D-Index & Metrics Best Publications

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 78 Citations 31,442 217 World Ranking 303 National Ranking 159
Materials Science D-index 76 Citations 30,587 200 World Ranking 1725 National Ranking 572

Overview

What is he best known for?

The fields of study he is best known for:

  • Semiconductor
  • Artificial intelligence
  • Electrical engineering

His primary areas of study are Nanotechnology, Memristor, Optoelectronics, Nanowire and Nanoelectronics. His Nanotechnology study deals with Non-volatile memory intersecting with Resistive switching. He has included themes like Neuromorphic engineering, State variable, Oxide and Computer data storage in his Memristor study.

His Optoelectronics research also works with subjects such as

  • Resistive touchscreen that intertwine with fields like Resistive random-access memory, Crossbar switch and Nano-,
  • Voltage and related Tantalum oxide. His Nanowire research incorporates themes from Doping, Silicon, Field-effect transistor, Semiconductor and Ballistic conduction. His Nanoelectronics research is multidisciplinary, incorporating perspectives in Diode and Nanostructure.

His most cited work include:

  • Nanoscale Memristor Device as Synapse in Neuromorphic Systems (2647 citations)
  • Nanoelectronics from the bottom up (1270 citations)
  • Ge/Si nanowire heterostructures as high-performance field-effect transistors (1254 citations)

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

His scientific interests lie mostly in Memristor, Optoelectronics, Nanotechnology, Nanowire and Resistive random-access memory. He interconnects Artificial neural network, Neuromorphic engineering, Artificial intelligence and Computer data storage in the investigation of issues within Memristor. In his study, Non-volatile memory is inextricably linked to Resistive switching, which falls within the broad field of Neuromorphic engineering.

His studies deal with areas such as Oxide and Electronics as well as Nanotechnology. His work focuses on many connections between Nanowire and other disciplines, such as Condensed matter physics, that overlap with his field of interest in Quantum dot. Within one scientific family, Wei Lu focuses on topics pertaining to Crossbar switch under Resistive random-access memory, and may sometimes address concerns connected to CMOS.

He most often published in these fields:

  • Memristor (27.67%)
  • Optoelectronics (27.67%)
  • Nanotechnology (24.51%)

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

  • Resistive random-access memory (18.97%)
  • Neuromorphic engineering (18.18%)
  • Memristor (27.67%)

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

The scientist’s investigation covers issues in Resistive random-access memory, Neuromorphic engineering, Memristor, Artificial neural network and Crossbar switch. His biological study spans a wide range of topics, including Efficient energy use, Resistive touchscreen and Parallel computing. His work carried out in the field of Neuromorphic engineering brings together such families of science as Optoelectronics, Resistive switching and Modulation.

He combines subjects such as Artificial neuron and Near-infrared spectroscopy with his study of Optoelectronics. His research investigates the connection with Memristor and areas like Combinatorial optimization which intersect with concerns in Electronic engineering. His Crossbar switch study integrates concerns from other disciplines, such as Computer hardware, Instruction set, Chip, CMOS and Indium tin oxide.

Between 2018 and 2021, his most popular works were:

  • A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations (162 citations)
  • Recommended Methods to Study Resistive Switching Devices (160 citations)
  • Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing. (140 citations)

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

  • Semiconductor
  • Artificial intelligence
  • Electrical engineering

Wei Lu focuses on Neuromorphic engineering, Artificial neural network, Memristor, Resistive switching and Resistive random-access memory. His studies in Neuromorphic engineering integrate themes in fields like Artificial neuron, Photodiode, Condensed matter physics, Vacancy defect and Resistive touchscreen. His research in Memristor intersects with topics in CMOS, Massively parallel, Combinatorial optimization and Crossbar switch.

His CMOS research is included under the broader classification of Electronic engineering. He has researched Resistive switching in several fields, including Nanoionics and Electronics. The various areas that Wei Lu examines in his Resistive random-access memory study include Non-volatile memory, Oxide, Instability and Deep neural networks.

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

Nanoscale Memristor Device as Synapse in Neuromorphic Systems

Sung Hyun Jo;Ting Chang;Idongesit Ebong;Bhavitavya B. Bhadviya.
Nano Letters (2010)

3745 Citations

Nanoelectronics from the bottom up

Wei Lu;Charles M. Lieber.
Nature Materials (2007)

1935 Citations

Ge/Si nanowire heterostructures as high-performance field-effect transistors

Jie Xiang;Wei Lu;Yongjie Hu;Yue Wu.
Nature (2006)

1767 Citations

Single-crystal metallic nanowires and metal/semiconductor nanowire heterostructures

Yue Wu;Jie Xiang;Chen Yang;Wei Lu.
Nature (2004)

1255 Citations

Observation of conducting filament growth in nanoscale resistive memories

Yuchao Yang;Peng Gao;Siddharth Gaba;Ting Chang.
Nature Communications (2012)

1008 Citations

The future of electronics based on memristive systems

Mohammed A. Zidan;John Paul Strachan;Wei D. Lu.
Nature Electronics (2018)

980 Citations

TOPICAL REVIEW: Semiconductor nanowires

Wei Lu;Charles M. Lieber.
JPhD (2006)

963 Citations

A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications

Kuk Hwan Kim;Siddharth Gaba;Dana Wheeler;Jose M. Cruz-Albrecht.
Nano Letters (2012)

930 Citations

Short-term memory to long-term memory transition in a nanoscale memristor.

Ting Chang;Sung-Hyun Jo;Wei Lu.
ACS Nano (2011)

776 Citations

Controlled deposition of individual single-walled carbon nanotubes on chemically functionalized templates

Jie Liu;Michael J. Casavant;Michael Cox;D.A. Walters.
Chemical Physics Letters (1999)

767 Citations

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