Frontiers In Artificial Intelligence

SCIE

国际简称：Frontiers In Artificial Intelligence 参考译名：人工智能前沿

主要研究方向：Multiple 非预警期刊审稿周期：13 Weeks

《人工智能前沿》(Frontiers In Artificial Intelligence)是一本由Frontiers Media S.A.出版的以Multiple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。该期刊是一本未开放期刊，近三年没有被列入预警名单。

3区中科院分区
Q1 JCR分区
553 年发文量
6.7 IF影响因子
未开放 是否OA
English 出版语言

Frontiers in Artificial Intelligence is an international academic journal focused on the field of artificial intelligence, published by Frontiers Media SA. This journal aims to publish cutting-edge research in artificial intelligence and its subfields, including but not limited to machine learning, neural computing, cognitive science, robotics, computer vision, and natural language processing. The journal adopts an open access model to ensure that research results can be quickly and widely disseminated to the global scientific community and the public.

The magazine emphasizes the application of interdisciplinary research and innovative methods. Journals ensure the quality of published research through a peer review process, ensuring that only high-quality papers that have undergone rigorous review are accepted. In addition, the open access policy of journals enables all researchers to access and utilize these resources for free, thereby accelerating scientific discoveries and technological development. It is an important international academic journal in the field of artificial intelligence, which not only provides a platform to showcase the latest research results, but also has a significant impact on the global artificial intelligence research community through its high influence and extensive academic network. For scholars who wish to engage in academic exchanges and promote research results in the field of artificial intelligence, this journal is an ideal publishing channel.

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Frontiers In Artificial Intelligence期刊信息

ISSN：2624-8212
出版语言：English
是否OA：未开放
出版地区：Switzerland
是否预警：否
出版商：Frontiers Media S.A.
开源占比：0.9947
Gold OA文章占比：100.00%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：84.81%

Frontiers In Artificial Intelligence CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

1.007

1.653

学科类别	分区	排名	百分位
大类：Computer Science 小类：Artificial Intelligence	Q1	127 / 570	77%

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。

Frontiers In Artificial Intelligence中科院评价数据

《新锐期刊分区表》（2026年3月发布）

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统	3区 3区

Frontiers In Artificial Intelligence JCR评价数据

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q1	43 / 210	79.8
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q1	38 / 266	85.9
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q2	78 / 210	63.1
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q2	118 / 266	55.83

Frontiers In Artificial Intelligence历年数据统计

影响因子

中科院分区

Frontiers In Artificial Intelligence中国学者发文选摘

1、Explainable neuro-symbolic artificial intelligence for automated interpretation of corneal topography and early keratoconus detectio
Author: Wang, Mini Han; Qin, Shuai

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1713747
2、From microscopy to antimicrobial decisions: a clinically grounded roadmap for critical care infectious disease
Author: Qu, Hui-Ling; Li, Jia-Nan; Gao, Yang; Xu, Xi-Meng; Zhang, Xiao-Bin; Yang, Shi-Da

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1807400
3、Application of an iterative generative AI-augmented teaching model in medical immunology educatio
Author: Niu, Yanli; Xu, Jiajin; Yang, Wenqi; Yuan, Hongmin; Liu, Zhonghua; Zhang, Weijuan; Liu, Lingyun

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1788369
4、Limitations of current copyright frameworks for large language models trained on scientific literatur
Author: Huang, Yuanyuan; Liu, Hui

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1781692
5、TCMI-F-6D benchmark construction and quantitative assessment of interdisciplinary foundational competencies in traditional Chinese medicine informatics using large language model
Author: Teng, Zhaohang; Chang, Jing; Xu, Yongxiang; Kan, Hongxing; Ou, Yangting; Hu, Jili; Gu, Zongyun; Yang, Yinfeng; Shu, Jianhua

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1780967
6、Dynamic-focus transformer for point cloud segmentatio
Author: Wang, Ziwen; Fan, Xiaoting; Yu, Mei; Liu, Jianlu; Wang, Shuai; Wang, Yonghua; Wu, Chuanfu

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1796099
7、LSML-SF: a lightweight stacked ML approach for spreading factor allocation in mobile IoT LoRaWAN networks (vol 9, 1704369, 2026
Author: Farhad, Arshad; Lodhi, Muhammad Ali; Nisar, Farhan; Hadi, Hassan Jalil; Ahmad, Naveed; Ladan, Mohamad

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1819135
8、Evaluating Chain-of-Thought reasoning in large language models for thyroid ultrasound interpretation: a dual-information approac
Author: Zhang, Yu-Tong; Wu, Si-Yi; Zhang, Dong; Yang, Zheng-Yi; Zhao, Sheng-Wei; Han, Hong-Cheng; Yuan, Xin; Wang, Li-Rong; Jue, Jiang; Du, Shao-Yi; Zhou, Qi; Wang, Juan

Journal: FRONTIERS IN ARTIFICIAL INTELLIGENCE. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/frai.2026.1780373