D-Index & Metrics Best Publications

D-Index & Metrics

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
Engineering and Technology D-index 35 Citations 4,802 143 World Ranking 3502 National Ranking 373

Overview

What is he best known for?

The fields of study he is best known for:

  • Semiconductor
  • Nanotechnology
  • Polymer

His primary areas of study are Nanotechnology, Optoelectronics, Computer data storage, Flash memory and Transistor. He usually deals with Nanotechnology and limits it to topics linked to Black phosphorus and Resistive switching and Current. His Optoelectronics research includes themes of Modulation and Resistive random-access memory, Voltage.

His Computer data storage research integrates issues from Non-volatile memory and Green electronics, Electronics. His Flash memory course of study focuses on Semiconductor and Printed electronics, Molecular memory and Computer hardware. His Threshold voltage study in the realm of Transistor connects with subjects such as Neuroplasticity.

His most cited work include:

  • Towards the development of flexible non-volatile memories. (329 citations)
  • Recent advances in black phosphorus-based photonics, electronics, sensors and energy devices (175 citations)
  • An Overview of the Development of Flexible Sensors. (170 citations)

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

His scientific interests lie mostly in Optoelectronics, Nanotechnology, Transistor, Neuromorphic engineering and Computer data storage. His work deals with themes such as Flash memory, Resistive random-access memory and Ambipolar diffusion, which intersect with Optoelectronics. His research in Flash memory intersects with topics in Quantum dot and Non-volatile random-access memory.

His research ties Organic electronics and Nanotechnology together. His work on Threshold voltage as part of general Transistor research is frequently linked to Neuroplasticity, bridging the gap between disciplines. As a part of the same scientific study, Ye Zhou usually deals with the Neuromorphic engineering, concentrating on Memristor and frequently concerns with Resistive switching.

He most often published in these fields:

  • Optoelectronics (46.67%)
  • Nanotechnology (36.41%)
  • Transistor (21.03%)

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

  • Optoelectronics (46.67%)
  • Neuromorphic engineering (16.41%)
  • Nanotechnology (36.41%)

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

Optoelectronics, Neuromorphic engineering, Nanotechnology, Memristor and Computer data storage are his primary areas of study. The concepts of his Optoelectronics study are interwoven with issues in Modulation and Ambipolar diffusion. His studies in Neuromorphic engineering integrate themes in fields like Perovskite and Spiking neural network.

His work carried out in the field of Nanotechnology brings together such families of science as Transistor and Polymer. His work on Organic electronics is typically connected to Metal-organic framework as part of general Transistor study, connecting several disciplines of science. The study incorporates disciplines such as Non-volatile memory, Ferroelectric polymers and Resistive random-access memory in addition to Computer data storage.

Between 2019 and 2021, his most popular works were:

  • Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems (37 citations)
  • Optically Modulated Threshold Switching in Core–Shell Quantum Dot Based Memristive Device (13 citations)
  • Recent Advances of Volatile Memristors: Devices, Mechanisms, and Applications (10 citations)

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

  • Semiconductor
  • Nanotechnology
  • Polymer

Ye Zhou focuses on Nanotechnology, Neuromorphic engineering, Optoelectronics, Computer data storage and Memristor. His studies deal with areas such as Copolymer, Electrospinning and Electronics as well as Nanotechnology. His study in Neuromorphic engineering is interdisciplinary in nature, drawing from both Transistor, Artificial neuron and Heterojunction.

He regularly ties together related areas like Modulation in his Optoelectronics studies. His research integrates issues of Green electronics, Resistive random-access memory, Flexible electronics, Non-volatile memory and Ferroelectric polymers in his study of Computer data storage. His study looks at the relationship between Memristor and fields such as Perovskite, as well as how they intersect with chemical problems.

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

Towards the development of flexible non-volatile memories.

Su-Ting Han;Ye Zhou;V. A. L. Roy.
Advanced Materials (2013)

394 Citations

An Overview of the Development of Flexible Sensors.

Su-Ting Han;Haiyan Peng;Qijun Sun;Shishir Venkatesh.
Advanced Materials (2017)

224 Citations

Recent advances in black phosphorus-based photonics, electronics, sensors and energy devices

Ye Zhou;Maoxian Zhang;Zhinan Guo;Lili Miao.
Materials horizons (2017)

200 Citations

Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing.

Yan Wang;Ziyu Lv;Jinrui Chen;Zhanpeng Wang.
Advanced Materials (2018)

195 Citations

Layer-by-layer-assembled reduced graphene oxide/gold nanoparticle hybrid double-floating-gate structure for low-voltage flexible flash memory.

Su-Ting Han;Ye Zhou;Chundong Wang;Lifang He.
Advanced Materials (2013)

154 Citations

Synergies of Electrochemical Metallization and Valance Change in All‐Inorganic Perovskite Quantum Dots for Resistive Switching

Yan Wang;Ziyu Lv;Qiufan Liao;Haiquan Shan.
Advanced Materials (2018)

144 Citations

Microcontact Printing of Ultrahigh Density Gold Nanoparticle Monolayer for Flexible Flash Memories

Su-Ting Han;Ye Zhou;Zong-Xiang Xu;Long-Biao Huang.
Advanced Materials (2012)

132 Citations

An upconverted photonic nonvolatile memory

Ye Zhou;Su-Ting Han;Xian Chen;Feng Wang.
Nature Communications (2014)

130 Citations

Nonvolatile multilevel data storage memory device from controlled ambipolar charge trapping mechanism

Ye Zhou;Su-Ting Han;Prashant Sonar;V. A. L. Roy.
Scientific Reports (2013)

115 Citations

From biomaterial-based data storage to bio-inspired artificial synapse

Ziyu Lv;Ye Zhou;Su-Ting Han;V.A.L. Roy.
Materials Today (2018)

111 Citations

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