World's Best Scientists 2026 revealed!

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Computer Science

D-Index
47
Citations
11255
World Ranking
6393
National Ranking
2853

Electronics and Electrical Engineering

D-Index
49
Citations
14527
World Ranking
2885
National Ranking
1092

Overview

Qing Wu is affiliated with the United States Air Force Research Laboratory in the United States. Their research is primarily situated in the field of engineering, with a focus on electrical and electronic engineering, materials chemistry, renewable energy, sustainability and the environment, mechanical engineering, and cellular and molecular neuroscience.

The main topics addressed in their work include advanced memory and neural computing, ferroelectric and negative capacitance devices, advanced photocatalysis techniques, neuroscience and neural engineering, chalcogenide semiconductor thin films, neural dynamics and brain function, and copper-based nanomaterials and applications.

Qing Wu has contributed to several recent papers, which are as follows:

  • Programming memristor arrays with arbitrarily high precision for analog computing, 2024, Science
  • Enhanced electron channel via the interfacial heterotropic electric field in dual S-scheme g-C3N4/WO3/ZnS photocatalyst for year-round antibiotic degradation under sunlight, 2023, Chemical Engineering Journal
  • A Survey on Neuromorphic Computing: Models and Hardware, 2022, IEEE Circuits and Systems Magazine
  • Three-dimensional memristor circuits as complex neural networks, 2020, Nature Electronics
  • A memristor-based hybrid analog-digital computing platform for mobile robotics, 2020, Science Robotics

Frequent coauthors associated with Qing Wu include:

  • Mark Barnell
  • Yong Du
  • Jiong Wang
  • J. Joshua Yang
  • Wenhao Song

Publication venues with multiple contributions from Qing Wu consist of:

  • Preprints.org
  • ACS Applied Materials & Interfaces
  • Physical Chemistry Chemical Physics
  • The Journal of Physical Chemistry C
  • Science Advances

Best Publications

  • Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

    Zhongrui Wang;Saumil Joshi;Sergey E. Savel’ev;Hao Jiang

  • Analogue signal and image processing with large memristor crossbars

    Can Li;Miao Hu;Miao Hu;Yunning Li;Hao Jiang

  • Fully memristive neural networks for pattern classification with unsupervised learning

    Zhongrui Wang;Saumil Joshi;Sergey Savel’ev;Wenhao Song

  • Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

    Can Li;Daniel Belkin;Daniel Belkin;Yunning Li;Peng Yan;Peng Yan

  • Clock-gating and its application to low power design of sequential circuits

    Qing Wu;M. Pedram;Xunwei Wu

  • A novel true random number generator based on a stochastic diffusive memristor

    Hao Jiang;Daniel Belkin;Daniel Belkin;Sergey E. Savel’ev;Siyan Lin

  • Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

    Miao Hu;Hai Li;Yiran Chen;Qing Wu

  • Long short-term memory networks in memristor crossbars

    Can Li;Zhongrui Wang;Mingyi Rao;Daniel Belkin

  • Anatomy of Ag/Hafnia-Based Selectors with 10 10 Nonlinearity

    Rivu Midya;Zhongrui Wang;Jiaming Zhang;Sergey E. Savel'ev

  • Reinforcement learning with analogue memristor arrays

    Zhongrui Wang;Can Li;Wenhao Song;Mingyi Rao

  • Long short-term memory networks in memristor crossbar arrays

    Can Li;Can Li;Zhongrui Wang;Mingyi Rao;Daniel Belkin

  • Three-dimensional memristor circuits as complex neural networks

    Peng Lin;Peng Lin;Can Li;Zhongrui Wang;Yunning Li

  • In situ training of feed-forward and recurrent convolutional memristor networks

    Zhongrui Wang;Can Li;Can Li;Peng Lin;Mingyi Rao

  • Capacitive neural network with neuro-transistors.

    Zhongrui Wang;Mingyi Rao;Jin Woo Han;Jiaming Zhang

  • Sub-10 nm Ta Channel Responsible for Superior Performance of a HfO2 Memristor.

    Hao Jiang;Lili Han;Lili Han;Peng Lin;Zhongrui Wang

  • Design considerations for battery-powered electronics

    Massoud Pedram;Qing Wu

  • Three-dimensional crossbar arrays of self-rectifying Si/SiO 2 /Si memristors

    Can Li;Lili Han;Lili Han;Lili Han;Hao Jiang;Moon-Hyung Jang

  • Hardware realization of BSB recall function using memristor crossbar arrays

    Miao Hu;Hai Li;Qing Wu;Garrett S. Rose

  • Vortex: variation-aware training for memristor X-bar

    Beiye Liu;Hai Li;Yiran Chen;Xin Li

  • A new design of double edge triggered flip-flops

    M. Pedram;Qing Wu;Xunwei Wu

  • Generative Poisoning Attack Method Against Neural Networks

    Chaofei Yang;Qing Wu;Hai Li;Yiran Chen

Frequent Co-Authors

Qinru Qiu
Qinru Qiu Syracuse University
Hai Li
Hai Li Duke University
J. Joshua Yang
J. Joshua Yang University of Southern California
Massoud Pedram
Massoud Pedram University of Southern California
Qiangfei Xia
Qiangfei Xia University of Massachusetts Amherst
Miao Hu
Miao Hu Binghamton University
R. Stanley Williams
R. Stanley Williams Texas A&M University
John Paul Strachan
John Paul Strachan Hewlett-Packard (United States)
Ning Ge
Ning Ge Tsinghua University
Garrett S. Rose
Garrett S. Rose University of Tennessee at Knoxville

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