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 30 Citations 4,222 127 World Ranking 6958 National Ranking 850

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Artificial intelligence
  • Control theory

His primary areas of investigation include Battery, Mathematical optimization, Particle swarm optimization, Differential evolution and Proton exchange membrane fuel cell. His research in Battery intersects with topics in Energy management, Control engineering, Automotive engineering, Hybrid system and Driving cycle. His work on Energy management system expands to the thematically related Automotive engineering.

Mathematical optimization and Noise are commonly linked in his work. His Differential evolution research includes elements of AC power, Simulation, Electric power system and Search algorithm. His Proton exchange membrane fuel cell study incorporates themes from Dynamic Extension, Nonlinear control, Linearization, Feedback linearization and Robust control.

His most cited work include:

  • Seeker Optimization Algorithm for Optimal Reactive Power Dispatch (277 citations)
  • Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic (187 citations)
  • Seeker Optimization Algorithm for Digital IIR Filter Design (171 citations)

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

Weirong Chen mostly deals with Proton exchange membrane fuel cell, Control theory, Automotive engineering, Energy management and Battery. His studies deal with areas such as Cathode, Particle swarm optimization and Voltage as well as Proton exchange membrane fuel cell. His work in Particle swarm optimization addresses subjects such as Genetic algorithm, which are connected to disciplines such as Algorithm.

His Energy management research includes themes of Finite-state machine, State of charge, Microgrid and Hybrid system. Weirong Chen has researched Battery in several fields, including Control engineering, Driving cycle, Voltage droop and Energy management system. His research investigates the connection between Mathematical optimization and topics such as AC power that intersect with problems in Differential evolution.

He most often published in these fields:

  • Proton exchange membrane fuel cell (35.56%)
  • Control theory (31.85%)
  • Automotive engineering (28.89%)

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

  • Control theory (31.85%)
  • Automotive engineering (28.89%)
  • Proton exchange membrane fuel cell (35.56%)

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

His primary scientific interests are in Control theory, Automotive engineering, Proton exchange membrane fuel cell, Microgrid and Energy management. His Control theory research is multidisciplinary, relying on both Battery, Voltage droop and Hybrid power. Weirong Chen has included themes like Control system, AC power and Frequency modulation in his Voltage droop study.

As a part of the same scientific study, Weirong Chen usually deals with the Automotive engineering, concentrating on Energy storage and frequently concerns with Brake, DC-BUS and Particle swarm optimization. Weirong Chen combines subjects such as Deep belief network, Data mining and Cluster analysis with his study of Proton exchange membrane fuel cell. His research links Hydrogen storage with Energy management.

Between 2019 and 2021, his most popular works were:

  • Real-Time Implementation of Maximum Net Power Strategy Based on Sliding Mode Variable Structure Control for Proton-Exchange Membrane Fuel Cell System (18 citations)
  • An optimized energy management strategy for fuel cell hybrid power system based on maximum efficiency range identification (18 citations)
  • Mode-triggered droop method for the decentralized energy management of an islanded hybrid PV/hydrogen/battery DC microgrid (11 citations)

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

  • Electrical engineering
  • Artificial intelligence
  • Control theory

Control theory, Battery, Range, Energy management and Hybrid system are his primary areas of study. The Variable structure control and Nonlinear system research Weirong Chen does as part of his general Control theory study is frequently linked to other disciplines of science, such as Exponential function and Response time, therefore creating a link between diverse domains of science. His work in Range incorporates the disciplines of State, Stability, Robust optimization, Stage and Finite-state machine.

His Energy management study combines topics in areas such as Distributed generation, Voltage droop and Microgrid. His Hybrid system research incorporates elements of Hybrid power, Operating cost and Hydrogen economy. His Hybrid power research integrates issues from Energy consumption and Fuel cells, Hydrogen consumption.

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

Seeker Optimization Algorithm for Optimal Reactive Power Dispatch

Chaohua Dai;Weirong Chen;Yunfang Zhu;Xuexia Zhang.
IEEE Transactions on Power Systems (2009)

459 Citations

Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic

Qi Li;Weirong Chen;Yankun Li;Shukui Liu.
International Journal of Electrical Power & Energy Systems (2012)

284 Citations

Seeker Optimization Algorithm for Digital IIR Filter Design

Chaohua Dai;Weirong Chen;Yunfang Zhu.
IEEE Transactions on Industrial Electronics (2010)

268 Citations

Development of energy management system based on a power sharing strategy for a fuel cell-battery-supercapacitor hybrid tramway

Qi Li;Weirong Chen;Zhixiang Liu;Ming Li.
Journal of Power Sources (2015)

198 Citations

Parameter Identification for PEM Fuel-Cell Mechanism Model Based on Effective Informed Adaptive Particle Swarm Optimization

Qi Li;Weirong Chen;Youyi Wang;Shukui Liu.
IEEE Transactions on Industrial Electronics (2011)

164 Citations

Seeker Optimization Algorithm

Chaohua Dai;Weirong Chen;Yunfang Zhu.
computational intelligence and security (2006)

163 Citations

Reactive power dispatch considering voltage stability with seeker optimization algorithm

Chaohua Dai;Weirong Chen;Yunfang Zhu;Xuexia Zhang.
Electric Power Systems Research (2009)

160 Citations

Power Management Strategy Based on Adaptive Droop Control for a Fuel Cell-Battery-Supercapacitor Hybrid Tramway

Qi Li;Tianhong Wang;Chaohua Dai;Weirong Chen.
IEEE Transactions on Vehicular Technology (2018)

156 Citations

A state machine strategy based on droop control for an energy management system of PEMFC-battery-supercapacitor hybrid tramway

Qi Li;Hanqing Yang;Ying Han;Ming Li.
International Journal of Hydrogen Energy (2016)

136 Citations

Seeker optimization algorithm for global optimization: A case study on optimal modelling of proton exchange membrane fuel cell (PEMFC)

Chaohua Dai;Weirong Chen;Zhanli Cheng;Qi Li.
International Journal of Electrical Power & Energy Systems (2011)

102 Citations

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