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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
13090
World Ranking
2494
National Ranking
416

He Qian 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 He Qian 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: 250 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

He Qian 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 He Qian 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: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

He Qian is affiliated with Tsinghua University in China and has contributed extensively to the field of engineering, particularly within electrical and electronic engineering. Their research spans several interconnected disciplines including cellular and molecular neuroscience, artificial intelligence, cognitive neuroscience, and materials chemistry.

The primary focus of He Qian's work lies in advanced memory and neural computing, ferroelectric and negative capacitance devices, semiconductor materials and devices, neuroscience and neural engineering, neural dynamics and brain function, neural networks and reservoir computing, and CCD and CMOS imaging sensors.

He Qian has published notable papers, including:

  • Fully hardware-implemented memristor convolutional neural network (2020, Nature)
  • 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)
  • Reliability of analog resistive switching memory for neuromorphic computing (2020, Applied Physics Reviews)

The frequent co-authors collaborating with He Qian include:

  • Bin Gao
  • Huaqiang Wu
  • Jianshi Tang
  • Peng Yao
  • Qingtian Zhang

He Qian has published regularly in several prominent venues such as:

  • IEEE Transactions on Electron Devices
  • Nature Communications
  • Nature Electronics
  • arXiv (Cornell University)
  • Advanced Materials

Best Publications

  • Fully hardware-implemented memristor convolutional neural network

    Peng Yao;Huaqiang Wu;Bin Gao;Jianshi Tang

  • 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

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

    Yanan Zhong;Jianshi Tang;Xinyi Li;Bin Gao

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

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

  • 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

  • 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

  • Power-efficient neural network with artificial dendrites.

    Xinyi Li;Jianshi Tang;Qingtian Zhang;Bin Gao

  • Binary neural network with 16 Mb RRAM macro chip for classification and online training

    Shimeng Yu;Zhiwei Li;Pai-Yu Chen;Huaqiang Wu

  • A Methodology to Improve Linearity of Analog RRAM for Neuromorphic Computing

    Wei Wu;Huaqiang Wu;Bin Gao;Peng Yao

  • In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective

    Yue Xi;Bin Gao;Jianshi Tang;An Chen

  • Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces

    Zhengwu Liu;Jianshi Tang;Bin Gao;Peng Yao

  • A Threshold Switching Selector Based on Highly Ordered Ag Nanodots for X-Point Memory Applications.

    Qilin Hua;Huaqiang Wu;Bin Gao;Meiran Zhao

  • Experimental Characterization of Physical Unclonable Function Based on 1 kb Resistive Random Access Memory Arrays

    Rui Liu;Huaqiang Wu;Yachuan Pang;He Qian

  • Study of Multi-level Characteristics for 3D Vertical Resistive Switching Memory

    Yue Bai;Huaqiang Wu;Riga Wu;Ye Zhang

  • Metallic to hopping conduction transition in Ta2O5−x/TaOy resistive switching device

    Ye Zhang;Ning Deng;Huaqiang Wu;Zhiping Yu

Frequent Co-Authors

Huaqiang Wu
Huaqiang Wu Tsinghua University
Bin Gao
Bin Gao Xi'an Jiaotong University
Jianshi Tang
Jianshi Tang Tsinghua University
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Jinfeng Kang
Jinfeng Kang Peking University
Meng-Fan Chang
Meng-Fan Chang National Tsing Hua University
Ting-Chang Chang
Ting-Chang Chang National Sun Yat-sen University
Kuan-Chang Chang
Kuan-Chang Chang Peking University
Tsung-Ming Tsai
Tsung-Ming Tsai National Sun Yat-sen University
Pui-In Mak
Pui-In Mak University of Macau

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