World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
15086
World Ranking
1724
National Ranking
287

Overview

Qing Wan is affiliated with Nanjing University in China and conducts research primarily in the field of engineering, with a focus on electrical and electronic engineering. Their body of work includes investigations spanning multiple subfields such as cellular and molecular neuroscience, biomedical engineering, materials chemistry, and artificial intelligence.

The scientist's research covers topics including advanced memory and neural computing, neuroscience and neural engineering, photoreceptor and optogenetics research, ferroelectric and negative capacitance devices, neural networks and reservoir computing, nanoplatforms for cancer theranostics, and neural dynamics and brain function.

Qing Wan has contributed to several recent papers, including:

  • Smartphone-Based Electrochemical Immunoassay for Point-of-Care Detection of SARS-CoV-2 Nucleocapsid Protein, 2022, Analytical Chemistry
  • Flexible Vertical Photogating Transistor Network with an Ultrashort Channel for In-Sensor Visual Nociceptor, 2021, Advanced Functional Materials
  • A Photoelectric Spiking Neuron for Visual Depth Perception, 2022, Advanced Materials
  • Indium-gallium-zinc-oxide thin-film transistors: Materials, devices, and applications, 2021, Journal of Semiconductors
  • Recent Progress on Emerging Transistor-Based Neuromorphic Devices, 2021, Advanced Intelligent Systems

Frequent collaborators include Chunsheng Chen, Li Zhu, Changjin Wan, Ying Zhu, and Yongli He. These coauthors have worked with Qing Wan on numerous publications, with collaboration counts ranging around 15 to 19 joint works.

The scientist publishes often in established venues such as IEEE Transactions on Electron Devices, IEEE Electron Device Letters, Advanced Materials, Journal of Physics D Applied Physics, and the Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022).

Best Publications

  • Fabrication and ethanol sensing characteristics of ZnO nanowire gas sensors

    Q. Wan;Q. H. Li;Y. J. Chen;T. H. Wang

  • Artificial synapse network on inorganic proton conductor for neuromorphic systems

    Li Qiang Zhu;Chang Jin Wan;Li Qiang Guo;Yi Shi

  • A MoS 2 /PTCDA Hybrid Heterojunction Synapse with Efficient Photoelectric Dual Modulation and Versatility

    Shuiyuan Wang;Chunsheng Chen;Zhihao Yu;Yongli He

  • Freestanding Artificial Synapses Based on Laterally Proton‐Coupled Transistors on Chitosan Membranes

    Yang Hui Liu;Yang Hui Liu;Li Qiang Zhu;Li Qiang Zhu;Ping Feng;Yi Shi

  • An Artificial Sensory Neuron with Tactile Perceptual Learning.

    Changjin Wan;Geng Chen;Yangming Fu;Ming Wang

  • Low-field electron emission from tetrapod-like ZnO nanostructures synthesized by rapid evaporation

    Q. Wan;K. Yu;T. H. Wang;C. L. Lin

  • Fully transparent thin-film transistor devices based on SnO2 nanowires.

    Eric N. Dattoli;Qing Wan;Wei Guo;Yanbin Chen

  • Electronic transport through individual ZnO nanowires

    Q. H. Li;Q. Wan;Y. X. Liang;T. H. Wang

  • Contact-controlled sensing properties of flowerlike ZnO nanostructures

    P. Feng;Q. Wan;T. H. Wang

  • 2D MoS 2 Neuromorphic Devices for Brain-Like Computational Systems.

    Jie Jiang;Junjie Guo;Xiang Wan;Xiang Wan;Yi Yang;Yi Yang

  • 2D electric-double-layer phototransistor for photoelectronic and spatiotemporal hybrid neuromorphic integration

    Jie Jiang;Wennan Hu;Dingdong Xie;Junliang Yang

  • Proton-Conducting Graphene Oxide-Coupled Neuron Transistors for Brain-Inspired Cognitive Systems.

