Y
Yan Chen
Researcher at Northwestern University
Publications - 521
Citations - 24026
Yan Chen is an academic researcher from Northwestern University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 67, co-authored 415 publications receiving 21798 citations. Previous affiliations of Yan Chen include AT&T Labs & Huawei.
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Journal ArticleDOI
A Novel Flexible Electrochemical Molecular Imprinted Sensor for the Determination of GABA in Serum of Depressed Mice
TL;DR: In this paper , a molecularly imprinted electrochemical sensor based on high-performance magnetically functionalized reduced graphene oxide (MRGO) was constructed for the sensitive detection of GABA in the serum of depressed mice.
Journal ArticleDOI
Does Autologous Transfusion Decrease Allogeneic Transfusion in Liposuction Surgery of Lymphedema Patients?
TL;DR: Autologous transfusion can reduce the transfusion volume of allogeneic blood and might be a beneficial mode of transfusion in these patients, and Ordinary least squares regression analysis suggests that autologous transfer in the ANH-only mode is statistically associated with allogeneIC transfusion.
Proceedings ArticleDOI
Power-Delay Tradeoff Improvement with Adaptive Modulation Scheme under Practical Power Model
TL;DR: Simulation results show that the proposed policy achieves about 20% power saving for the same delay performance, compared with fixed modulation level schemes, but the impact of the practical power consumption model under dynamic traffic does change the optimal modulation level selection philosophy.
Journal ArticleDOI
Reconstructing long‐term forest age of China by combining forest inventories, satellite‐based forest age and forest cover datasets
Jiangzhou Xia,Xiaosheng Xia,Yan Chen,Ruoque Shen,Zheyuan Zhang,Boyi Liang,Jia Wang,Wenping Yuan +7 more
Proceedings ArticleDOI
Novel Landslide Extraction Method of SAR Image Based on Change Detection and Polarization Decomposition
TL;DR: Wang et al. as discussed by the authors proposed a landslide detection method combining gray level co-occurrence matrix (GLCM) and polarization decomposition technique, which makes full use of the characteristics of the SAR image and combines the polarization information with the texture feature.