What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Gene
- Mechanical engineering
His scientific interests lie mostly in Nanotechnology, Biomedical engineering, Microelectromechanical systems, Artificial intelligence and Computer vision.
His Nanotechnology course of study focuses on Nano- and Material synthesis, Electronics, Screen printing and Surface coating.
His work on Tissue engineering as part of his general Biomedical engineering study is frequently connected to Transit time, thereby bridging the divide between different branches of science.
His studies in Microelectromechanical systems integrate themes in fields like Control system, Capacitive sensing, Microscale chemistry, Grippers and Haptic technology.
His research integrates issues of Pipette and Simulation in his study of Artificial intelligence.
His Computer vision research incorporates elements of Focus, Target surface, Robustness and Microscopy.
His most cited work include:
- Autofocusing in computer microscopy: selecting the optimal focus algorithm. (318 citations)
- Monolithically Fabricated Microgripper With Integrated Force Sensor for Manipulating Microobjects and Biological Cells Aligned in an Ultrasonic Field (313 citations)
- Microengineered Platforms for Cell Mechanobiology (301 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Nanotechnology, Biomedical engineering, Computer vision and Microelectromechanical systems.
His study in Artificial intelligence concentrates on Robot, Robotics, Deep learning, Motion and Visual servoing.
His Robot research is multidisciplinary, incorporating elements of Task and Human–computer interaction.
His Nanotechnology study integrates concerns from other disciplines, such as Optoelectronics, Scanning electron microscope and Microfabrication.
His studies deal with areas such as Cell, Pipette and Self-healing hydrogels as well as Biomedical engineering.
His Microelectromechanical systems research includes themes of Actuator, Microactuator, Capacitive sensing and Electronic engineering, Linearity.
He most often published in these fields:
- Artificial intelligence (27.64%)
- Nanotechnology (19.54%)
- Biomedical engineering (19.19%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (27.64%)
- Robot (10.56%)
- Biomedical engineering (19.19%)
In recent papers he was focusing on the following fields of study:
Yu Sun focuses on Artificial intelligence, Robot, Biomedical engineering, Computer vision and Robotics.
Yu Sun works mostly in the field of Artificial intelligence, limiting it down to topics relating to Graph and, in certain cases, Object-oriented programming, as a part of the same area of interest.
His research investigates the connection between Robot and topics such as Human–computer interaction that intersect with problems in Task.
Yu Sun combines subjects such as Sperm and Self-healing hydrogels with his study of Biomedical engineering.
Many of his studies on Computer vision apply to Industrial robot as well.
His Robotics research incorporates themes from Control and Motion planning.
Between 2017 and 2021, his most popular works were:
- A Feedforward Mechanism Mediated by Mechanosensitive Ion Channel PIEZO1 and Tissue Mechanics Promotes Glioma Aggression. (63 citations)
- A review of microfluidic approaches for investigating cancer extravasation during metastasis (60 citations)
- An autoantibody identifies arrhythmogenic right ventricular cardiomyopathy and participates in its pathogenesis. (54 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Gene
- Mechanical engineering
Artificial intelligence, Robot, Robotics, Stiffness and Biomedical engineering are his primary areas of study.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition.
His Robot study combines topics in areas such as Software deployment, Human–computer interaction, Computer vision, Threading and Use case.
The study incorporates disciplines such as Flange, Basis and Simultaneous equations in addition to Computer vision.
His study in Stiffness is interdisciplinary in nature, drawing from both Biophysics and Sepsis.
Yu Sun has researched Biomedical engineering in several fields, including Characterization, Sperm, Sperm Head, Sperm immobilization and Intracytoplasmic sperm injection.
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