World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
13090
World Ranking
2494
National Ranking
415

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
Tsung-Ming Tsai
Tsung-Ming Tsai National Sun Yat-sen University
Pui-In Mak
Pui-In Mak University of Macau
J. Joshua Yang
J. Joshua Yang University of Southern California

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