D-Index & Metrics Best Publications

D-Index & Metrics

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
Engineering and Technology D-index 38 Citations 5,344 187 World Ranking 2863 National Ranking 286

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Mechanical engineering
  • Artificial intelligence

His scientific interests lie mostly in Lithium-ion battery, Battery, Algorithm, Reliability and Interval. His Lithium-ion battery research is classified as research in Lithium. His Battery study which covers Nuclear engineering that intersects with Battery pack and Water cooling.

His research in Algorithm intersects with topics in Stochastic process, Response surface methodology, Condition monitoring and Autoregressive model. His Reliability research incorporates themes from Probabilistic logic, Covariance, Surface and Mathematical optimization. His Interval study combines topics in areas such as Uncertainty analysis and Rotation.

His most cited work include:

  • An overview of metal oxide materials as electrocatalysts and supports for polymer electrolyte fuel cells (240 citations)
  • Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique (153 citations)
  • A review of thermal performance improving methods of lithium ion battery: Electrode modification and thermal management system (149 citations)

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

His primary areas of investigation include Control theory, Artificial intelligence, Applied mathematics, Algorithm and Mathematical optimization. In his research on the topic of Control theory, Time domain and Finite element method is strongly related with Dynamic load testing. His biological study spans a wide range of topics, including Fault, Prognostics, Computer vision and Pattern recognition.

His studies in Fault integrate themes in fields like Reliability engineering, Adaptive neuro fuzzy inference system, Bearing and Condition monitoring. The Applied mathematics study combines topics in areas such as Interval arithmetic, Probability density function, Inverse problem and Propagation of uncertainty. His Mathematical optimization study combines topics from a wide range of disciplines, such as Reliability and Interval.

He most often published in these fields:

  • Control theory (12.89%)
  • Artificial intelligence (12.89%)
  • Applied mathematics (11.34%)

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

  • Algorithm (11.34%)
  • Control theory (12.89%)
  • Propagation of uncertainty (6.19%)

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

Algorithm, Control theory, Propagation of uncertainty, Applied mathematics and Artificial intelligence are his primary areas of study. He has included themes like Vibration, Uncertainty quantification, Null hypothesis and Data set in his Algorithm study. Control theory is frequently linked to Interval in his study.

Jie Liu usually deals with Propagation of uncertainty and limits it to topics linked to Inverse problem and Optimization problem, Minimum-variance unbiased estimator, Mathematical optimization, Estimation theory and Cumulative distribution function. He has researched Applied mathematics in several fields, including Principle of maximum entropy, Uncertainty analysis, Probability density function and Correlation. Jie Liu interconnects Point and Pattern recognition in the investigation of issues within Artificial intelligence.

Between 2019 and 2021, his most popular works were:

  • A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots (38 citations)
  • A computational framework of kinematic accuracy reliability analysis for industrial robots (25 citations)
  • Parallelotope-formed evidence theory model for quantifying uncertainties with correlation (17 citations)

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

  • Mechanical engineering
  • Statistics
  • Artificial intelligence

Jie Liu mostly deals with Algorithm, Vibration, Applied mathematics, Uncertainty quantification and Kurtosis. His study in Algorithm focuses on Regularization in particular. His Vibration study incorporates themes from Singular value decomposition, Null hypothesis and Fault detection and isolation.

Jie Liu studied Applied mathematics and Probability distribution that intersect with Probability density function and Principle of maximum entropy. His work in Principle of maximum entropy covers topics such as Robot which are related to areas like Reliability. His Kurtosis research includes elements of Translation, Fault, Coupling and Wavelet, Wavelet transform.

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

An overview of metal oxide materials as electrocatalysts and supports for polymer electrolyte fuel cells

Zhonghua Zhang;Jie Liu;Junjie Gu;Liang Su.
Energy and Environmental Science (2014)

329 Citations

Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique

C. Jiang;X. Han;G.Y. Lu;J. Liu.
Computer Methods in Applied Mechanics and Engineering (2011)

208 Citations

The damped dynamic vibration absorbers: revisited and new result

Kefu Liu;Jie Liu.
Journal of Sound and Vibration (2005)

185 Citations

An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries

Jie Liu;Abhinav Saxena;Kai Goebel;Bhaskar Saha.
Annual Conference of the PHM Society (2010)

181 Citations

A review of thermal performance improving methods of lithium ion battery: Electrode modification and thermal management system

Rui Zhao;Sijie Zhang;Jie Liu;Junjie Gu.
Journal of Power Sources (2015)

173 Citations

Time-Variant Reliability Analysis through Response Surface Method

Dequan Zhang;Dequan Zhang;Xu Han;Chao Jiang;Jie Liu.
Journal of Mechanical Design (2017)

164 Citations

Simulation and experimental study on lithium ion battery short circuit

Rui Zhao;Jie Liu;Junjie Gu.
Applied Energy (2016)

155 Citations

A data-model-fusion prognostic framework for dynamic system state forecasting

J. Liu;W. Wang;Y. B. Yang.
Engineering Applications of Artificial Intelligence (2012)

153 Citations

The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery

Rui Zhao;Jie Liu;Junjie Gu.
Applied Energy (2015)

152 Citations

An experimental study of heat pipe thermal management system with wet cooling method for lithium ion batteries

Rui Zhao;Junjie Gu;Jie Liu.
Journal of Power Sources (2015)

149 Citations

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