World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
24312
World Ranking
1333
National Ranking
552

Qiangfei Xia publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Qiangfei Xia sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 164 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Qiangfei Xia D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Qiangfei Xia sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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
John Paul Strachan
John Paul Strachan Hewlett-Packard (United States)
Stephen Y. Chou
Stephen Y. Chou Princeton University
Miao Hu
Miao Hu Binghamton University
Ning Ge
Ning Ge Tsinghua University
Huaqiang Wu
Huaqiang Wu Tsinghua University
Zhiyong Li
Zhiyong Li Chinese Academy of Sciences

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