D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 45 Citations 6,844 290 World Ranking 2182 National Ranking 921

Research.com Recognitions

Awards & Achievements

2012 - IEEE Fellow For contributions to system identification and the analysis of system complexity

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Control theory
  • Electrical engineering

His scientific interests lie mostly in Control theory, System identification, Battery, Nonlinear system and Lithium. Le Yi Wang is studying Control theory, which is a component of Control theory. Le Yi Wang combines subjects such as Estimation theory, Identifiability, Efficient estimator and Signal processing with his study of System identification.

His research in Nonlinear system tackles topics such as Linear system which are related to areas like Exponential stability, Robust control, Norm and Bounded function. His Lithium study integrates concerns from other disciplines, such as Open-circuit voltage, Nuclear engineering, Electrical engineering and Constant. He combines subjects such as Control engineering, Noise and Markov process with his study of Identification.

His most cited work include:

  • Method and system for continuous monitoring and training of exercise (328 citations)
  • System identification using binary sensors (182 citations)
  • VCONF: a reinforcement learning approach to virtual machines auto-configuration (174 citations)

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

His primary scientific interests are in Control theory, System identification, Identification, Mathematical optimization and Algorithm. His study in Nonlinear system, Robustness, Robust control, Linear system and Adaptive control are all subfields of Control theory. His work deals with themes such as Control engineering, Scalability and Distributed computing, which intersect with Robustness.

His work carried out in the field of System identification brings together such families of science as Estimation theory, Identifiability, Signal processing, Upper and lower bounds and Electronic engineering. His Identification research incorporates themes from Time complexity, Binary number and Noise. His studies in Mathematical optimization integrate themes in fields like Markov process, Computational complexity theory, Convergence, Stochastic process and Markov chain.

He most often published in these fields:

  • Control theory (36.43%)
  • System identification (17.14%)
  • Identification (16.07%)

What were the highlights of his more recent work (between 2014-2021)?

  • Control theory (36.43%)
  • Battery (8.57%)
  • Convergence (9.64%)

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

Le Yi Wang mainly focuses on Control theory, Battery, Convergence, State of charge and Applied mathematics. His Control theory research includes themes of System identification and Voltage. His Battery research is multidisciplinary, relying on both Reliability engineering, Control, Automotive engineering, Lithium and Electrical engineering.

His studies deal with areas such as Mathematical optimization and Identification as well as Convergence. His research investigates the link between State of charge and topics such as Control engineering that cross with problems in Electric power system, Observability and Controllability. His study on Applied mathematics also encompasses disciplines like

  • Identifiability that connect with fields like Upper and lower bounds,
  • Asymptotic distribution and related Finite impulse response and Weighting.

Between 2014 and 2021, his most popular works were:

  • Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control (104 citations)
  • A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter (103 citations)
  • Robust and Adaptive Estimation of State of Charge for Lithium-Ion Batteries (102 citations)

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

  • Statistics
  • Electrical engineering
  • Control theory

His scientific interests lie mostly in Control theory, Battery, Lithium, Electrical engineering and State of charge. His Control theory research is multidisciplinary, incorporating perspectives in Control engineering, Upper and lower bounds, Binary number and System identification. He has researched Battery in several fields, including Reliability, Power electronics, AC power and Reliability engineering.

The concepts of his Lithium study are interwoven with issues in Open-circuit voltage, Automotive engineering, Anode and Constant. His Electrical engineering study combines topics from a wide range of disciplines, such as Nuclear engineering and State of health. Le Yi Wang works mostly in the field of State of charge, limiting it down to topics relating to Constant current and, in certain cases, Filter and H-infinity methods in control theory, as a part of the same area of interest.

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.

Best Publications

Method and system for continuous monitoring and training of exercise

Mark H. Schwartz;Le Yi Wang;Hong Wang.
(2007)

390 Citations

VCONF: a reinforcement learning approach to virtual machines auto-configuration

Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang.
international conference on autonomic computing (2009)

344 Citations

VCONF: a reinforcement learning approach to virtual machines auto-configuration

Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang.
international conference on autonomic computing (2009)

344 Citations

Electric Vehicle Battery Technologies

Kwo Young;Caisheng Wang;Le Yi Wang;Kai Strunz.
(2013)

315 Citations

Electric Vehicle Battery Technologies

Kwo Young;Caisheng Wang;Le Yi Wang;Kai Strunz.
(2013)

315 Citations

System identification using binary sensors

Le Yi Wang;Ji-Feng Zhang;G.G. Yin.
IEEE Transactions on Automatic Control (2003)

253 Citations

System identification using binary sensors

Le Yi Wang;Ji-Feng Zhang;G.G. Yin.
IEEE Transactions on Automatic Control (2003)

253 Citations

System Identification with Quantized Observations

Le Yi Wang;G. George Yin;Ji-Feng Zhang;Yanlong Zhao.
(2010)

216 Citations

System Identification with Quantized Observations

Le Yi Wang;G. George Yin;Ji-Feng Zhang;Yanlong Zhao.
(2010)

216 Citations

Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control

Yang Zheng;Shengbo Eben Li;Keqiang Li;Le-Yi Wang.
IEEE Transactions on Control Systems and Technology (2016)

215 Citations

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