What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Control theory
The scientist’s investigation covers issues in Control theory, Artificial intelligence, Control theory, Control system and Computer vision.
His Control theory study combines topics in areas such as Control engineering and Artificial neural network.
His biological study spans a wide range of topics, including Machine learning and Pattern recognition.
As part of one scientific family, Fuchun Sun deals mainly with the area of Control theory, narrowing it down to issues related to the Compensation, and often Aerodynamics, Angle of attack and Estimation theory.
Fuchun Sun interconnects Neuro-fuzzy, Distributed computing and Cyber-physical system in the investigation of issues within Control system.
He focuses mostly in the field of Computer vision, narrowing it down to topics relating to Visualization and, in certain cases, Configuration information and Kernel.
His most cited work include:
- A Survey on Deep Transfer Learning (565 citations)
- HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection (389 citations)
- Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form (245 citations)
What are the main themes of his work throughout his whole career to date?
Fuchun Sun focuses on Artificial intelligence, Control theory, Computer vision, Pattern recognition and Robot.
Fuchun Sun works mostly in the field of Artificial intelligence, limiting it down to concerns involving Machine learning and, occasionally, Classifier.
His work in Control theory covers topics such as Fuzzy logic which are related to areas like Nonlinear system.
His Computer vision research is multidisciplinary, incorporating perspectives in Visualization and Tactile sensor.
His Pattern recognition research includes themes of Contextual image classification, Feature and Robustness.
His Robot research includes elements of Trajectory and Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (48.11%)
- Control theory (29.73%)
- Computer vision (21.40%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (48.11%)
- Robot (16.48%)
- Computer vision (21.40%)
In recent papers he was focusing on the following fields of study:
Fuchun Sun spends much of his time researching Artificial intelligence, Robot, Computer vision, Machine learning and Human–computer interaction.
His Artificial intelligence study frequently links to adjacent areas such as Pattern recognition.
His research in Pattern recognition intersects with topics in Subspace topology and Feature.
His Robot study incorporates themes from Robustness, Control theory and Support vector machine.
He combines subjects such as Convolutional neural network and Tactile sensor with his study of Computer vision.
In general Machine learning, his work in Transfer of learning is often linked to Function linking many areas of study.
Between 2017 and 2021, his most popular works were:
- A Survey on Deep Transfer Learning (565 citations)
- FoveaBox: Beyond Anchor-based Object Detector (134 citations)
- Composite Intelligent Learning Control of Strict-Feedback Systems With Disturbance (95 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Control theory
Fuchun Sun mainly focuses on Artificial intelligence, Machine learning, Pattern recognition, Computer vision and Human–computer interaction.
In his works, Fuchun Sun conducts interdisciplinary research on Artificial intelligence and Modal.
His Machine learning research incorporates elements of Modality and Relation.
The various areas that Fuchun Sun examines in his Pattern recognition study include Feature and Image.
His work on Object, Object detection and Gesture as part of general Computer vision research is frequently linked to Accelerometer, thereby connecting diverse disciplines of science.
The concepts of his Fuzzy logic study are interwoven with issues in Margin and Control system, Control theory.
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