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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Background field removal for susceptibility mapping of human brain with large susceptibility variations
TL;DR: The goal of this study was to develop a strategy to better remove orientation dependent background field in quantitative susceptibility mapping of human brain.
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A novel in situ electrochemical NMR cell with a palisade gold film electrode
TL;DR: In this paper, a palisade gold film was proposed to act as the working electrode and the NMR nutation behavior of protons showed that the uniformity of the radio frequency field is greatly improved, increasing the sensitivity in NMR detection.
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Determining Junction Temperature of LEDs by the Relative Reflected Intensity of the Incident Exciting Light
TL;DR: In this paper, a lock-in technique was used to exclude the interference of the emitting light from LEDs under test and to increase the dynamic range greatly, and the results were in good agreement with those directly tested by a microthermocouple.
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Determining Junction Temperature in InGaN Light-Emitting Diodes Using Low Forward Currents
Si-Qi Lin,Tien-Mo Shih,Yijun Lu,Yulin Gao,Lihong Zhu,Chen Guolong,Biqing Wu,Ziquan Guo,Jihong Zhang,Xian-Guang Fan,Richard Ru-Gin Chang,Zhong Chen +11 more
TL;DR: In this paper, an experimental method that determines junction temperatures in light-emitting diodes by measuring currents while holding the low forward voltages constant is proposed. But the method is limited to single-input single-out (SISO) and single-output (SIMO) configurations.
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Optimization on Adhesive Stamp Mass-Transfer of Micro-LEDs With Support Vector Machine Model
TL;DR: In this work, the process of adhesive stamp mass-transfer of micro light-emitting diode (micro-LED) is optimized by a Support Vector Machine (SVM) model, implying that more sophisticated definition of signal features is demanded in future work.