Yiqiao Chen, Ph.D.

Affiliations: 
2005 Columbia University, New York, NY 
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"Yiqiao Chen"

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Wen Wang grad student 2005 Columbia
 (Indium arsenide high-velocity transistor: Design, molecular beam epitaxial growth, and device fabrication.)
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Publications

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Ablikim M, Achasov MN, Ahmed S, et al. (2016) Observation of an Anomalous Line Shape of the η^{'}π^{+}π^{-} Mass Spectrum near the pp[over ¯] Mass Threshold in J/ψ→γη^{'}π^{+}π^{-}. Physical Review Letters. 117: 042002
Ablikim M, Achasov MN, Ai XC, et al. (2016) Observation of h_{c} Radiative Decay h_{c}→γη^{'} and Evidence for h_{c}→γη. Physical Review Letters. 116: 251802
Zhao Z, Song X, Wang W, et al. (2016) Influences of iron and calcium carbonate on wastewater treatment performances of algae based reactors. Bioresource Technology. 216: 1-11
Li H, Cheng Y, Li J, et al. (2016) NaHCO3-Buffered Lidocaine Gel for Outpatient Rigid Cystoscopy in Men. Journal of Perianesthesia Nursing : Official Journal of the American Society of Perianesthesia Nurses / American Society of Perianesthesia Nurses. 31: 154-7
Zhao Y, Luo J, Xu S, et al. (2016) Selection of Reference Genes for Gene Expression Normalization in Peucedanum praeruptorum Dunn under Abiotic Stresses, Hormone Treatments and Different Tissues. Plos One. 11: e0152356
Liu X, Duan W, Chen Y, et al. (2016) Porous TiO2 Assembled from Monodispersed Nanoparticles. Nanoscale Research Letters. 11: 159
Wang WT, Sun YM, Huang W, et al. (2016) Genome-wide Long Non-coding RNA Analysis Identified Circulating LncRNAs as Novel Non-invasive Diagnostic Biomarkers for Gynecological Disease. Scientific Reports. 6: 23343
Ablikim M, Achasov MN, Ai XC, et al. (2016) Observation of the Singly Cabibbo-Suppressed Decay D^{+}→ωπ^{+} and Evidence for D^{0}→ωπ^{0}. Physical Review Letters. 116: 082001
An FP, Balantekin AB, Band HR, et al. (2016) Measurement of the Reactor Antineutrino Flux and Spectrum at Daya Bay. Physical Review Letters. 116: 061801
Guo J, Huang F, Liu J, et al. (2016) Corrigendum: The Serum Profile of Hypercytokinemia Factors Identified in H7N9-Infected Patients can Predict Fatal Outcomes. Scientific Reports. 6: 21230
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