya More
- Ulf Leonhardt
- David Schurig
- Costas M. Soukoulis
- Zhaowei Liu
- Thomas Kipf
Who trusts Xiang Zhang overall
- Wei Ma
- Yongmin Liu
- Withawat Withayachumnankul
- Alexander B. Khanikaev
- S. A. Maier
- Alongkorn Pimpin
- P. Sheng
- Guancong Ma
- Igor I. Smolyaninov
- Ankit Srivastava
Papers from Xiang Zhang's perspective
Ordered by how strongly the researchers Xiang Zhang 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Probing excitonic dark states in single-layer tungsten disulphide (2014) — 950 citations
- Far-Field Optical Hyperlens Magnifying Sub-Diffraction-Limited Objects (2007) — 2,046 citations
- Plasmon lasers at deep subwavelength scale (2009) — 1,553 citations
- Ultrasonic metamaterials with negative modulus (2006) — 1,839 citations
- SubDiffraction-Limited Optical Imaging with a Silver Superlens (2005) — 3,816 citations
- A graphene-based broadband optical modulator (2011) — 3,159 citations
- Switching terahertz waves with gate-controlled active graphene metamaterials. (2012) — 868 citations
- Discovery of intrinsic ferromagnetism in two-dimensional van der Waals crystals (2017) — 4,290 citations
- Plasmon-induced transparency in metamaterials. (2008) — 2,082 citations
- A hybrid plasmonic waveguide for subwavelength confinement and long-range propagation (2008) — 1,968 citations
- Three-dimensional optical metamaterial with a negative refractive index (2008) — 2,176 citations
- Interparticle Coupling Effects on Plasmon Resonances of Nanogold Particles (2003) — 1,443 citations
- Experimental demonstration of an acoustic magnifying hyperlens. (2009) — 678 citations
- Edge Nonlinear Optics on a MoS2 Atomic Monolayer (2014) — 677 citations
- Observation of piezoelectricity in free-standing monolayer MoS₂. (2015) — 757 citations
- Metasurfaces for manipulating surface plasmons (2013) — 163 citations
- Monolayer excitonic laser (2015) — 567 citations
- Ultra-compact silicon nanophotonic modulator with broadband response (2012) — 443 citations
- Structural phase transition in monolayer MoTe2 driven by electrostatic doping (2017) — 711 citations
- Surface resonant states and superlensing in acoustic metamaterials (2007) — 222 citations