His primary areas of study are Composite material, Carbon nanotube, Internal medicine, Thermoplastic polyurethane and Graphene. The study incorporates disciplines such as Percolation threshold and Strain in addition to Composite material. His studies deal with areas such as Fiber, Epoxy, Electrospinning and Strain sensor as well as Carbon nanotube.
While the research belongs to areas of Internal medicine, Changyu Shen spends his time largely on the problem of Cardiology, intersecting his research to questions surrounding Anesthesia. As a member of one scientific family, Changyu Shen mostly works in the field of Thermoplastic polyurethane, focusing on Piezoresistive effect and, on occasion, Polyurethane and Electrical resistivity and conductivity. He combines subjects such as Oxide and Fiber optic sensor, Optical fiber, Dispersion, Optics with his study of Graphene.
Changyu Shen mainly focuses on Composite material, Internal medicine, Optics, Cardiology and Optoelectronics. Composite material is closely attributed to Crystallization in his work. His Crystallization research includes elements of Crystallography, Differential scanning calorimetry, Optical microscope and Nucleation.
His research in the fields of Atrial fibrillation, Heart failure and Myocardial infarction overlaps with other disciplines such as Stellate ganglion. His study in Fiber Bragg grating, Optical fiber, Fiber optic sensor, Wavelength and Polarization-maintaining optical fiber falls within the category of Optics. His Cardiology research focuses on Anesthesia and how it connects with Ambulatory.
Changyu Shen focuses on Composite material, Chemical engineering, Internal medicine, Cardiology and Thermoplastic polyurethane. Composite material is represented through his Electromagnetic shielding, Composite number, Electrical conductor, Thermal conductivity and Layer research. Changyu Shen interconnects Optoelectronics and Gauge factor in the investigation of issues within Electrical conductor.
The various areas that he examines in his Chemical engineering study include Oxide, Adsorption and Nucleation. His Thermoplastic polyurethane research is multidisciplinary, relying on both Triboelectric effect and Porosity. His Retrospective cohort study research incorporates themes from Cohort study and Hazard ratio.
His primary areas of investigation include Composite material, Chemical engineering, Thermoplastic polyurethane, Electrical conductor and Ultimate tensile strength. He has included themes like Gauge factor and Strain in his Composite material study. His Nanocomposite, Thermal stability and Carbon nanotube study, which is part of a larger body of work in Chemical engineering, is frequently linked to Polylactic acid, bridging the gap between disciplines.
His work carried out in the field of Thermal stability brings together such families of science as Crystallization, Ethylene oxide and Scanning electron microscope. His study in Thermoplastic polyurethane is interdisciplinary in nature, drawing from both Nanogenerator, Porosity, Electronic skin and Graphene. When carried out as part of a general Electrical conductor research project, his work on Silver nanowires is frequently linked to work in Shield, therefore connecting diverse disciplines of study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Mild cognitive impairment, amnestic type: an epidemiologic study.
Mary Ganguli;Hiroko H. Dodge;Changyu Shen;Steven T. DeKosky.
Neurology (2004)
Lightweight conductive graphene/thermoplastic polyurethane foams with ultrahigh compressibility for piezoresistive sensing
Hu Liu;Hu Liu;Mengyao Dong;Wenju Huang;Jiachen Gao.
Journal of Materials Chemistry C (2017)
Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications
Hu Liu;Yilong Li;Kun Dai;Guoqiang Zheng.
Journal of Materials Chemistry C (2016)
Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method
Changyu Shen;Lixia Wang;Qian Li.
Journal of Materials Processing Technology (2007)
Electrically conductive strain sensing polyurethane nanocomposites with synergistic carbon nanotubes and graphene bifillers
Hu Liu;Hu Liu;Jiachen Gao;Wenju Huang;Kun Dai.
Nanoscale (2016)
Electrically conductive polymer composites for smart flexible strain sensors: a critical review
Hu Liu;Hu Liu;Qianming Li;Shuaidi Zhang;Rui Yin.
Journal of Materials Chemistry C (2018)
Fragmented Wide QRS on a 12-Lead ECG: A Sign of Myocardial Scar and Poor Prognosis
Mithilesh K. Das;Hussam Suradi;Waddah Maskoun;Mark A. Michael.
Circulation-arrhythmia and Electrophysiology (2008)
Alzheimer disease and mortality: a 15-year epidemiological study.
Mary Ganguli;Hiroko H. Dodge;Changyu Shen;Changyu Shen;Rajesh S. Pandav;Rajesh S. Pandav.
JAMA Neurology (2005)
Continuously prepared highly conductive and stretchable SWNT/MWNT synergistically composited electrospun thermoplastic polyurethane yarns for wearable sensing
Yahong Li;Bing Zhou;Guoqiang Zheng;Xianhu Liu.
Journal of Materials Chemistry C (2018)
Epigenetic Resensitization to Platinum in Ovarian Cancer
Daniela Matei;Fang Fang;Changyu Shen;Jeanne Schilder.
Cancer Research (2012)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Zhengzhou University
Zhengzhou University
Zhengzhou University
Cedars-Sinai Medical Center
Nanyang Technological University
Zhengzhou University
Guangdong University of Technology
Northumbria University
University of California, Los Angeles
University of Wisconsin–Madison
Rutgers, The State University of New Jersey
National University of Singapore
Southeast University
University of Manchester
University of Kassel
Michigan State University
University of Sheffield
Lancaster University
Newcastle University
Robert Koch Institute
University of New Hampshire
International Food Policy Research Institute
University of Pennsylvania
King's College London
University of Amsterdam
Columbia University