Z
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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Intermolecular multiple-quantum coherences between spin 1/2 and quadrupolar nuclei in liquid nuclear magnetic resonance
Song Chen,Shuhui Cai,Zhong Chen +2 more
TL;DR: In this paper, an NMR pulse sequence was used to study the signal features from intermolecular multiple-quantum coherences between spin 1/2 and quadrupolar nuclei in solution NMR.
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Two-Dimensional J-Resolved NMR Analyses of Fish and Its Products via Spatially Encoded Intermolecular Double-Quantum Coherences
TL;DR: An NMR approach based on intermolecular double-quantum coherences (iDQCs) and spatial encoding technique to fast recover high-resolution two-dimensional (2D) J-resolved spectra in inhomogeneous fields is proposed and may constitute an effective technique in analyzing fish and its products.
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Interactions between diperoxovanadate complex and amide ligands in aqueous solution
TL;DR: Diffusion ordered spectroscopy measurements and theoretical calculations proved the formation of new product in bpV(ox) and ethylenediamine, which attached to the vanadium atom via one nitrogen atom in a monodentate manner.
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Single‐Crystalline InVO4 Nanotubes by Self‐Template‐Directed Fabrication
TL;DR: In this paper, single-crystalline InVO4 nanotubes have been successfully synthesized by annealing electrospun precursor fibers using self-template-directed mechanism.
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Ultrafast water–fat separation using deep learning–based single‐shot MRI
TL;DR: In this paper , a deep learning-based reconstruction method for spatiotemporally encoded single-shot MRI to simultaneously obtain water and fat images is presented, which can be used for image classification.