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 52 Citations 16,802 319 World Ranking 1545 National Ranking 694

Research.com Recognitions

Awards & Achievements

2018 - Fellow, National Academy of Inventors

2004 - IEEE Fellow For contributions to systems theory and automotive powertrain control.

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Artificial intelligence

Jing Sun mainly focuses on Control theory, Control engineering, Automotive engineering, Model predictive control and Robustness. His Control theory study frequently draws connections to adjacent fields such as Estimation theory. Jing Sun has included themes like Control system and Wind power in his Control engineering study.

His study in the fields of Internal combustion engine under the domain of Automotive engineering overlaps with other disciplines such as Energy management. The concepts of his Model predictive control study are interwoven with issues in Battery, Optimization problem and Quadratic programming, Sequential quadratic programming. His Adaptive system study integrates concerns from other disciplines, such as Lyapunov stability and Multivariable calculus.

His most cited work include:

  • Robust Adaptive Control (3830 citations)
  • On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression (240 citations)
  • Path following of underactuated marine surface vessels using line-of-sight based model predictive control ☆ (184 citations)

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

His main research concerns Control theory, Automotive engineering, Control engineering, Model predictive control and Nonlinear system. His work on Mathematical optimization expands to the thematically related Control theory. His studies in Automotive engineering integrate themes in fields like Battery, Lean burn and Torque.

Jing Sun combines subjects such as Control, Electric power system, Robustness and Optimal control with his study of Control engineering. His study in Model predictive control is interdisciplinary in nature, drawing from both Energy consumption and Quadratic programming, Sequential quadratic programming. His study brings together the fields of Estimation theory and Adaptive control.

He most often published in these fields:

  • Control theory (44.39%)
  • Automotive engineering (27.15%)
  • Control engineering (21.41%)

What were the highlights of his more recent work (between 2017-2021)?

  • Automotive engineering (27.15%)
  • Control theory (44.39%)
  • Battery (8.09%)

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

Automotive engineering, Control theory, Battery, Model predictive control and Energy consumption are his primary areas of study. The various areas that he examines in his Automotive engineering study include Electric vehicle, Driving cycle, Dynamic programming and Air conditioning. His study looks at the intersection of Electric vehicle and topics like Robustness with Mathematical optimization.

His Control theory research is multidisciplinary, incorporating perspectives in Drag, Estimation theory and Voltage. The study incorporates disciplines such as Noise, Flywheel and Electric power system in addition to Battery. His research integrates issues of Control engineering and Magnet in his study of Torque.

Between 2017 and 2021, his most popular works were:

  • A Set-Based Genetic Algorithm for Interval Many-Objective Optimization Problems (113 citations)
  • Control development and performance evaluation for battery/flywheel hybrid energy storage solutions to mitigate load fluctuations in all-electric ship propulsion systems (50 citations)
  • Mitigating Power Fluctuations in Electric Ship Propulsion With Hybrid Energy Storage System: Design and Analysis (49 citations)

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

  • Control theory
  • Electrical engineering
  • Artificial intelligence

Jing Sun mainly investigates Model predictive control, Battery, Automotive engineering, Energy management and Control theory. His biological study spans a wide range of topics, including Energy consumption and Sensitivity. His Automotive engineering research is multidisciplinary, incorporating elements of Control theory, Dynamic programming, Driving cycle and Thermal management of electronic devices and systems.

His research on Control theory focuses in particular on Vehicle dynamics. His Lithium-ion battery research is multidisciplinary, relying on both Filter and State of health. His work carried out in the field of Filter brings together such families of science as Estimation theory and Concurrent algorithm.

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

Robust adaptive control

Petros A. Ioannou;Jing Sun.
american control conference (1995)

7372 Citations

On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression

Caihao Weng;Yujia Cui;Jing Sun;Huei Peng.
Journal of Power Sources (2013)

398 Citations

Characterization of penetration induced thermal runaway propagation process within a large format lithium ion battery module

Xuning Feng;Xuning Feng;Jing Sun;Minggao Ouyang;Fang Wang.
Journal of Power Sources (2015)

319 Citations

Path following of underactuated marine surface vessels using line-of-sight based model predictive control ☆

So Ryeok Oh;Jing Sun.
Ocean Engineering (2010)

313 Citations

A unified open-circuit-voltage model of lithium-ion batteries for state-of-charge estimation and state-of-health monitoring

Caihao Weng;Jing Sun;Huei Peng.
Journal of Power Sources (2014)

282 Citations

Power Flow Characterization of a Bidirectional Galvanically Isolated High-Power DC/DC Converter Over a Wide Operating Range

Yanhui Xie;Jing Sun;J.S. Freudenberg.
IEEE Transactions on Power Electronics (2010)

272 Citations

Theory and design of robust direct and indirect adaptive-control schemes

P. Ioannou;J. Sun.
International Journal of Control (1988)

231 Citations

MODELS AND CONTROL METHODOLOGIES FOR IC ENGINE IDLE SPEED CONTROL DESIGN

Davor Hrovat;Jing Sun.
Control Engineering Practice (1996)

220 Citations

Online internal short circuit detection for a large format lithium ion battery

Xuning Feng;Caihao Weng;Minggao Ouyang;Jing Sun.
Applied Energy (2016)

219 Citations

State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking

Caihao Weng;Xuning Feng;Xuning Feng;Jing Sun;Huei Peng;Huei Peng.
Applied Energy (2016)

203 Citations

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Michael A. Demetriou

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