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 64 Citations 17,894 307 World Ranking 729 National Ranking 354

Research.com Recognitions

Awards & Achievements

2013 - Anthony J. Hornfeck Service Award

2007 - IEEE Fellow For contributions to diagnostics and control in mechatronics

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Computer network

His scientific interests lie mostly in Control engineering, Smart grid, Artificial neural network, Networked control system and Control theory. Mo-Yuen Chow has included themes like State of charge, Communications protocol, Vibration and Automatic control in his Control engineering study. Mo-Yuen Chow has researched Smart grid in several fields, including Distributed computing, Electricity, Energy management, Algorithm design and Mathematical optimization.

His Artificial neural network study combines topics from a wide range of disciplines, such as Fault, Fault detection and isolation, Algorithm and Fuzzy control system. His Networked control system research incorporates themes from Network delay, Computer network and Adaptive control. His Control theory research includes themes of Induction motor and Electronic engineering.

His most cited work include:

  • Control methodologies in networked control systems (948 citations)
  • Networked Control System: Overview and Research Trends (807 citations)
  • Neural-network-based motor rolling bearing fault diagnosis (549 citations)

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

Mo-Yuen Chow mostly deals with Control engineering, Distributed computing, Control theory, Smart grid and Artificial neural network. His Control engineering study which covers Control system that intersects with DC motor. His Distributed algorithm study in the realm of Distributed computing connects with subjects such as Scalability.

His Control theory study incorporates themes from Battery, Electronic engineering and Network packet. His work carried out in the field of Smart grid brings together such families of science as Electricity, Economic dispatch, Electric power system, Energy management and Mathematical optimization. His Artificial neural network research is multidisciplinary, incorporating elements of Fault and Fault detection and isolation.

He most often published in these fields:

  • Control engineering (19.33%)
  • Distributed computing (18.67%)
  • Control theory (17.67%)

What were the highlights of his more recent work (between 2015-2021)?

  • Distributed generation (10.67%)
  • Distributed computing (18.67%)
  • Battery (12.00%)

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

Mo-Yuen Chow mainly focuses on Distributed generation, Distributed computing, Battery, Microgrid and Energy management. His studies in Distributed generation integrate themes in fields like Management system, Computer security, Power management, Smart grid and Scheduling. The concepts of his Smart grid study are interwoven with issues in Mathematical optimization and Electric power system.

His work on Distributed algorithm as part of general Distributed computing research is often related to Scalability, thus linking different fields of science. His work deals with themes such as Automotive engineering, State and Lithium, which intersect with Battery. Mo-Yuen Chow works mostly in the field of Electricity generation, limiting it down to topics relating to Voltage droop and, in certain cases, Control engineering, as a part of the same area of interest.

Between 2015 and 2021, his most popular works were:

  • Optimal Cooperative Charging Strategy for a Smart Charging Station of Electric Vehicles (72 citations)
  • To Centralize or to Distribute: That Is the Question: A Comparison of Advanced Microgrid Management Systems (65 citations)
  • Distributed Adaptive Droop Control for Optimal Power Dispatch in DC Microgrid (63 citations)

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

  • Artificial intelligence
  • Electrical engineering
  • Computer network

Mo-Yuen Chow mainly investigates Distributed generation, Distributed computing, Smart grid, Energy management and Electric power system. His Distributed generation research is multidisciplinary, incorporating perspectives in Dynamic demand, Management system, Real-time computing, Scheduling and Microgrid. His Distributed computing research incorporates elements of Resilience, Network topology, Control theory, Control and Renewable energy.

Mo-Yuen Chow studied Control and Supercapacitor that intersect with Control engineering. Many of his studies on Smart grid apply to Energy storage as well. His study in the field of Economic dispatch also crosses realms of Median filter.

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

Control methodologies in networked control systems

Yodyium Tipsuwan;Mo-Yuen Chow.
Control Engineering Practice (2003)

1462 Citations

Networked Control System: Overview and Research Trends

Rachana Ashok Gupta;Mo-Yuen Chow.
IEEE Transactions on Industrial Electronics (2010)

1288 Citations

Neural-network-based motor rolling bearing fault diagnosis

B. Li;M.-Y. Chow;Y. Tipsuwan;J.C. Hung.
IEEE Transactions on Industrial Electronics (2000)

903 Citations

A Survey on the Electrification of Transportation in a Smart Grid Environment

Wencong Su;Habiballah Eichi;Wente Zeng;Mo-Yuen Chow.
IEEE Transactions on Industrial Informatics (2012)

829 Citations

A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

Ruilong Deng;Zaiyue Yang;Mo-Yuen Chow;Jiming Chen.
IEEE Transactions on Industrial Informatics (2015)

784 Citations

Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles

H. Rahimi-Eichi;U. Ojha;F. Baronti;M. Chow.
IEEE Industrial Electronics Magazine (2013)

769 Citations

Convergence Analysis of the Incremental Cost Consensus Algorithm Under Different Communication Network Topologies in a Smart Grid

Ziang Zhang;Mo-Yuen Chow.
IEEE Transactions on Power Systems (2012)

644 Citations

Performance Evaluation of an EDA-Based Large-Scale Plug-In Hybrid Electric Vehicle Charging Algorithm

Wencong Su;Mo-Yuen Chow.
IEEE Transactions on Smart Grid (2012)

360 Citations

Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells

Habiballah Rahimi-Eichi;Federico Baronti;Mo-Yuen Chow.
IEEE Transactions on Industrial Electronics (2014)

347 Citations

Network-based control systems: a tutorial

Mo-Yuen Chow;Yodyium Tipsuwan.
conference of the industrial electronics society (2001)

341 Citations

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