World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
24287
World Ranking
839
National Ranking
140

Huaqiang Wu 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 Huaqiang Wu 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: 300 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Huaqiang Wu 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 Huaqiang Wu 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Huaqiang Wu is a researcher affiliated with Tsinghua University in China. Their work primarily focuses on the field of Engineering, with a strong emphasis on Electrical and Electronic Engineering.

Their research spans multiple specialized subfields, including:

  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Materials Chemistry

Within these areas, the main topics covered in their publications include:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Neuroscience and Neural Engineering
  • Semiconductor materials and devices
  • CCD and CMOS Imaging Sensors
  • Neural Networks and Reservoir Computing
  • Neural dynamics and brain function

Huaqiang Wu has contributed to numerous publications in a variety of scientific venues. They have frequently published in the following journals and platforms:

  • IEEE Transactions on Electron Devices
  • Nature Communications
  • Nature Electronics
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)

Their recent papers illustrate a focus on memristor technology, memory devices, and neuromorphic computing. Selected recent publications include:

  • Fully hardware-implemented memristor convolutional neural network, 2020, Nature
  • Resistive switching materials for information processing, 2020, Nature Reviews Materials
  • Neuro-inspired computing chips, 2020, Nature Electronics
  • A compute-in-memory chip based on resistive random-access memory, 2022, Nature
  • Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing, 2021, Nature Communications

They have collaborated extensively with a number of coauthors, including:

  • Bin Gao
  • Jianshi Tang
  • He Qian
  • Peng Yao
  • Qingtian Zhang

Best Publications

  • Fully hardware-implemented memristor convolutional neural network

    Peng Yao;Huaqiang Wu;Bin Gao;Jianshi Tang

  • 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

  • Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

    Tiankuang Zhou;Xing Lin;Jiamin Wu;Yitong Chen

  • Towards artificial general intelligence with hybrid Tianjic chip architecture.

    Jing Pei;Lei Deng;Sen Song;Sen Song;Mingguo Zhao

  • Face classification using electronic synapses

    Peng Yao;Huaqiang Wu;Bin Gao;Sukru Burc Eryilmaz

  • Neuro-inspired computing chips

    Wenqiang Zhang;Bin Gao;Jianshi Tang;Peng Yao

  • Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges.

    Jianshi Tang;Fang Yuan;Xinke Shen;Zhongrui Wang

  • Recommended Methods to Study Resistive Switching Devices

    Mario Lanza;H.-S. Philip Wong;Eric Pop;Daniele Ielmini

  • Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing.

    Yanan Zhong;Jianshi Tang;Xinyi Li;Bin Gao

  • An artificial nociceptor based on a diffusive memristor.

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

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

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

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

    Zhongrui Wang;Mingyi Rao;Rivu Midya;Saumil Joshi

  • Reliability of analog resistive switching memory for neuromorphic computing

    Meiran Zhao;Bin Gao;Jianshi Tang;He Qian

  • 33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing

    Qi Liu;Bin Gao;Peng Yao;Dong Wu

  • Graphene Oxide Quantum Dots Based Memristors with Progressive Conduction Tuning for Artificial Synaptic Learning

    Xiaobing Yan;Xiaobing Yan;Lei Zhang;Huawei Chen;Xiaoyan 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

  • Improving Analog Switching in HfO x -Based Resistive Memory With a Thermal Enhanced Layer

    Wei Wu;Huaqiang Wu;Bin Gao;Ning Deng

  • Synthesis and characterization of vertically standing MoS2 nanosheets.

    Han Li;Huaqiang Wu;Shuoguo Yuan;He Qian

  • Alloying conducting channels for reliable neuromorphic computing

    Hanwool Yeon;Peng Lin;Chanyeol Choi;Scott H. Tan

  • Memory materials and devices: From concept to application

    Zhenhan Zhang;Zongwei Wang;Tuo Shi;Chong Bi

  • Power-efficient neural network with artificial dendrites.

    Xinyi Li;Jianshi Tang;Qingtian Zhang;Bin Gao

Frequent Co-Authors

He Qian
He Qian Tsinghua University
Bin Gao
Bin Gao Xi'an Jiaotong University
Jianshi Tang
Jianshi Tang Tsinghua University
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Michael G. Spencer
Michael G. Spencer Cornell University
J. Joshua Yang
J. Joshua Yang University of Southern California
Feng Xu
Feng Xu Xi'an Jiaotong University
Jinfeng Kang
Jinfeng Kang Peking University
Qiangfei Xia
Qiangfei Xia University of Massachusetts Amherst
Meng-Fan Chang
Meng-Fan Chang National Tsing Hua University

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