Numerical Implementation of Representative Mobile Phone Models for Epidemiological Studies-Reference-Cited by-同舟云学术

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Numerical Implementation of Representative Mobile Phone Models for Epidemiological Studies

Published:2016-04-30 Issue:2 Volume:16 Page:87-99
ISSN:2234-8409
Container-title:Journal of electromagnetic engineering and science
language:en
Short-container-title:Journal of electromagnetic engineering and science

Author:

Lee Ae-Kyoung,Yoon Yonghyun,Lee Sooyung,Lee Byungje,Hong Seon-Eui,Choi Hyung-Do,Cardis Elisabeth

Publisher

Korean Institute of Electromagnetic Engineering and Science

Subject

General Medicine

Link

http://ocean.kisti.re.kr/downfile/crosscheck/kees/JAKO201614137728313.pdf

Reference14 articles.

1. The estimation of 3D SAR distributions in the human head from mobile phone compliance testing data for epidemiological studies

2. Analysis of three-dimensional SAR distributions emitted by mobile phones in an epidemiological perspective

3. The INTERPHONE study: design, epidemiological methods, and description of the study population

4. Estimation of RF energy absorbed in the brain from mobile phones in the Interphone Study

5. Risk of brain tumours in relation to estimated RF dose from mobile phones: results from five Interphone countries

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dosimetric assessment in the brain for downlink EMF exposure in Korean mobile communication networks;Environmental Research;2023-10

2. Impact of Radiofrequency Exposure From Mobile Phones on the Risk of Developing Brain Tumors in Korean and Japanese Adolescents: A MOBI-Kids Case-control Study;Journal of Epidemiology;2023

3. Development of a Numerical Tablet Model in WLAN Band for SAR Study;Journal of Electromagnetic Engineering and Science;2022-09-30

4. Estimation of RF and ELF dose by anatomical location in the brain from wireless phones in the MOBI-Kids study;Environment International;2022-05

5. Numerical Modeling of Smartphones with WCDMA, LTE, and WLAN Bands for Epidemiological Studies;Journal of Electromagnetic Engineering and Science;2022-01-31

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