Author
Junjie Liu
Other affiliations: Singapore–MIT alliance, National University of Singapore, Fudan University ...read more
Bio: Junjie Liu is an academic researcher from Tianjin University. The author has contributed to research in topics: Airflow & Medicine. The author has an hindex of 28, co-authored 199 publications receiving 3284 citations. Previous affiliations of Junjie Liu include Singapore–MIT alliance & National University of Singapore.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a brief overview of building energy-consumption situations, relevant energy-saving approaches, and the influence of global climate change is presented, along with some suggestions for further developing ZEBs.
784 citations
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TL;DR: An overview of the typical PIV technologies used in indoor environment and the state of the art applications of PIV in measuring the indoor airflow fields shows that the quantitative and detailed turbulent flow information obtained by PIV is critical for analyzing turbulent properties and validating numerical simulations.
123 citations
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TL;DR: In this article, the authors used a laser tracking system and reverse engineering to generate a digital model of an MD-82 aircraft cabin, which was used for validating Computational Fluid Dynamics (CFD) models, including cabin geometry, boundary conditions of diffusers, and high-resolution flow field in the first-class cabin of a commercial airliner.
93 citations
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TL;DR: A literature review on studies using machine learning (ML) models to predict occupancy and window-opening behaviour and their application in smart buildings finds that the energy consumption of heating, ventilation and air-conditioning systems can be reduced by 23% on average by optimizing the control strategy of HVAC systems according to the occupancy information predicted by the ML models.
88 citations
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TL;DR: In this paper, the authors evaluated three turbulence models in different categories: the RNG k-e model, LES, and DES for the steady-state flow in the first-class cabin of a functional MD-82 commercial airliner.
85 citations
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28,685 citations
01 Jan 2009
TL;DR: Current knowledge of lung cancers arising in never smokers versus smokers is summarized, suggesting that they are separate entities.
Abstract: Although most lung cancers are a result of smoking, approximately 25% of lung cancer cases worldwide are not attributable to tobacco use, accounting for over 300,000 deaths each year. Striking differences in the epidemiological, clinical and molecular characteristics of lung cancers arising in never smokers versus smokers have been identified, suggesting that they are separate entities. This Review summarizes our current knowledge of this unique and poorly understood disease.
1,025 citations
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TL;DR: It is demonstrated that the nosocomial transmission by airborne SARS-CoV-2 viral-laden aerosols in healthcare facilities may be plausible and clearly defined, science-based administrative, clinical, and physical measures are of paramount importance to eradicate the COVID-19 pandemic from the world.
871 citations