What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- Control theory
Dong Sun mainly investigates Control theory, Control theory, Control engineering, Robot and Mobile robot.
His Control theory research is multidisciplinary, incorporating elements of Vibration and Motion control.
His biological study spans a wide range of topics, including Control, Position, Trajectory and Synchronization.
His research investigates the connection between Control engineering and topics such as Nonlinear system that intersect with issues in Control system, Disturbance and Differentiator.
His study in the field of Robot kinematics and Robot end effector is also linked to topics like Process.
His work carried out in the field of Mobile robot brings together such families of science as Bounded function and Motion planning.
His most cited work include:
- Ultrafast Relaxation of Excited Dirac Fermions in Epitaxial Graphene Using Optical Differential Transmission Spectroscopy (364 citations)
- Ultrafast hot-carrier-dominated photocurrent in graphene (294 citations)
- Enhanced cell sorting and manipulation with combined optical tweezer and microfluidic chip technologies (254 citations)
What are the main themes of his work throughout his whole career to date?
Dong Sun spends much of his time researching Control theory, Control engineering, Robot, Control theory and Optical tweezers.
His research in Control theory intersects with topics in Position and Motion control.
His Control engineering research is multidisciplinary, incorporating elements of Control, Motion planning, Robustness and Nonlinear system.
Artificial intelligence covers Dong Sun research in Robot.
His research combines Synchronization and Control theory.
His research integrates issues of Cell, Tweezers, Nanotechnology and Holography in his study of Optical tweezers.
He most often published in these fields:
- Control theory (26.57%)
- Control engineering (20.28%)
- Robot (19.58%)
What were the highlights of his more recent work (between 2016-2021)?
- Optoelectronics (9.79%)
- Condensed matter physics (8.22%)
- Control theory (15.91%)
In recent papers he was focusing on the following fields of study:
Dong Sun mainly focuses on Optoelectronics, Condensed matter physics, Control theory, Weyl semimetal and Cell.
His Optoelectronics study incorporates themes from Electric field and Detector.
His research in Condensed matter physics intersects with topics in Polarization, Excitation and Anisotropy.
Dong Sun is doing genetic studies as part of his Control theory and Control engineering and Control theory investigations.
His work investigates the relationship between Control engineering and topics such as Robotics that intersect with problems in Nanotechnology.
His Optical tweezers research incorporates elements of Position, Artificial intelligence and Holography.
Between 2016 and 2021, his most popular works were:
- Development of a magnetic microrobot for carrying and delivering targeted cells (89 citations)
- Flexible Fiber-Shaped Supercapacitor Based on Nickel-Cobalt Double Hydroxide and Pen Ink Electrodes on Metallized Carbon Fiber. (85 citations)
- Ultrafast Broadband Photodetectors Based on Three-Dimensional Dirac Semimetal Cd 3 AS 2 (83 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- Electrical engineering
His scientific interests lie mostly in Optoelectronics, Cell, Photodetector, Robot and Nanotechnology.
The various areas that Dong Sun examines in his Optoelectronics study include Monolayer, Graphene and Energy storage.
The study incorporates disciplines such as Cancer cell, Biophysics, Immune system and Cell biology in addition to Cell.
His Robot research incorporates themes from Control engineering, Feedback control and Optical tweezers.
The concepts of his Nanotechnology study are interwoven with issues in Annealing, Metal and Molybdenum.
His Control theory study is concerned with the field of Control theory as a whole.
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.
