H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Materials Science D-index 55 Citations 9,669 217 World Ranking 4318 National Ranking 1101

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Artificial intelligence
  • Optics

Wei Hu spends much of his time researching Graphene, Optoelectronics, Nanotechnology, van der Waals force and Liquid crystal. His Graphene research includes elements of Monolayer and Doping. His studies in Optoelectronics integrate themes in fields like Polarizer, Phase modulation, Electric field and Optical vortex.

Wei Hu has researched van der Waals force in several fields, including Nanocomposite and Density functional theory. The various areas that Wei Hu examines in his Density functional theory study include Chemical physics and Germanene. His Liquid crystal study is focused on Optics in general.

His most cited work include:

  • A Flexible and Highly Pressure‐Sensitive Graphene–Polyurethane Sponge Based on Fractured Microstructure Design (637 citations)
  • Aromatic Poly(ether ketone)s with Pendant Sulfonic Acid Phenyl Groups Prepared by a Mild Sulfonation Method for Proton Exchange Membranes (308 citations)
  • Cobalt in Nitrogen-Doped Graphene as Single-Atom Catalyst for High-Sulfur Content Lithium–Sulfur Batteries (300 citations)

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

The scientist’s investigation covers issues in Optics, Liquid crystal, Optoelectronics, Artificial intelligence and Algorithm. His Optics research is multidisciplinary, relying on both Vortex and Angular momentum. His research in Liquid crystal intersects with topics in Photonics, Diffraction efficiency, Birefringence and Terahertz radiation.

His Optoelectronics study frequently links to related topics such as Graphene. Wei Hu combines subjects such as Monolayer, van der Waals force and Condensed matter physics with his study of Graphene. His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.

He most often published in these fields:

  • Optics (17.54%)
  • Liquid crystal (15.25%)
  • Optoelectronics (14.92%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (11.48%)
  • Liquid crystal (15.25%)
  • Optoelectronics (14.92%)

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

His primary areas of investigation include Artificial intelligence, Liquid crystal, Optoelectronics, Density functional theory and Optics. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition. His Liquid crystal research focuses on Geometric phase and how it relates to Planar.

His Optoelectronics research incorporates elements of Polymer and Beam steering. The concepts of his Density functional theory study are interwoven with issues in Rashba effect, Response time, Computational physics and Semiconductor. His Optics study frequently draws connections to other fields, such as Dielectric.

Between 2019 and 2021, his most popular works were:

  • Liquid crystal programmable metasurface for terahertz beam steering (20 citations)
  • Feature Graph Learning for 3D Point Cloud Denoising (16 citations)
  • GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations (12 citations)

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

  • Quantum mechanics
  • Artificial intelligence
  • Operating system

His primary areas of study are Liquid crystal, Optoelectronics, Artificial intelligence, Graph and Terahertz radiation. Wei Hu interconnects Geometric phase, Nanotechnology, Defect engineering, Polarization and Grating in the investigation of issues within Liquid crystal. Wei Hu focuses mostly in the field of Optoelectronics, narrowing it down to topics relating to Polymer and, in certain cases, Photonics, Anisotropy and Absorption.

His Artificial intelligence research is multidisciplinary, incorporating elements of Protein structure, Spectral line, Machine learning and Pattern recognition. His Terahertz radiation study is concerned with the larger field of Optics. His study brings together the fields of Phase and Optics.

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

A Flexible and Highly Pressure‐Sensitive Graphene–Polyurethane Sponge Based on Fractured Microstructure Design

Hong-Bin Yao;Jin Ge;Chang-Feng Wang;Xu Wang.
Advanced Materials (2013)

702 Citations

Aromatic Poly(ether ketone)s with Pendant Sulfonic Acid Phenyl Groups Prepared by a Mild Sulfonation Method for Proton Exchange Membranes

Baijun Liu;Gilles P. Robertson;Dae-Sik Kim;Michael D. Guiver.
Macromolecules (2007)

377 Citations

Cobalt in Nitrogen-Doped Graphene as Single-Atom Catalyst for High-Sulfur Content Lithium–Sulfur Batteries

Zhenzhen Du;Xingjia Chen;Wei Hu;Chenghao Chuang.
Journal of the American Chemical Society (2019)

357 Citations

Atomic-level insight into super-efficient electrocatalytic oxygen evolution on iron and vanadium co-doped nickel (oxy)hydroxide.

Jian Jiang;Fanfei Sun;Si Zhou;Wei Hu.
Nature Communications (2018)

244 Citations

Silicene as a highly sensitive molecule sensor for NH3, NO and NO2

Wei Hu;Nan Xia;Xiaojun Wu;Zhenyu Li.
Physical Chemistry Chemical Physics (2014)

196 Citations

Three-dimensional ordered macroporous IrO2 as electrocatalyst for oxygen evolution reaction in acidic medium

Wei Hu;Wei Hu;Yaqin Wang;Xiaohong Hu;Yuanquan Zhou.
Journal of Materials Chemistry (2012)

177 Citations

Defects in Phosphorene

Wei Hu;Jinlong Yang.
Journal of Physical Chemistry C (2015)

172 Citations

A first-principles study of gas adsorption on germanene

Wenqi Xia;Wei Hu;Wei Hu;Zhenyu Li;Jinlong Yang.
Physical Chemistry Chemical Physics (2014)

172 Citations

Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images

Wei Hu;Gene Cheung;Antonio Ortega;Oscar C. Au.
IEEE Transactions on Image Processing (2015)

158 Citations

Poly(aryl ether ketone)s with (3‐methyl)phenyl and (3‐trifluoromethyl)phenyl side groups

Baijun Liu;Guibin Wang;Wei Hu;Yuhui Jin.
Journal of Polymer Science Part A (2002)

154 Citations

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Best Scientists Citing Wei Hu

Gene Cheung

Gene Cheung

York University

Publications: 76

Vladimir G. Chigrinov

Vladimir G. Chigrinov

Hong Kong University of Science and Technology

Publications: 75

Hoi Sing Kwok

Hoi Sing Kwok

Hong Kong University of Science and Technology

Publications: 65

Yan-qing Lu

Yan-qing Lu

Nanjing University

Publications: 42

Michael D. Guiver

Michael D. Guiver

Tianjin University

Publications: 36

Jiun-Shyan Chen

Jiun-Shyan Chen

University of California, San Diego

Publications: 36

Shin-Tson Wu

Shin-Tson Wu

University of Central Florida

Publications: 35

Antonio Ortega

Antonio Ortega

University of Southern California

Publications: 31

Jinlong Yang

Jinlong Yang

University of Science and Technology of China

Publications: 25

Quan Li

Quan Li

Kent State University

Publications: 24

Hui-Ming Cheng

Hui-Ming Cheng

Tsinghua University

Publications: 23

Ching-Ping Wong

Ching-Ping Wong

Georgia Institute of Technology

Publications: 22

Fei Xu

Fei Xu

Nanjing University

Publications: 21

Yong-Wei Zhang

Yong-Wei Zhang

Institute of High Performance Computing

Publications: 21

Han Zhang

Han Zhang

Shenzhen University

Publications: 20

Rajeev Ahuja

Rajeev Ahuja

Uppsala University

Publications: 20

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