World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
24312
World Ranking
1333
National Ranking
551

Overview

Qiangfei Xia is affiliated with the University of Massachusetts Amherst in the United States. Their main fields of study are Engineering and Neuroscience, with a particular focus within Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence, and Materials Chemistry.

The primary research topics covered in their work include Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Neural dynamics and brain function, Neuroscience and Neural Engineering, Neural Networks and Reservoir Computing, Photoreceptor and optogenetics research, and CCD and CMOS Imaging Sensors.

They have published extensively in several scientific venues. Frequent publication venues for their work include:

  • Nature Electronics
  • Advanced Materials
  • Advanced Electronic Materials
  • Nature Communications
  • Science Advances

Coauthor collaborations have been frequent with several researchers, including:

  • J. Joshua Yang (23 publications)
  • Zhongrui Wang (11 publications)
  • Wenhao Song (10 publications)
  • Rivu Midya (9 publications)
  • Mingyi Rao (9 publications)

Among their recent scientific papers are:

  • "Resistive switching materials for information processing," published in 2020 in Nature Reviews Materials
  • "Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks," published in 2020 in Nature Electronics
  • "An artificial spiking afferent nerve based on Mott memristors for neurorobotics," published in 2020 in Nature Communications
  • "Thousands of conductance levels in memristors integrated on CMOS," published in 2023 in Nature
  • "Three-dimensional memristor circuits as complex neural networks," published in 2020 in Nature Electronics

Best Publications

  • Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

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

  • Memristive crossbar arrays for brain-inspired computing

    Qiangfei Xia;J. Joshua Yang

  • Analogue signal and image processing with large memristor crossbars

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

  • Resistive switching materials for information processing

    Zhongrui Wang;Huaqiang Wu;Geoffrey W. Burr;Cheol Seong Hwang

  • 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

  • Black Phosphorus Mid-Infrared Photodetectors with High Gain

    Qiushi Guo;Andreas Pospischil;Maruf Bhuiyan;Hao Jiang

  • Memristor―CMOS Hybrid Integrated Circuits for Reconfigurable Logic

    Qiangfei Xia;Warren Robinett;Michael W. Cumbie;Neel Banerjee

  • Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine.

    Miao Hu;Catherine E. Graves;Can Li;Yunning Li

  • Review of memristor devices in neuromorphic computing: materials sciences and device challenges

    Yibo Li;Zhongrui Wang;Rivu Midya;Qiangfei Xia

  • Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension.

    Shuang Pi;Can Li;Hao Jiang;Weiwei Xia

  • Emerging Memory Devices for Neuromorphic Computing

    Navnidhi K. Upadhyay;Hao Jiang;Zhongrui Wang;Shiva Asapu

  • An artificial nociceptor based on a diffusive memristor.

    Jung Ho Yoon;Zhongrui Wang;Kyung Min Kim;Huaqiang Wu

  • Thousands of conductance levels in memristors integrated on CMOS

    Unknown

  • Understanding memristive switching via in situ characterization and device modeling.

    Wen Sun;Wen Sun;Wen Sun;Bin Gao;Miaofang Chi;Qiangfei Xia

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

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

  • Black Phosphorus Radio-Frequency Transistors

    Han Wang;Xiaomu Wang;Fengnian Xia;Luhao Wang

  • Long short-term memory networks in memristor crossbars

    Can Li;Zhongrui Wang;Mingyi Rao;Daniel Belkin

  • Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

    Fuxi Cai;Fuxi Cai;Suhas Kumar;Thomas Van Vaerenbergh;Xia Sheng

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

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

  • Long short-term memory networks in memristor crossbar arrays

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

  • Threshold Switching of Ag or Cu in Dielectrics: Materials, Mechanism, and Applications

    Zhongrui Wang;Mingyi Rao;Rivu Midya;Saumil Joshi

  • Efficient electrical control of thin-film black phosphorus bandgap.

    Bingchen Deng;Vy Tran;Yujun Xie;Hao Jiang

Frequent Co-Authors

J. Joshua Yang
J. Joshua Yang University of Southern California
R. Stanley Williams
R. Stanley Williams Texas A&M University
Qing Wu
Qing Wu United States Air Force Research Laboratory
Wei Wu
Wei Wu Wuhan University
Stephen Y. Chou
Stephen Y. Chou Princeton University
Ning Ge
Ning Ge Tsinghua University
Zhiyong Li
Zhiyong Li Chinese Academy of Sciences
Huaqiang Wu
Huaqiang Wu Tsinghua University
Han Wang
Han Wang University of Southern California
Fengnian Xia
Fengnian Xia Yale University

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