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
Mechanical and Aerospace Engineering D-index 65 Citations 13,290 212 World Ranking 105 National Ranking 59

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Thermodynamics
  • Mechanics

Qingyan Chen spends much of his time researching Computational fluid dynamics, Airflow, Mechanics, Meteorology and Simulation. His Computational fluid dynamics research is mostly focused on the topic CFD in buildings. His Airflow study integrates concerns from other disciplines, such as Combined forced and natural convection, Marine engineering, Turbulence, Ventilation and Scale model.

He works mostly in the field of Ventilation, limiting it down to topics relating to Large eddy simulation and, in certain cases, Wind speed. His work on Natural ventilation and Thermal comfort as part of his general Meteorology study is frequently connected to Single breath and Communicable disease transmission, thereby bridging the divide between different branches of science. In the field of Simulation, his study on Performance prediction overlaps with subjects such as Airborne disease, Disease transmission and Scaling.

His most cited work include:

  • Ventilation performance prediction for buildings: A method overview and recent applications (585 citations)
  • Ventilation performance prediction for buildings: A method overview and recent applications (585 citations)
  • COMPARISON OF DIFFERENT k-ε MODELS FOR INDOOR AIR FLOW COMPUTATIONS (513 citations)

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

His scientific interests lie mostly in Computational fluid dynamics, Airflow, Ventilation, Simulation and Mechanics. His work on CFD in buildings as part of general Computational fluid dynamics research is frequently linked to Boundary value problem, thereby connecting diverse disciplines of science. Qingyan Chen has researched Airflow in several fields, including Turbulence, Meteorology, Flow, Computer simulation and Fluid dynamics.

His Ventilation study frequently draws connections to other fields, such as Indoor air quality. He regularly links together related areas like Energy in his Simulation studies. In general Mechanics, his work in Combined forced and natural convection, Natural convection, Forced convection and Reynolds-averaged Navier–Stokes equations is often linked to Transient linking many areas of study.

He most often published in these fields:

  • Computational fluid dynamics (57.45%)
  • Airflow (47.11%)
  • Ventilation (34.95%)

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

  • Thermal comfort (26.75%)
  • Computational fluid dynamics (57.45%)
  • Airflow (47.11%)

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

His primary scientific interests are in Thermal comfort, Computational fluid dynamics, Airflow, Thermal and Meteorology. His Thermal comfort research integrates issues from Marine engineering, Ventilation, Indoor air quality and Air quality index. His Computational fluid dynamics research incorporates elements of Mockup and Optimal design.

His research integrates issues of Fluid dynamics, Mechanics, Inflow and Simulation in his study of Airflow. His work on Wind speed and Thermal sensation is typically connected to Skin temperature as part of general Meteorology study, connecting several disciplines of science. His studies in Wind speed integrate themes in fields like Apartment and Natural ventilation.

Between 2015 and 2021, his most popular works were:

  • A review of mitigating strategies to improve the thermal environment and thermal comfort in urban outdoor spaces (105 citations)
  • CFD simulations of wind distribution in an urban community with a full-scale geometrical model (35 citations)
  • CFD simulations of wind distribution in an urban community with a full-scale geometrical model (35 citations)

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

  • Mechanical engineering
  • Thermodynamics
  • Statistics

His primary areas of study are Thermal comfort, Thermal, Airflow, Meteorology and Computational fluid dynamics. The various areas that Qingyan Chen examines in his Thermal comfort study include Urban heat island and Environmental protection. His Airflow research includes themes of Marine engineering, Aerosol, Particle deposition and Air conditioning.

His work on Wind speed as part of general Meteorology study is frequently linked to Urban community, bridging the gap between disciplines. His Cfd simulation study, which is part of a larger body of work in Computational fluid dynamics, is frequently linked to Distribution, bridging the gap between disciplines. His work deals with themes such as Ventilation, Displacement ventilation, Jet and Turbulence, which intersect with Mockup.

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

Ventilation performance prediction for buildings: A method overview and recent applications

Qingyan Chen;Qingyan Chen.
Building and Environment (2009)

884 Citations

COMPARISON OF DIFFERENT k-ε MODELS FOR INDOOR AIR FLOW COMPUTATIONS

Q. Chen.
Numerical Heat Transfer Part B-fundamentals (1995)

883 Citations

A zero-equation turbulence model for indoor airflow simulation

Qingyan Chen;Weiran Xu.
Energy and Buildings (1998)

522 Citations

Design analysis of single-sided natural ventilation

Camille Allocca;Qingyan Chen;Leon R Glicksman.
Energy and Buildings (2003)

377 Citations

Comparison of the Eulerian and Lagrangian methods for predicting particle transport in enclosed spaces

Z. Zhang;Q. Chen.
Atmospheric Environment (2007)

364 Citations

Natural Ventilation in Buildings: Measurement in a Wind Tunnel and Numerical Simulation with Large Eddy Simulation

Yi Jiang;Donald Kneale Alexander;Huw Geraint Jenkins;Rob Arthur.
Journal of Wind Engineering and Industrial Aerodynamics (2003)

363 Citations

Experimental measurements and numerical simulations of particle transport and distribution in ventilated rooms

Z. Zhang;Q. Chen.
Atmospheric Environment (2006)

336 Citations

On approaches to couple energy simulation and computational fluid dynamics programs

Zhiqiang Zhai;Qingyan Chen;Philip Haves;Joseph H. Klems.
Building and Environment (2002)

317 Citations

Flow dynamics and characterization of a cough.

Jitendra K. Gupta;Chao-Hsin Lin;Qingyan Chen.
Indoor Air (2009)

294 Citations

Experimental and numerical investigation of airflow and contaminant transport in an airliner cabin mockup

Zhao Zhang;Xi Chen;Sagnik Mazumdar;Tengfei Zhang.
Building and Environment (2009)

278 Citations

Best Scientists Citing Qingyan Chen

Jiyuan Tu

Jiyuan Tu

RMIT University

Publications: 59

Bje Bert Blocken

Bje Bert Blocken

Eindhoven University of Technology

Publications: 59

Xianting Li

Xianting Li

Tsinghua University

Publications: 56

Jianlei Niu

Jianlei Niu

Hong Kong Polytechnic University

Publications: 54

Yuguo Li

Yuguo Li

University of Hong Kong

Publications: 49

Bin Zhao

Bin Zhao

Tsinghua University

Publications: 45

Cheuk Ming Mak

Cheuk Ming Mak

Hong Kong Polytechnic University

Publications: 38

Xudong Yang

Xudong Yang

Tsinghua University

Publications: 37

Peter V. Nielsen

Peter V. Nielsen

Aalborg University

Publications: 29

Yinping Zhang

Yinping Zhang

Tsinghua University

Publications: 29

Tin-Tai Chow

Tin-Tai Chow

City University of Hong Kong

Publications: 26

Arsen Krikor Melikov

Arsen Krikor Melikov

Technical University of Denmark

Publications: 25

Lin Lu

Lin Lu

Hong Kong Polytechnic University

Publications: 22

Zhiqiang (John) Zhai

Zhiqiang (John) Zhai

University of Colorado Boulder

Publications: 22

Jing Liu

Jing Liu

Chinese Academy of Sciences

Publications: 21

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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