H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 45 Citations 8,468 207 World Ranking 1451 National Ranking 655

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Programming language

His main research concerns Control theory, Observability, Supervisory control, Event and Control engineering. His Observability study also includes

  • Controllability which intersects with area such as Normality,
  • Discrete event dynamic system and related Communications protocol. Feng Lin merges many fields, such as Supervisory control and Supervisor, in his writings.

His Event research includes themes of Algorithm and Sublanguage. His work carried out in the field of Algorithm brings together such families of science as Automaton and System identification. His studies deal with areas such as Software system, Active Network Management, Feature and Automotive industry as well as Control engineering.

His most cited work include:

  • On observability of discrete-event systems (676 citations)
  • Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network (489 citations)
  • Decentralized supervisory control of discrete-event systems (277 citations)

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

Feng Lin mainly focuses on Control theory, Artificial intelligence, Supervisory control, Control engineering and Event. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Computer vision and Pattern recognition. His Supervisory control research is multidisciplinary, relying on both Automaton, Theoretical computer science, Observability and Decentralised system.

His Observability study combines topics from a wide range of disciplines, such as Event and Controllability. The study incorporates disciplines such as Control system, Finite-state machine, State and Robustness in addition to Control engineering. His research in Event intersects with topics in Control and Distributed computing.

He most often published in these fields:

  • Control theory (22.87%)
  • Artificial intelligence (17.05%)
  • Supervisory control (17.88%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (17.05%)
  • Real-time computing (9.15%)
  • Computer vision (9.98%)

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

His primary areas of study are Artificial intelligence, Real-time computing, Computer vision, Event and Control theory. His Real-time computing research is multidisciplinary, incorporating perspectives in Throughput and Motion planning. His Event research incorporates themes from Automaton, Nondeterministic algorithm and Fuzzy logic.

His study in Control theory is interdisciplinary in nature, drawing from both Aerodynamics and Supervisory control. The concepts of his Theoretical computer science study are interwoven with issues in Observability and Specification language. His work deals with themes such as Control and Distributed computing, which intersect with Event.

Between 2016 and 2021, his most popular works were:

  • Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network (489 citations)
  • Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) (221 citations)
  • Distributed Formation and Reconfiguration Control of VTOL UAVs (82 citations)

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

  • Artificial intelligence
  • Statistics
  • Programming language

Feng Lin focuses on Real-time computing, Artificial intelligence, Observability, Supervisory control and Event. His research on Real-time computing also deals with topics like

  • Ultra-wideband that intertwine with fields like Latency,
  • State together with Complex system, FIFO and Control system. Feng Lin interconnects Deconvolution and Computer vision in the investigation of issues within Artificial intelligence.

His Observability study is associated with Control theory. Feng Lin combines subjects such as Network partition, Power control, Overvoltage, Voltage regulation and Electronic engineering with his study of Control theory. His study in Event is interdisciplinary in nature, drawing from both Control and Distributed computing.

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

On observability of discrete-event systems

F. Lin;W. M. Wonham.
international conference on robotics and automation (1988)

896 Citations

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin.
IEEE Transactions on Medical Imaging (2017)

620 Citations

Diagnosability of discrete event systems and its applications

Feng Lin.
Discrete Event Dynamic Systems (1994)

406 Citations

Decentralized supervisory control of discrete-event systems

F. Lin;W. M. Wonham.
international conference on robotics and automation (1988)

369 Citations

Decentralized control and coordination of discrete-event systems with partial observation

F. Lin;W.M. Wonham.
IEEE Transactions on Automatic Control (1990)

355 Citations

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin.
arXiv: Medical Physics (2017)

331 Citations

Robust control design : an optimal control approach

Feng Lin.
(2007)

320 Citations

Modeling and control of fuzzy discrete event systems

Feng Lin;Hao Ying.
systems man and cybernetics (2002)

241 Citations

Limited lookahead policies in supervisory control of discrete event systems

S.-L. Chung;S. Lafortune;F. Lin.
IEEE Transactions on Automatic Control (1992)

235 Citations

Formulas for calculating supremal controllable and normal sublanguages

R. D. Brandt;V. Garg;R. Kumar;F. Lin.
Systems & Control Letters (1990)

224 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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Top Scientists Citing Feng Lin

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