J
Jingjing He
Researcher at Beihang University
Publications - 84
Citations - 1470
Jingjing He is an academic researcher from Beihang University. The author has contributed to research in topics: Lamb waves & Paris' law. The author has an hindex of 17, co-authored 66 publications receiving 859 citations. Previous affiliations of Jingjing He include Peking University & Ningbo Institute of Technology, Zhejiang University.
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Proportion of asymptomatic coronavirus disease 2019: A systematic review and meta-analysis.
TL;DR: AsymPTomatic COVID‐19 patients could have abnormal laboratory and radiational manifestations, which can be used as screening strategies to identify asymptomatic infection.
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A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating
TL;DR: In this article, a new crack size quantification method based on in-situ Lamb wave testing and Bayesian method is presented, which uses coupon test to develop a baseline quantification model between the crack size and damage sensitive features.
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A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves
TL;DR: In this paper, a multi-feature integration method based on a second-order multivariate regression analysis is proposed for the prediction of fatigue crack lengths using sensor measurements, and the model parameters are obtained using training datasets from five specimens.
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Structural response reconstruction based on empirical mode decomposition in time domain
TL;DR: In this paper, a new method for structural response reconstruction of critical locations using measurements from remote sensors is developed, which is based on the empirical mode decomposition with intermittency criteria and transformation equations derived from finite element modeling.
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SARS-CoV-2 Omicron Variant: Epidemiological Features, Biological Characteristics, and Clinical Significance
Yifei Guo,Jiajia Han,Yao Zhang,Jingjing He,Weien Yu,Xueyun Zhang,Jingwen Wu,Shenyan Zhang,Yi-Ran Kong,Yue Guo,Yanxue Lin,Jiming Zhang +11 more
TL;DR: The SARS-CoV-2 Omicron variant possesses an unprecedented number of mutations, especially in the spike protein, which may be influencing its biological and clinical aspects and posing a significant challenge to control the coronavirus disease 2019 (COVID-19) pandemic.