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Jun Fu

Researcher at Tsinghua University

Publications -  52
Citations -  193

Jun Fu is an academic researcher from Tsinghua University. The author has contributed to research in topics: Equivalent circuit & Irradiation. The author has an hindex of 7, co-authored 50 publications receiving 155 citations.

Papers
More filters
Journal ArticleDOI

Compact Dual-band Bandpass Filter Using Coupled Lines Multimode Resonator

TL;DR: In this paper, a quad-mode resonator is proposed for novel design of dual-band bandpass filters (DBBPFs) with good selectivity and compact size The symmetrical resonator consists of a pair of coupled line sections (CLSs) and a transmission line section (TLS) Odd/evenmode method is used to clarify the mode characteristics four excited resonant modes are applied to produce two passbands.
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The total-dose-effects of gamma and proton irradiations on high-voltage silicon–germanium heterojunction bipolar transistors

TL;DR: In this paper, the total dose effects of gamma and proton irradiations on high-voltage silicon-germanium heterojunction bipolar transistors with the collector electrode elicited from the backside of the substrate are investigated.
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Irradiation effects of 25 MeV silicon ions on SiGe heterojunction bipolar transistors

TL;DR: In this paper, the performance degradation of SiGe HBTs after 25 MeV Si4+ ion irradiation was investigated and the displacement damages in the transistor were found to dominate the degradation.
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A Miniaturized Integrated SAW Sensing System for Relative Humidity Based on Graphene Oxide Film

TL;DR: In this article, a miniaturized integrated relative humidity (RH) sensing system from surface acoustic wave (SAW) sensor to circuits and software is described, which shows great feasibility and tremendous potential for relative humidity measurement applications.
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A Complete Small-Signal MOSFET Model and Parameter Extraction Technique for Millimeter Wave Applications

TL;DR: In this paper, a method for parameter extraction for a complete MOSFET small signal equivalent circuit model addressing nearly all the parasitic and non-quasi-static (NQS) effects is proposed.