    Chang Jin Wan;Chang Jin Wan;Li Qiang Zhu;Yang Hui Liu;Ping Feng

  • Electric-double-layer transistors for synaptic devices and neuromorphic systems

    Yongli He;Yi Yang;Sha Nie;Rui Liu

  • A light-stimulated synaptic device based on graphene hybrid phototransistor

    Shuchao Qin;Fengqiu Wang;Yujie Liu;Qing Wan

  • Spatiotemporal Information Processing Emulated by Multiterminal Neuro-Transistor Networks.

    Yongli He;Sha Nie;Rui Liu;Shanshan Jiang

  • Artificial Synapses Based on in-Plane Gate Organic Electrochemical Transistors

    Chuan Qian;Jia Sun;Ling-an Kong;Guangyang Gou

  • Printed Neuromorphic Devices Based on Printed Carbon Nanotube Thin-Film Transistors

    Ping Feng;Weiwei Xu;Yi Yang;Xiang Wan

  • Transparent metallic Sb-doped SnO2 nanowires

    Qing Wan;Eric N. Dattoli;Wei Lu

  • integrations and challenges of novel high-k gate stacks in advanced cmos technology

    Gang He;Gang He;Liqiang Zhu;Zhaoqi Sun;Qing Wan

  • A Sub-10 nm Vertical Organic/Inorganic Hybrid Transistor for Pain-Perceptual and Sensitization-Regulated Nociceptor Emulation.

    Guangdi Feng;Jie Jiang;Yuhang Zhao;Shitan Wang

  • Flexible Metal Oxide/Graphene Oxide Hybrid Neuromorphic Transistors on Flexible Conducting Graphene Substrates.

    Chang Jin Wan;Chang Jin Wan;Yang Hui Liu;Ping Feng;Wei Wang;Wei Wang

  • Energy-Efficient Artificial Synapses Based on Flexible IGZO Electric-Double-Layer Transistors

    Jumei Zhou;Ning Liu;Liqiang Zhu;Yi Shi

  • Artificial Synaptic Devices Based on Natural Chicken Albumen Coupled Electric-Double-Layer Transistors

    Guodong Wu;Ping Feng;Xiang Wan;Liqiang Zhu

  • Flexible Vertical Photogating Transistor Network with an Ultrashort Channel for In-Sensor Visual Nociceptor

    Guangdi Feng;Guangdi Feng;Jie Jiang;Yanran Li;Dingdong Xie

  • Organic synaptic devices for neuromorphic systems

    Jia Sun;Ying Fu;Qing Wan

  • Flexible Neuromorphic Architectures Based on Self-Supported Multiterminal Organic Transistors.

    Ying Fu;Ling-an Kong;Yang Chen;Juxiang Wang

  • Long-Term Synaptic Plasticity Emulated in Modified Graphene Oxide Electrolyte Gated IZO-Based Thin-Film Transistors

    Yi Yang;Juan Wen;Liqiang Guo;Xiang Wan

  • Gas Sensors Based on Semiconducting Nanowire Field-Effect Transistors

    Ping Feng;Feng Shao;Yi Shi;Qing Wan

  • Light Stimulated IGZO-Based Electric-Double-Layer Transistors For Photoelectric Neuromorphic Devices

    Yi Yang;Yongli He;Sha Nie;Yi Shi

Frequent Co-Authors

Yi Shi
Yi Shi Nanjing University
Li Qiang Zhu
Li Qiang Zhu Ningbo University
Yongli Gao
Yongli Gao University of Rochester
Junliang Yang
Junliang Yang Central South University
Jie Jiang
Jie Jiang Central South University
Lijia Pan
Lijia Pan Nanjing University
Xinran Wang
Xinran Wang Nanjing University
Jia Sun
Jia Sun Central South University
Xiaodong Chen
Xiaodong Chen Nanyang Technological University
Jeong Ho Cho
Jeong Ho Cho Yonsei University

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