Insights Into Imaging SCIE

国际简称：INSIGHTS IMAGING 参考译名：洞察成像

主要研究方向：Medicine-Radiology, Nuclear Medicine and Imaging 非预警期刊审稿周期： 13 Weeks

《洞察成像》(Insights Into Imaging)是一本由Springer Berlin Heidelberg出版的以Medicine-Radiology, Nuclear Medicine and Imaging为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

2区中科院分区
Q1 JCR分区
208 年发文量
4.1 IF影响因子
开放是否OA
2010 创刊年份
1 issue/year 出版周期
English 出版语言

Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere!

I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe.

Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy.

A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field.

I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly.

The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members.

The journal went open access in 2012, which means that all articles published since then are freely available online.

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Insights Into Imaging期刊信息

ISSN：1869-4101
出版语言：English
是否OA：开放
E-ISSN：1869-4101
出版地区：GERMANY
是否预警：否
出版商：Springer Berlin Heidelberg
出版周期：1 issue/year
创刊时间：2010
开源占比：0.996
Gold OA文章占比：99.66%
OA被引用占比：1
出版国人文章占比：0.02
出版撤稿占比：0
研究类文章占比：77.40%

Insights Into Imaging CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

7.3

1.24

2.142

学科类别	分区	排名	百分位
大类：Medicine 小类：Radiology, Nuclear Medicine and Imaging	Q1	42 / 333	87%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Insights Into Imaging中科院评价数据

中科院 2023年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	医学	2区	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学	2区

中科院 2022年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	医学	2区	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学	2区

中科院 2021年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	医学	3区	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学	3区

中科院 2021年12月基础版

Top期刊	综述期刊	大类学科		小类学科
否	否	医学	2区	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学	2区

中科院 2021年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	医学	3区	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学	3区

中科院 2020年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	医学	3区	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学	3区

Insights Into Imaging JCR评价数据（2023-2024年最新版）

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	30 / 204	85.5%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	30 / 204	85.54%

Insights Into Imaging历年数据统计

影响因子

中科院分区

Insights Into Imaging中国学者发文选摘

1、Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors
Author: Jan, Ya-Ting; Tsai, Pei-Shan; Huang, Wen-Hui; Chou, Ling-Ying; Huang, Shih-Chieh; Wang, Jing-Zhe; Lu, Pei-Hsuan; Lin, Dao-Chen; Yen, Chun-Sheng; Teng, Ju-Ping; Mok, Greta S. P.; Shih, Cheng-Ting; Wu, Tung-Hsin

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-023-01412-x
2、Multi-channel deep learning model-based myocardial spatial-temporal morphology feature on cardiac MRI cine images diagnoses the cause of LVH
Author: Diao, Kaiyue; Liang, Hong-qing; Yin, Hong-kun; Yuan, Ming-jing; Gu, Min; Yu, Peng-xin; He, Sen; Sun, Jiayu; Song, Bin; Li, Kang; He, Yong

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-023-01401-0
3、CT and MRI features of hepatic epithelioid haemangioendothelioma: a multi-institutional retrospective analysis of 15 cases and a literature review
Author: Luo, Lianmei; Cai, Zeyu; Zeng, Sihui; Wang, Lizhu; Kang, Zhuang; Yang, Ning; Zhang, Yaqin

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-022-01344-y
4、Predicting histologic differentiation of solitary hepatocellular carcinoma up to 5 cm on gadoxetate disodium-enhanced MRI
Author: Yang, Ting; Wei, Hong; Wu, Yuanan; Qin, Yun; Chen, Jie; Jiang, Hanyu; Song, Bin

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-022-01354-w
5、Predictive models and early postoperative recurrence evaluation for hepatocellular carcinoma based on gadoxetic acid-enhanced MR imaging
Author: Li, Qian; Wei, Yi; Zhang, Tong; Che, Feng; Yao, Shan; Wang, Cong; Shi, Dandan; Tang, Hehan; Song, Bin

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-022-01359-5
6、Impact of glycemic control on biventricular function in patients with type 2 diabetes mellitus: a cardiac magnetic resonance tissue tracking study
Author: Zhu, Jing; Li, Wenjia; Chen, Fang; Xie, Zhen; Zhuo, Kaimin; Huang, Ruijue

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-022-01357-7
7、Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions
Author: He, Quan-Hao; Feng, Jia-Jun; Lv, Fa-Jin; Jiang, Qing; Xiao, Ming-Zhao

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-022-01349-7
8、A feasibility study of reduced full-of-view synthetic high-b-value diffusion-weighted imaging in uterine tumors
Author: Tang, Qian; Zhou, Qiqi; Chen, Wen; Sang, Ling; Xing, Yu; Liu, Chao; Wang, Kejun; Liu, Weiyin Vivian; Xu, Lin

Journal: INSIGHTS INTO IMAGING. 2023; Vol. 14, Issue 1, pp. -. DOI: 10.1186/s13244-022-01350-0