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Frontiers In Artificial Intelligence

SCIE

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

中科院分区
3区
CiteScore分区
Q1
JCR分区
Q1

基本信息：: ISSN：2624-8212; 是否OA：未开放; 是否预警：否; TOP期刊：否

出版信息：: 出版地区：Switzerland; 出版商：Frontiers Media S.A.; 出版语言：English; 研究方向：Multiple

评价信息：: 影响因子：6.7; CiteScore指数：8; SJR指数：1.007; SNIP指数：1.653

发文数据：: Gold OA文章占比：100.00%; 研究类文章占比：84.81%; 年发文量：553; 自引率：0.025; 开源占比：0.9947; 出版撤稿占比：; 出版国人文章占比：0; OA被引用占比：

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英文简介期刊介绍 CiteScore数据中科院SCI分区 JCR分区发文数据常见问题

英文简介Frontiers In Artificial Intelligence期刊介绍

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.

期刊简介Frontiers In Artificial Intelligence期刊介绍

《Frontiers In Artificial Intelligence》是一本计算机科学优秀杂志。致力于发表原创科学研究结果，并为计算机科学各个领域的原创研究提供一个展示平台，以促进计算机科学领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道计算机科学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

预计审稿时间：13 Weeks
计算机科学
计算机人工智能
SCIE
中科院3区
非预警

Cite Score数据（2026年6月最新版）Frontiers In Artificial Intelligence Cite Score数据

CiteScore：8
SJR：1.007
SNIP：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%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础，针对的是前四年发表的论文的引文。CiteScore的意义在于，它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法，而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Frontiers In Artificial Intelligence 中科院分区

《新锐期刊分区表》（2026年3月发布） 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
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

期刊分区表（2025年3月升级版） 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
计算机科学	4区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统	4区 4区

中科院分区表 是以客观数据为基础，运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据，得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次，类似于“优、良、及格”等。最开始，这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Frontiers In Artificial Intelligence JCR分区

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

2023-2024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	Q2	92 / 197	53.6
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q2	95 / 249	62
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q3	115 / 198	42.17
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q3	147 / 251	41.63

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异，此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此，JCR将期刊按照学科门类和影响因子分为不同的分区，这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

本刊中国学者近年发表论文

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