Qi Li

Qi LiQi Li is an Associate Professor of Electrical Engineering at Tsinghua University, Beijing, China. His research interests focus on nanodielectrics for energy applications. He was the recipient of the MRS (Materials Research Society) Postdoctoral Awardin 2016, the IEEE Caixin Sun and Stan Grzybowski Young Professional Achievement Award in 2018, and the National Natural Science Fund for Excellent Young Scholars in 2019. He serves as an editorial member of IET Nanodielectrics. He is a member of the Professional Committee of Dielectric Polymer Composite Materials and Applications, Composite Materials Association of China, and a member of the Professional Committee of High Voltage, Beijing Electrical Engineering Association. He is an IEEE Senior Member, a Senior Member of the China Electrotechnical Society and he is also a member of the IET and MRS. Read More Read Less

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Art of War Collection14 % NR
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Digital Forensics and Watermarking37 %
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High Strength Support for Soft Surrounding Rock in Deep Underground Engineering37 %
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Proceedings of the 9th International Conference on Computer Engineering and Networks37 %
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High Strength Support for Soft Surrounding Rock in Deep Underground Engineering37 %
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Proceedings of the 9th International Conference on Computer Engineering and Networks37 %
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Empirical Seismic Vulnerability and Resilience Assessment of Building Clusters33 %
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Static Creep Micro-Macro Fracture Mechanics of Brittle Solids37 %
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Image and Video Technology37 %
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Security and Privacy in New Computing Environments37 %
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AI Computing Systems38 %
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Chinese Agricultural Technology Aid in Africa37 %
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G Protein-Coupled Receptors37 %
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Phytochemicals in Soybeans22 %
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Chinese Agricultural Technology Aid in Africa37 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202237 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202237 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202237 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202237 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202237 %
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