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 71 Citations 15,473 281 World Ranking 273 National Ranking 19

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Electrical engineering
  • Statistics

His main research concerns Simulation, Efficient energy use, Control engineering, Fault detection and isolation and Optimal control. His biological study spans a wide range of topics, including Energy performance, Airflow, Air conditioning, Demand controlled ventilation and Ventilation. His Efficient energy use research is multidisciplinary, incorporating elements of Architectural engineering, Occupancy, Humidity, Meteorology and Energy.

His study in Control engineering is interdisciplinary in nature, drawing from both Reliability, Demand response, Smart grid and Zero-energy building. His Fault detection and isolation research includes elements of Data mining, Chiller and Principal component analysis, Robustness, Artificial intelligence. His Optimal control research includes themes of Chilled water and Genetic algorithm.

His most cited work include:

  • Supervisory and optimal control of building HVAC systems: A review (305 citations)
  • Intelligent building research: a review (280 citations)
  • A dynamic user authentication scheme for wireless sensor networks (275 citations)

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

His scientific interests lie mostly in Control engineering, Chiller, Simulation, Air conditioning and Efficient energy use. Shengwei Wang has included themes like Control system, Optimal control, Robustness, Control theory and Principal component analysis in his Control engineering study. His Optimal control research incorporates elements of Control, Genetic algorithm and Water cooling.

His Chiller study combines topics in areas such as Reliability engineering, Cooling load, Fault detection and isolation, Chilled water and Water chiller. Shengwei Wang has researched Simulation in several fields, including Airflow and Automotive engineering. The study incorporates disciplines such as Energy consumption, Energy performance and Thermal comfort in addition to Air conditioning.

He most often published in these fields:

  • Control engineering (19.17%)
  • Chiller (18.21%)
  • Simulation (17.57%)

What were the highlights of his more recent work (between 2016-2021)?

  • Reliability engineering (15.02%)
  • Air conditioning (17.25%)
  • Automotive engineering (12.46%)

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

His primary areas of study are Reliability engineering, Air conditioning, Automotive engineering, Optimal design and Efficient energy use. His Reliability engineering research incorporates themes from Chiller, Control, Probabilistic logic, Energy and Systems design. His work deals with themes such as Thermal comfort, Control engineering, Chilled water, Water chiller and Demand response, which intersect with Chiller.

His Air conditioning study integrates concerns from other disciplines, such as Uncertainty analysis and Equation of state. His study looks at the intersection of Automotive engineering and topics like Smart grid with Power, Game theory, Renewable energy and Peak demand. The various areas that Shengwei Wang examines in his Efficient energy use study include Data center, Process engineering and Cooling load.

Between 2016 and 2021, his most popular works were:

  • Diagnostic Bayesian networks for diagnosing air handling units faults – part I: Faults in dampers, fans, filters and sensors (66 citations)
  • Robust optimal design of renewable energy system in nearly/net zero energy buildings under uncertainties (57 citations)
  • Game theory based interactive demand side management responding to dynamic pricing in price-based demand response of smart grids (50 citations)

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

  • Mechanical engineering
  • Electrical engineering
  • Statistics

Shengwei Wang spends much of his time researching Smart grid, Demand response, Air conditioning, Optimal design and Efficient energy use. The Smart grid study combines topics in areas such as Electricity, Game theory, Chiller and Operations research. Shengwei Wang interconnects Chilled water, Control engineering and Power in the investigation of issues within Chiller.

His biological study spans a wide range of topics, including Peak demand and Thermal energy storage. His research integrates issues of Energy consumption and Automotive engineering in his study of Air conditioning. His studies examine the connections between Thermal comfort and genetics, as well as such issues in Control system, with regards to Simulation.

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

A dynamic user authentication scheme for wireless sensor networks

K.H.M. Wong;Yuan Zheng;Jiannong Cao;Shengwei Wang.
sensor networks ubiquitous and trustworthy computing (2006)

453 Citations

Supervisory and optimal control of building HVAC systems: A review

Shengwei Wang;Zhenjun Ma.
Hvac&r Research (2008)

444 Citations

Intelligent building research: a review

J. K.W. Wong;Heng Li;Shengwei Wang.
Automation in Construction (2005)

431 Citations

Dynamic characteristics and energy performance of buildings using phase change materials: A review

Na Zhu;Zhenjun Ma;Shengwei Wang.
Energy Conversion and Management (2009)

368 Citations

Model-based optimal control of VAV air-conditioning system using genetic algorithm

Shengwei Wang;Xinqiao Jin.
Building and Environment (2000)

340 Citations

Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

Cheng Fan;Fu Xiao;Shengwei Wang.
Applied Energy (2014)

331 Citations

Simplified building model for transient thermal performance estimation using GA-based parameter identification

Shengwei Wang;Xinhua Xu.
International Journal of Thermal Sciences (2006)

320 Citations

Quantitative energy performance assessment methods for existing buildings

Shengwei Wang;Chengchu Yan;Fu Xiao.
Energy and Buildings (2012)

317 Citations

AHU sensor fault diagnosis using principal component analysis method

Shengwei Wang;Fu Xiao.
Energy and Buildings (2004)

265 Citations

Intelligent Buildings and Building Automation

Shengwei Wang.
(2009)

264 Citations

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