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Jianqing Wang

Researcher at Nagoya Institute of Technology

Publications -  263
Citations -  3405

Jianqing Wang is an academic researcher from Nagoya Institute of Technology. The author has contributed to research in topics: Bit error rate & Ultra-wideband. The author has an hindex of 29, co-authored 238 publications receiving 3096 citations. Previous affiliations of Jianqing Wang include Tohoku University & Korea Maritime and Ocean University.

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Proceedings ArticleDOI

Effectiveness evaluation of shielding material for reducing electromagnetic interference of cardiac pacemaker by portable information terminals

TL;DR: An FDTD model for predicting EMI levels in the pacemakers was introduced and it was shown that the resistive film has an excellent shielding effect so that even if the distance between the antenna and the human body is as close as 1.5 cm, the resistsive film enables one to secure an effective distance longer than 22 cm.
Journal ArticleDOI

Statistical Outliers in Voxel SARs and their Effect of Whole-Body Average SARs in Pregnant Woman and Child for Far-Field Exposure

TL;DR: In this paper, the authors derived histograms and cumulative relative distributions of the voxel SARs to determine statistical outliers for pregnant woman and 3-year-old child models, which suggests the possibility that finite-difference time-domain (FDTD)-calculated WBA-SARs may be overestimated due to the existence of statistically outliers.
Journal Article

Realizing Highly Localized Exposure in Small Animals with Absorbing Material Covered Holder to Test Biological Effects of 1.5 GHz Cellular Telephones

TL;DR: A 1.5GHz exposure setup was developed which has a highly localized specific absorption rate (SAR) of 2W/kg in the mouse brain and a low whole-body averaged SAR of 0.27W/ kg, which confirmed the effectiveness of the magnetic sheet attachment to the mouse holder.
Proceedings ArticleDOI

HBC-UWB Channel Modeling for In-body to On-body Communication Link

TL;DR: Channel characteristics based on HBC-UWB signals for typical in-body to on-body links, such as heart, brain, arm, small intestine to sensor nodes attached on the body surface, are investigated to derive a comprehensive a path-loss model using an anatomical human model.