What is he best known for?
The fields of study he is best known for:
- Semiconductor
- Electrical engineering
- Transistor
Qing Wan mainly focuses on Neuromorphic engineering, Transistor, Nanotechnology, Optoelectronics and Modulation.
His study in Neuromorphic engineering is interdisciplinary in nature, drawing from both Electronic engineering and Carbon nanotube.
His Transistor study combines topics from a wide range of disciplines, such as Synapse, Printed electronics, Electronics and Thin-film transistor.
His work in the fields of Graphene and Flexible electronics overlaps with other areas such as Cognitive systems and Oxide.
His Optoelectronics research includes elements of AND gate and Electrochemical doping.
The concepts of his Modulation study are interwoven with issues in Postsynaptic Current, Excitatory postsynaptic potential and Organic semiconductor.
His most cited work include:
- Freestanding Artificial Synapses Based on Laterally Proton‐Coupled Transistors on Chitosan Membranes (182 citations)
- A MoS2 /PTCDA Hybrid Heterojunction Synapse with Efficient Photoelectric Dual Modulation and Versatility. (121 citations)
- An Artificial Sensory Neuron with Tactile Perceptual Learning. (120 citations)
What are the main themes of his work throughout his whole career to date?
Qing Wan spends much of his time researching Transistor, Neuromorphic engineering, Optoelectronics, Nanotechnology and Thin-film transistor.
He integrates many fields in his works, including Transistor and Oxide.
His Neuromorphic engineering study combines topics in areas such as Electronic engineering, Excitatory postsynaptic potential and Modulation.
His research in Optoelectronics intersects with topics in Low voltage, Voltage, Layer and Gate dielectric.
His studies deal with areas such as Synaptic weight and Indium as well as Nanotechnology.
Qing Wan focuses mostly in the field of Thin-film transistor, narrowing it down to topics relating to Flexible electronics and, in certain cases, Substrate and Motion detector.
He most often published in these fields:
- Transistor (98.96%)
- Neuromorphic engineering (69.79%)
- Optoelectronics (66.67%)
What were the highlights of his more recent work (between 2019-2021)?
- Transistor (98.96%)
- Neuromorphic engineering (69.79%)
- Optoelectronics (66.67%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Transistor, Neuromorphic engineering, Optoelectronics, Modulation and Logic gate.
The Dual gate research Qing Wan does as part of his general Transistor study is frequently linked to other disciplines of science, such as Proton, therefore creating a link between diverse domains of science.
He has included themes like Sensory system and Electrical engineering in his Neuromorphic engineering study.
His research in the fields of Schottky barrier overlaps with other disciplines such as Oxide.
Qing Wan focuses mostly in the field of Modulation, narrowing it down to matters related to Thin-film transistor and, in some cases, Schottky diode and Synaptic weight.
His research integrates issues of Solution processed, Nanotechnology, Graphene and Schmitt trigger in his study of Electrolyte.
Between 2019 and 2021, his most popular works were:
- A Sub-10 nm Vertical Organic/Inorganic Hybrid Transistor for Pain-Perceptual and Sensitization-Regulated Nociceptor Emulation. (28 citations)
- IGZO-based floating-gate synaptic transistors for neuromorphic computing (9 citations)
- Solution-Processed, Electrolyte-Gated In2O3 Flexible Synaptic Transistors for Brain-Inspired Neuromorphic Applications. (8 citations)
In his most recent research, the most cited papers focused on:
- Semiconductor
- Electrical engineering
- Transistor
Qing Wan spends much of his time researching Neuromorphic engineering, Transistor, Electrical engineering, Electrolyte and Long-term memory.
He studies Transistor, focusing on Gate dielectric in particular.
His Gate dielectric research is multidisciplinary, incorporating perspectives in Optoelectronics and Sensory system.
The Electrolyte study combines topics in areas such as Solution processed and Nanotechnology.
His work carried out in the field of Voltage brings together such families of science as Synapse and Sensory neuron.
His study deals with a combination of Threshold of pain and Nociceptor.
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