What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Nanotechnology
His primary scientific interests are in Nanotechnology, Carbon nanotube, Nanotube, Characterization and Nanoelectromechanical systems.
His Nanotechnology research integrates issues from Young's modulus and Electromagnetic coil.
As part of the same scientific family, he usually focuses on Carbon nanotube, concentrating on Electron beam-induced deposition and intersecting with Clamping, Nano-, van der Waals force and Electron-beam lithography.
His biological study spans a wide range of topics, including Optoelectronics and Actuator.
As a part of the same scientific study, Lixin Dong usually deals with the Characterization, concentrating on Nanomanufacturing and frequently concerns with Potential applications of carbon nanotubes, Nanoelectronics, Scanning probe microscopy, Robot and Nanorobotics.
Lixin Dong has researched Nanostructure in several fields, including Biasing and Microfabrication.
His most cited work include:
- Observation of Electron-Antineutrino Disappearance at Daya Bay (1790 citations)
- Artificial bacterial flagella: Fabrication and magnetic control (742 citations)
- How Should Microrobots Swim (419 citations)
What are the main themes of his work throughout his whole career to date?
Lixin Dong mainly investigates Nanotechnology, Carbon nanotube, Optoelectronics, Nanotube and Nanoelectromechanical systems.
His biological study spans a wide range of topics, including Nanolithography, Nano- and Scanning electron microscope.
His work deals with themes such as Dielectrophoresis, Transmission electron microscopy, Field electron emission and Electron beam-induced deposition, which intersect with Carbon nanotube.
The various areas that Lixin Dong examines in his Optoelectronics study include Optical microscope and Voltage.
Lixin Dong combines subjects such as Lithography, Actuator, Electron-beam lithography and Heat sink with his study of Nanotube.
The Nanostructure study combines topics in areas such as Optics and Microfabrication.
He most often published in these fields:
- Nanotechnology (65.24%)
- Carbon nanotube (42.06%)
- Optoelectronics (24.46%)
What were the highlights of his more recent work (between 2016-2021)?
- Optoelectronics (24.46%)
- Photodetector (3.86%)
- Nanotechnology (65.24%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Optoelectronics, Photodetector, Nanotechnology, Artificial intelligence and Photocurrent.
Lixin Dong interconnects Field electron emission and Multistability in the investigation of issues within Optoelectronics.
His research integrates issues of Thin film, Infrared and Laser in his study of Photodetector.
His Nanotechnology research includes elements of Soldering and Environmental scanning electron microscope.
While the research belongs to areas of Artificial intelligence, Lixin Dong spends his time largely on the problem of Computer vision, intersecting his research to questions surrounding Baseline.
His Photocurrent study also includes fields such as
- Photoconductivity which is related to area like Photothermal effect, Photothermal therapy, Electron mobility, Thermal conductivity and Transistor,
- Photovoltaic effect which intersects with area such as Far-infrared laser, Bolometer, Detector, Photodiode and Field-effect transistor.
Between 2016 and 2021, his most popular works were:
- Reconfigurable magnetic microrobot swarm: Multimode transformation, locomotion, and manipulation. (134 citations)
- Reconfigurable magnetic microrobot swarm: Multimode transformation, locomotion, and manipulation. (134 citations)
- Photothermal Effect Induced Negative Photoconductivity and High Responsivity in Flexible Black Phosphorus Transistors (53 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Electron
Optoelectronics, Photodetector, Chirality, Ranging and Vortex are his primary areas of study.
His research in Optoelectronics intersects with topics in Nanotechnology and Multistability.
His work on Responsivity as part of general Photodetector study is frequently connected to Shot noise, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Responsivity research is multidisciplinary, incorporating perspectives in Layer and Near-infrared spectroscopy.
His Chirality research is multidisciplinary, relying on both Swarm behaviour, Living systems and Topology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
