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.
Papers
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Journal ArticleDOI
A Microscopic Hyperspectral-Based Centroid Wavelength Method for Measuring Two-Dimensional Junction Temperature Distribution of LEDs
Jian Jin,Yang Gao,Yu-Jiao Ruan,Yulin Gao,Lihong Zhu,Ziquan Guo,Yue Lin,Chen Guolong,Zhong Chen,Yijun Lu +9 more
TL;DR: In this article, the authors proposed an experimental method for determining two-dimensional junction temperature distribution of light-emitting diodes (LEDs) using microscopic hyperspectral-based centroid wavelength.
Journal ArticleDOI
Changes in brain iron concentration after exposure to high-altitude hypoxia measured by quantitative susceptibility mapping
TL;DR: The magnetic susceptibility value can serve as a quantitative marker of brain iron, and variations of regional susceptibility reported herein indicate that HA hypoxia can result in significant iron deposition in most deep gray matter regions.
Patent
Method for obtaining high-resolution two-dimensional J decomposition spectrum
TL;DR: In this article, a method for obtaining a high-resolution two-dimensional J decomposition spectrum was proposed, which relates to a nuclear magnetic resonance spectroscopy detection method, and includes loading a sample to be detected into a standard nuclear magnetic test tube, and conveying into the detection chamber of a NMS.
Journal ArticleDOI
Classification of nasopharyngeal cell lines (C666-1, CNE2, NP69) via Raman spectroscopy and decision tree
TL;DR: This work shows that the relative content of two histological abnormality sensitive bands in tumor cells is significantly different from that of normal cells, and can be a biomarker to classify these cells, which will indicate the decision tree to be the primary algorithm in tumor-cell classification.
Journal ArticleDOI
Improvement in the contrast of CEST MRI via intermolecular double quantum coherences.
TL;DR: A modified COSY (two-dimensional correlated spectroscopy) revamped with an asymmetric Z-gradient echo detection sequence combined with an off-resonance saturation pulse followed by a standard spin-echo imaging sequence was designed to obtain a better CEST contrast image based on the intermolecular double quantum coherence method.