What is he best known for?
The fields of study Qiangfei Xia is best known for:
- Semiconductor
- CMOS
- Transistor
His work on Optoelectronics is typically connected to Band gap as part of general Photonics study, connecting several disciplines of science.
His Optoelectronics study frequently draws connections between adjacent fields such as Band gap, Photonics and Black phosphorus.
His multidisciplinary approach integrates Memristor and Memistor in his work.
Qiangfei Xia performs multidisciplinary study on Memistor and Resistive random-access memory in his works.
While working on this project, he studies both Resistive random-access memory and Memristor.
Qiangfei Xia undertakes interdisciplinary study in the fields of Electrical engineering and Nanotechnology through his research.
Qiangfei Xia undertakes interdisciplinary study in the fields of Nanotechnology and Electrical engineering through his research.
In his works, he conducts interdisciplinary research on Artificial intelligence and Deep learning.
Qiangfei Xia conducts interdisciplinary study in the fields of Deep learning and Artificial intelligence through his works.
His most cited work include:
- Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing (1434 citations)
- Memristive crossbar arrays for brain-inspired computing (820 citations)
- Analogue signal and image processing with large memristor crossbars (718 citations)
What are the main themes of his work throughout his whole career to date
His work on Nanotechnology is being expanded to include thematically relevant topics such as Layer (electronics).
His Nanotechnology research extends to the thematically linked field of Layer (electronics).
He conducted interdisciplinary study in his works that combined Optoelectronics and Optics.
Qiangfei Xia conducts interdisciplinary study in the fields of Optics and Optoelectronics through his works.
Memristor and Quantum mechanics are commonly linked in his work.
Quantum mechanics is closely attributed to Memristor in his work.
Electrical engineering is closely attributed to Voltage in his work.
The study of Voltage is intertwined with the study of Resistive random-access memory in a number of ways.
His Electrical engineering research extends to the thematically linked field of Resistive random-access memory.
Qiangfei Xia most often published in these fields:
- Nanotechnology (61.46%)
- Optoelectronics (53.12%)
- Memristor (47.92%)
What were the highlights of his more recent work (between 2019-2022)?
- Memristor (72.73%)
- Electrical engineering (72.73%)
- Artificial intelligence (63.64%)
In recent works Qiangfei Xia was focusing on the following fields of study:
Qiangfei Xia focuses mostly in the field of Dimension (graph theory), narrowing it down to topics relating to Pure mathematics and, in certain cases, Field (mathematics) and Von Neumann architecture.
He frequently studies issues relating to Pure mathematics and Field (mathematics).
Qiangfei Xia connects relevant research areas such as CMOS and Quantum tunnelling in the domain of Optoelectronics.
His CMOS study frequently draws connections to adjacent fields such as Optoelectronics.
His study on Neuroscience is interrelated to topics such as Afferent and Neuroprosthetics.
His Afferent study frequently links to adjacent areas such as Neuroscience.
His work often combines Memristor and Resistor studies.
His multidisciplinary approach integrates Resistor and Memristor in his work.
His research brings together the fields of Efficient energy use and Electrical engineering.
Between 2019 and 2022, his most popular works were:
- Resistive switching materials for information processing (494 citations)
- Three-dimensional memristor circuits as complex neural networks (176 citations)
- An artificial spiking afferent nerve based on Mott memristors for neurorobotics (162 citations)
In his most recent research, the most cited works focused on:
- Operating system
- Neuromorphic engineering
- Electrical engineering
His Neuroscience study has been linked to subjects such as Neuroprosthetics and Afferent.
Afferent is closely attributed to Neuroscience in his research.
In most of his Electrical engineering studies, his work intersects topics such as Resistive touchscreen.
As part of his studies on Resistive touchscreen, Qiangfei Xia often connects relevant subjects like Electrical engineering.
He conducts interdisciplinary study in the fields of Artificial neural network and Neuromorphic engineering through his works.
In his works, he performs multidisciplinary study on Neuromorphic engineering and Spiking neural network.
Qiangfei Xia combines Spiking neural network and Artificial neural network in his research.
Qiangfei Xia merges Electronic engineering with Memristor in his study.
Qiangfei Xia integrates Memristor with Electronic engineering in his study.
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