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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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Preliminary study of feasibility of whole body diffusion weighted imaging in diagnosis of metastasis of tumor.

TL;DR: In this paper, the authors evaluated the feasibility of whole body diffusion weighted imaging (DWI) in the diagnosis of metastatic tumor and found that DWI showed the highest sensitivity and specificity for detecting metastasis of the skeletal system.
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Metabolic fate and subchronic biological effects of core-shell structured Fe3O4@SiO2-NH2 nanoparticles.

TL;DR: Preliminary validation for the potential use of Fe@Si-NPs in clinical medicine is provided and identifiable ground for the dose selection and bio-nanoagent optimization is given.
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1H NMR-Based Metabolic Profiles Delineate the Anticancer Effect of Vitamin C and Oxaliplatin on Hepatocellular Carcinoma Cells.

TL;DR: In this article, the authors used a high-resolution proton nuclear magnetic resonance-based metabolomics technique to assess the global metabolic changes in HCC cells following vitamin C treatment.
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Tailoring electronic structure and size of ultrastable M‐MOFs (M = Co, Ni) with enhanced electroconductivity for high‐performance supercapacitor

TL;DR: In this paper, a nanoscale MOF, Co 0.24 Ni 0.76 -bpa-200, possessing ultrahigh stability with uncommon semiconductor behavior was fabricated by a combination of robust hydrophobic paddlewheel, optimized Co/Ni ratio, MOF size and conjugated degree of coligand.
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Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain.

TL;DR: A diffusion-regularized STI method (DRSTI) that employs a tensor spectral decomposition constraint to regularize the STI solution using the fiber directions estimated by DTI as a priori, and enables a more accurate susceptibility tensor estimation with a reduced number of sampling orientations.