Japanese Journal of Radiology Template
Write in a clean editor, then format for Japanese Journal of Radiology in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Japanese Journal of Radiology format
Japanese Journal of Radiology is a peer-reviewed journal published by Springer Nature, covering Legal and Regulatory Analysis, Linguistic, Cultural, and Literary Studies, Military Technology and Strategies.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Japanese Journal of Radiology 12, 45–58 (2023).
Formats any DOI in Japanese Journal of Radiology style. No sign-up. |
| Publishes research in | Legal and Regulatory Analysis Linguistic, Cultural, and Literary Studies Military Technology and Strategies MRI in cancer diagnosis Radiomics and Machine Learning in Medical Imaging |
| ISSN | 1867-1071 |
| Citation impact (2-yr) | 3.43 |
| h-index | 60 |
| i10-index | 910 |
| Total citations | 30,884 |
| Article processing charge | $3,790 |
| Top institutions publishing here | The University of Tokyo |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Japanese Journal of Radiology per year
Citation impact of Japanese Journal of Radiology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Japanese Journal of Radiology
In this review, we address the issue of fairness in the clinical integration of artificial intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a subfield of AI, progresses, concerns have arisen regarding the impact of AI biases and discrimination on patient health. This review aims to provide a comprehensive…
PURPOSE: The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was developed to evaluate the brain's glymphatic function or interstitial fluid dynamics. This study aimed to evaluate the reproducibility of the DTI-ALPS method and the effect of modifications in the imaging method and data evaluation. MATERIALS AND METHODS: Seven healthy volunteers were enrolled…