D-Index & Metrics Best Publications
Electronics and Electrical Engineering
China
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 99 Citations 38,707 1,011 World Ranking 90 National Ranking 5

Research.com Recognitions

Awards & Achievements

2023 - Research.com Electronics and Electrical Engineering in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Organic chemistry
  • Artificial intelligence

Yu Wang focuses on Nanotechnology, Crystallography, Catalysis, Electronic engineering and Artificial neural network. His Nanotechnology research is multidisciplinary, incorporating perspectives in Chemical physics, Hydrothermal circulation and Band gap. Yu Wang focuses mostly in the field of Crystallography, narrowing it down to matters related to Stereochemistry and, in some cases, Ferromagnetism.

His study looks at the relationship between Catalysis and topics such as Chemical engineering, which overlap with Phase. His Electronic engineering study incorporates themes from Neuromorphic engineering, Negative-bias temperature instability, Electronic circuit and Resistive random-access memory. His Artificial neural network research incorporates elements of Memristor, Computer engineering, Speedup and Computation.

His most cited work include:

  • Going Deeper with Embedded FPGA Platform for Convolutional Neural Network (755 citations)
  • PRIME: a novel processing-in-memory architecture for neural network computation in ReRAM-based main memory (688 citations)
  • Core–Shell ZIF-8@ZIF-67-Derived CoP Nanoparticle-Embedded N-Doped Carbon Nanotube Hollow Polyhedron for Efficient Overall Water Splitting (643 citations)

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

Yu Wang mainly focuses on Crystallography, Stereochemistry, Crystal structure, Medicinal chemistry and Nanotechnology. Many of his studies involve connections with topics such as Molecule and Crystallography. His Stereochemistry study frequently links to adjacent areas such as Ligand.

His studies link X-ray crystallography with Crystal structure. Many of his studies on Medicinal chemistry involve topics that are commonly interrelated, such as Ruthenium.

He most often published in these fields:

  • Crystallography (12.20%)
  • Stereochemistry (10.56%)
  • Crystal structure (9.25%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (5.05%)
  • Artificial neural network (4.40%)
  • Distributed computing (1.90%)

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

His primary areas of investigation include Artificial intelligence, Artificial neural network, Distributed computing, Convolutional neural network and Catalysis. His work carried out in the field of Artificial intelligence brings together such families of science as Field-programmable gate array, Machine learning and Pattern recognition. His Artificial neural network research includes themes of Fault tolerance and Resistive random-access memory.

Within one scientific family, Yu Wang focuses on topics pertaining to Computer engineering under Convolutional neural network, and may sometimes address concerns connected to Efficient energy use. His Catalysis research integrates issues from Inorganic chemistry, Electrochemistry and Chemical engineering. Yu Wang frequently studies issues relating to Electrolyte and Chemical engineering.

Between 2018 and 2021, his most popular works were:

  • Unified Language Model Pre-training for Natural Language Understanding and Generation (348 citations)
  • Towards artificial general intelligence with hybrid Tianjic chip architecture. (130 citations)
  • Unified Language Model Pre-training for Natural Language Understanding and Generation (81 citations)

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

  • Quantum mechanics
  • Organic chemistry
  • Artificial intelligence

His main research concerns Catalysis, Resistive random-access memory, Power, Artificial intelligence and Chemical engineering. His research integrates issues of Inorganic chemistry, Electrochemistry and Adsorption in his study of Catalysis. His work deals with themes such as Artificial neural network, Fault tolerance and Speedup, which intersect with Resistive random-access memory.

His work in the fields of Deep learning, Transformer and Language model overlaps with other areas such as Natural language understanding. In his research, Amorphous solid is intimately related to Electrolyte, which falls under the overarching field of Chemical engineering. His Field-programmable gate array study combines topics in areas such as Convolutional neural network and Computer engineering.

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

Binary Black Hole Mergers in the first Advanced LIGO Observing Run

B. P. Abbott;R. Abbott.
arXiv: General Relativity and Quantum Cosmology (2016)

1374 Citations

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

Jiantao Qiu;Jie Wang;Song Yao;Kaiyuan Guo.
field programmable gate arrays (2016)

1104 Citations

PRIME: a novel processing-in-memory architecture for neural network computation in ReRAM-based main memory

Ping Chi;Shuangchen Li;Cong Xu;Tao Zhang.
international symposium on computer architecture (2016)

1092 Citations

Dielectric properties and abnormal C-V characteristics of Ba[sub 0.5]Sr[sub 0.5]TiO₃-Bi[sub 1.5]ZnNb[sub 1.5]O[sub 7] composite thin films grown on MgO (001) substrates by pulsed laser deposition

Huyong Tian;Yu Wang;Danyang Wang;Jun Miao.
Applied Physics Letters (2006)

991 Citations

All-inorganic perovskite nanocrystal scintillators

Qiushui Chen;Jing Wu;Xiangyu Ou;Bolong Huang.
Nature (2018)

878 Citations

Properties of the binary neutron star merger GW170817

B. P. Abbott;R. Abbott.
arXiv: General Relativity and Quantum Cosmology (2018)

763 Citations

Properties of the Binary Neutron Star Merger GW170817

B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese.
Physical Review X (2019)

724 Citations

A gravitational-wave standard siren measurement of the Hubble constant

B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese;F. Acernese.
Nature (2017)

679 Citations

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Yujun Lin;Song Han;Huizi Mao;Yu Wang.
international conference on learning representations (2018)

669 Citations

WO3 nanorods/graphene nanocomposites for high-efficiency visible-light-driven photocatalysis and NO2 gas sensing

Xiaoqiang An;Jimmy C. Yu;Yu Wang;Yongming Hu.
Journal of Materials Chemistry (2012)

658 Citations

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Best Scientists Citing Yu Wang

Yiran Chen

Yiran Chen

Duke University

Publications: 68

Yuan Xie

Yuan Xie

University of California, Santa Barbara

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Hai Li

Hai Li

Duke University

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Yanzhi Wang

Yanzhi Wang

Northeastern University

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Shimeng Yu

Shimeng Yu

Georgia Institute of Technology

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Weisheng Zhao

Weisheng Zhao

Beihang University

Publications: 37

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 37

Yun Liang

Yun Liang

Peking University

Publications: 31

Deming Chen

Deming Chen

University of Illinois at Urbana-Champaign

Publications: 30

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 28

Wayne Luk

Wayne Luk

Imperial College London

Publications: 27

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 23

Vijaykrishnan Narayanan

Vijaykrishnan Narayanan

Pennsylvania State University

Publications: 23

Hai Jin

Hai Jin

Huazhong University of Science and Technology

Publications: 22

Guangyu Sun

Guangyu Sun

Peking University

Publications: 21

Meng-Fan Chang

Meng-Fan Chang

National Tsing Hua University

Publications: 20

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