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Zhong Chen

Researcher at Nanyang Technological University

Publications -  1114
Citations -  37928

Zhong Chen is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Chemistry & Catalysis. The author has an hindex of 80, co-authored 1000 publications receiving 28171 citations. Previous affiliations of Zhong Chen include Institute of High Performance Computing Singapore & National Institute of Education.

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Ultrafast acquisition of localized two-dimensional magnetic resonance correlated spectra of inhomogeneous biological tissues with resolution improvements

TL;DR: In this article, NSF of China [11105114, 11174239], Fundamental Research Funds for the Central Universities [2010121010] and Fundamental Research Fund for Central Universities (FRLU)
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Modelling of Damage Evolution in Braided Composites: Recent Developments

TL;DR: In this paper, a comprehensive literature analysis is presented focused on a review of the state-of-the-art progressive damage analysis of braided composites with finite-element simulations, highlighting the importance, advantages and limitations of as-applied failure criteria and damage evolution laws for yarns and composite unit cells.
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Metabolomic Profilings of Urine and Serum from High Fat-Fed Rats via 1H NMR Spectroscopy and Pattern Recognition

TL;DR: NMR spectroscopy in combination with multivariate statistical analysis was applied to explore the metabolic variability in urine and serum of high fat-fed rats relative to normal chow-fed ones, useful for interpreting the pathology of obesity and further probing into the relationship between dietary-induced obesity and type 2 diabetes mellitus.
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Deciphering the metabolic perturbation in hepatic alveolar echinococcosis: a 1H NMR-based metabolomics study.

TL;DR: The altered Fischer ratio, together with perturbations in metabolic pathways identified in the present study, may provide new insights into the mechanistic understanding of HAE pathogenesis and potential therapeutic interventions.
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Wavelet-based edge correlation incorporated iterative reconstruction for undersampled MRI.

TL;DR: A new wavelet-based algorithm for undersampled MRI reconstruction that yields reconstructions with better edge recovery and noise suppression and an automatic estimated threshold adaptive to noise intensity is introduced in this proposed algorithm.