H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 39 Citations 8,891 326 World Ranking 4631 National Ranking 431
Electronics and Electrical Engineering H-index 42 Citations 6,048 219 World Ranking 1652 National Ranking 187

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to neural network control of nonlinear systems with applications to robotic manipulators

Overview

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.

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.

Top Publications

A Survey on Deep Transfer Learning

Chuanqi Tan;Fuchun Sun;Tao Kong;Wenchang Zhang.
international conference on artificial neural networks (2018)

816 Citations

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection

Tao Kong;Anbang Yao;Yurong Chen;Fuchun Sun.
computer vision and pattern recognition (2016)

467 Citations

Evolutionary route planner for unmanned air vehicles

Changwen Zheng;Lei Li;Fanjiang Xu;Fuchun Sun.
IEEE Transactions on Robotics (2005)

311 Citations

Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form

Bin Xu;Zhongke Shi;Chenguang Yang;Fuchun Sun.
IEEE Transactions on Systems, Man, and Cybernetics (2014)

284 Citations

RON: Reverse Connection with Objectness Prior Networks for Object Detection

Tao Kong;Fuchun Sun;Anbang Yao;Huaping Liu.
computer vision and pattern recognition (2017)

251 Citations

DYNAMIC SURFACE CONTROL OF CONSTRAINED HYPERSONIC FLIGHT MODELS WITH PARAMETER ESTIMATION AND ACTUATOR COMPENSATION

Bin Xu;Xiyuan Huang;Danwei Wang;Fuchun Sun.
Asian Journal of Control (2014)

228 Citations

FoveaBox: Beyond Anchor-based Object Detector

Tao Kong;Fuchun Sun;Huaping Liu;Yuning Jiang.
arXiv: Computer Vision and Pattern Recognition (2019)

195 Citations

FoveaBox: Beyound Anchor-Based Object Detection

Tao Kong;Fuchun Sun;Huaping Liu;Yuning Jiang.
IEEE Transactions on Image Processing (2020)

176 Citations

Visual–Tactile Fusion for Object Recognition

Huaping Liu;Yuanlong Yu;Fuchun Sun;Jason Gu.
IEEE Transactions on Automation Science and Engineering (2017)

175 Citations

Neural network-based adaptive controller design of robotic manipulators with an observer

Fuchun Sun;Zengqi Sun;Peng-Yung Woo.
IEEE Transactions on Neural Networks (2001)

170 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Fuchun Sun

Peng Shi

Peng Shi

University of Adelaide

Publications: 45

Zidong Wang

Zidong Wang

Brunel University London

Publications: 43

Huijun Gao

Huijun Gao

Harbin Institute of Technology

Publications: 40

Chenguang Yang

Chenguang Yang

South China University of Technology

Publications: 36

Wei He

Wei He

University of Science and Technology Beijing

Publications: 31

Zhijun Li

Zhijun Li

University of Science and Technology of China

Publications: 29

Qingling Zhang

Qingling Zhang

Yale University

Publications: 26

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 25

Fei Liu

Fei Liu

Xi'an Jiaotong University

Publications: 21

Ning Wang

Ning Wang

Harbin Engineering University

Publications: 20

Changchun Hua

Changchun Hua

Yanshan University

Publications: 19

Changyin Sun

Changyin Sun

Southeast University

Publications: 18

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 18

C. L. Philip Chen

C. L. Philip Chen

University of Macau

Publications: 16

Jianbin Qiu

Jianbin Qiu

Harbin Institute of Technology

Publications: 16

Something went wrong. Please try again later.