H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 65 Citations 18,185 313 World Ranking 1120 National Ranking 106
Electronics and Electrical Engineering H-index 61 Citations 12,893 215 World Ranking 509 National Ranking 50

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of investigation include Control theory, Nonlinear system, Adaptive control, Backstepping and Artificial neural network. Control theory is closely attributed to Fuzzy logic in his work. His Nonlinear system research is multidisciplinary, relying on both Multi-agent system, Bounded function and Cryptography.

As part of one scientific family, C. L. Philip Chen deals mainly with the area of Adaptive control, narrowing it down to issues related to the State, and often Trajectory, Torque, Type, Stability and Constraint. His studies deal with areas such as Observer, Tracking error and Adaptive neuro fuzzy inference system as well as Backstepping. C. L. Philip Chen combines subjects such as Incremental learning, MIMO and Inference with his study of Artificial neural network.

His most cited work include:

  • Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (1617 citations)
  • A new 1D chaotic system for image encryption (417 citations)
  • Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture (381 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Control theory, Artificial intelligence, Nonlinear system, Pattern recognition and Artificial neural network. Control theory is frequently linked to Fuzzy logic in his study. The study incorporates disciplines such as Machine learning and Computer vision in addition to Artificial intelligence.

His research in Nonlinear system intersects with topics in Multi-agent system, Bounded function, Actuator and Adaptive system. His Pattern recognition research includes themes of Pixel and Feature. His Artificial neural network study which covers Robustness that intersects with Outlier.

He most often published in these fields:

  • Control theory (43.69%)
  • Artificial intelligence (37.85%)
  • Nonlinear system (35.69%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (43.69%)
  • Nonlinear system (35.69%)
  • Artificial intelligence (37.85%)

In recent papers he was focusing on the following fields of study:

C. L. Philip Chen mostly deals with Control theory, Nonlinear system, Artificial intelligence, Artificial neural network and Control theory. His work on Control theory is being expanded to include thematically relevant topics such as Fuzzy logic. His study on Nonlinear system also encompasses disciplines like

  • Bounded function which intersects with area such as State,
  • Multi-agent system, which have a strong connection to Control.

The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition. His Artificial neural network research is multidisciplinary, incorporating elements of Control system, Algorithm, Estimator and Robot. Outlier is closely connected to Robustness in his research, which is encompassed under the umbrella topic of Control theory.

Between 2019 and 2021, his most popular works were:

  • Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems (59 citations)
  • Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems (59 citations)
  • Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification (54 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

C. L. Philip Chen spends much of his time researching Control theory, Nonlinear system, Artificial neural network, Control theory and Artificial intelligence. His Control theory and Lyapunov function, Backstepping, Adaptive control, Stability and State observer investigations all form part of his Control theory research activities. His Nonlinear system study integrates concerns from other disciplines, such as Bounded function, Actuator, Adaptive system and Fuzzy control system.

His Artificial neural network study incorporates themes from Feature, Multi-agent system, Trajectory optimization, Algorithm and Robustness. His studies deal with areas such as Reduced order, Markov process, Trajectory and Robot manipulator as well as Control theory. The study incorporates disciplines such as Invariant, Computer vision and Pattern recognition in addition to Artificial intelligence.

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

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

C. L. Philip Chen;Chun-Yang Zhang.
Information Sciences (2014)

3018 Citations

A new 1D chaotic system for image encryption

Yicong Zhou;Long Bao;C.L. Philip Chen.
Signal Processing (2014)

540 Citations

A survey of communication/networking in Smart Grids

Jingcheng Gao;Yang Xiao;Jing Liu;Wei Liang.
Future Generation Computer Systems (2012)

532 Citations

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

C. L. Philip Chen;Zhulin Liu.
IEEE Transactions on Neural Networks (2018)

517 Citations

Cyber Security and Privacy Issues in Smart Grids

Jing Liu;Yang Xiao;Shuhui Li;Wei Liang.
IEEE Communications Surveys and Tutorials (2012)

458 Citations

Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

C. L. Philip Chen;Guo-Xing Wen;Yan-Jun Liu;Fei-Yue Wang.
IEEE Transactions on Neural Networks (2014)

430 Citations

2D Sine Logistic modulation map for image encryption

Zhongyun Hua;Yicong Zhou;Chi-Man Pun;C.L. Philip Chen.
Information Sciences (2015)

412 Citations

A Local Contrast Method for Small Infrared Target Detection

C. L. Philip Chen;Hong Li;Yantao Wei;Tian Xia.
IEEE Transactions on Geoscience and Remote Sensing (2014)

400 Citations

Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems

C. L. Philip Chen;Guo-Xing Wen;Yan-Jun Liu;Zhi Liu.
IEEE Transactions on Systems, Man, and Cybernetics (2016)

394 Citations

Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems

C. L. Philip Chen;Yan-Jun Liu;Guo-Xing Wen.
IEEE Transactions on Systems, Man, and Cybernetics (2014)

384 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.

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