What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electron
- Semiconductor
Lian-Mao Peng mostly deals with Nanotechnology, Optoelectronics, Carbon nanotube, Graphene and Transistor.
His Nanotechnology research integrates issues from Field-effect transistor, Solar cell and Semiconductor.
His Optoelectronics research includes themes of Electrode and Raman spectroscopy.
His Carbon nanotube research is multidisciplinary, relying on both Ohmic contact and Doping.
The concepts of his Graphene study are interwoven with issues in Capacitance, Carbon, Chemical vapor deposition and Gate oxide.
His Transistor research includes elements of Electronics, CMOS, Silicon and Integrated circuit.
His most cited work include:
- Microwave Absorption Enhancement and Complex Permittivity and Permeability of Fe Encapsulated within Carbon Nanotubes (1222 citations)
- CdS quantum dots sensitized TiO2 nanotube-array photoelectrodes. (961 citations)
- Repeated growth and bubbling transfer of graphene with millimetre-size single-crystal grains using platinum (828 citations)
What are the main themes of his work throughout his whole career to date?
Lian-Mao Peng focuses on Optoelectronics, Nanotechnology, Carbon nanotube, Transistor and Graphene.
His Optoelectronics study incorporates themes from Field-effect transistor, Electronic circuit and Electrode.
His Electron mobility research extends to Nanotechnology, which is thematically connected.
His Carbon nanotube research is multidisciplinary, incorporating perspectives in Electron, Field electron emission, Diode and Electronics.
The Transistor study combines topics in areas such as CMOS and Ambipolar diffusion.
His study brings together the fields of Chemical vapor deposition and Graphene.
He most often published in these fields:
- Optoelectronics (42.14%)
- Nanotechnology (42.74%)
- Carbon nanotube (41.73%)
What were the highlights of his more recent work (between 2016-2021)?
- Optoelectronics (42.14%)
- Carbon nanotube (41.73%)
- Transistor (19.76%)
In recent papers he was focusing on the following fields of study:
Lian-Mao Peng spends much of his time researching Optoelectronics, Carbon nanotube, Transistor, Integrated circuit and Nanotechnology.
His research integrates issues of Electronic circuit, Transconductance, Electrode, Voltage and Graphene in his study of Optoelectronics.
His Carbon nanotube study combines topics from a wide range of disciplines, such as Wafer, Thin-film transistor, Field-effect transistor, Thin film and Electronics.
His Transistor research is multidisciplinary, incorporating elements of Electron mobility, Silicon, Semiconductor, Nanotube and CMOS.
His Integrated circuit study integrates concerns from other disciplines, such as Flexible electronics, Core, Density of states and Ambipolar diffusion.
He regularly links together related areas like Electron in his Nanotechnology studies.
Between 2016 and 2021, his most popular works were:
- Scaling carbon nanotube complementary transistors to 5-nm gate lengths (262 citations)
- Superlubricity between MoS2 Monolayers. (91 citations)
- Dirac-source field-effect transistors as energy-efficient, high-performance electronic switches (82 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electron
- Semiconductor
His primary areas of study are Optoelectronics, Carbon nanotube, Integrated circuit, Transistor and Nanotechnology.
His Optoelectronics study combines topics in areas such as Field-effect transistor, Substrate, Thermionic emission and Graphene.
His Carbon nanotube research focuses on Transconductance and how it relates to Micrometre, Subthreshold swing and Digital integrated circuits.
His studies in Integrated circuit integrate themes in fields like Dynamic demand, Electron mobility, Flexible electronics, Nanotube and Current density.
His work deals with themes such as CMOS, Inverter, Silicon and Electronics, which intersect with Transistor.
His Nanotechnology research integrates issues from Friction coefficient, Microstructure and Pressure sensor.
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