当前位置: 首页 SCI 期刊 计算机科学 Advanced Intelligent Systems(非官网)
Advanced Intelligent Systems

Advanced Intelligent SystemsSCIE

国际简称:ADV INTELL SYST-GER  参考译名:先进智能系统

  • 中科院分区

    3区

  • CiteScore分区

    Q3

  • JCR分区

    Q1

基本信息:
ISSN:2640-4567
E-ISSN:2640-4567
是否OA:开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:Germany
出版商:Wiley
出版语言:English
研究方向:Multiple
评价信息:
影响因子:6.8
CiteScore指数:1.3
发文数据:
Gold OA文章占比:86.43%
研究类文章占比:88.27%
年发文量:375
自引率:0.0540...
开源占比:0.7965
出版撤稿占比:
出版国人文章占比:0
OA被引用占比:
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Advanced Intelligent Systems期刊介绍

Advanced Intelligent Systems is a leading academic platform dedicated to high-quality scientific and engineering research published in the field of intelligent systems. These studies cover a wide range of fields from fundamental theory to practical applications, including but not limited to machine learning, artificial intelligence, neural networks, natural language processing, computer vision, robotics, and adaptive control systems.

The journal emphasizes innovation and practicality, encouraging researchers to explore how to design and implement intelligent systems that can recognize environmental stimuli, process information, make decisions, and learn from experience. These systems can simulate the human learning process and continuously optimize their performance through data-driven methods to adapt to constantly changing environments and demands. Pay special attention to research results that can drive technological progress and solve real-world problems. For example, intelligent medical diagnosis system, autonomous vehicle, intelligent home control system and intelligent manufacturing process.

期刊简介Advanced Intelligent Systems期刊介绍

《Advanced Intelligent Systems》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:

Cite Score数据(2024年最新版)Advanced Intelligent Systems Cite Score数据

  • CiteScore:1.3
  • SJR:0
  • SNIP:0
学科类别 分区 排名 百分位
大类:Materials Science 小类:Materials Science (miscellaneous) Q3 136 / 196

30%

大类:Materials Science 小类:Mechanical Engineering Q3 472 / 672

29%

大类:Materials Science 小类:Electrical and Electronic Engineering Q3 597 / 797

25%

大类:Materials Science 小类:Control and Systems Engineering Q4 249 / 321

22%

大类:Materials Science 小类:Artificial Intelligence Q4 295 / 350

15%

大类:Materials Science 小类:Human-Computer Interaction Q4 127 / 145

12%

大类:Materials Science 小类:Computer Vision and Pattern Recognition Q4 94 / 106

11%

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Advanced Intelligent Systems 中科院分区

中科院 2023年12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 3区 AUTOMATION & CONTROL SYSTEMS 自动化与控制系统 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ROBOTICS 机器人学 3区 3区 3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Advanced Intelligent Systems JCR分区

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:AUTOMATION & CONTROL SYSTEMS SCIE Q1 9 / 84

89.9%

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 30 / 197

85%

学科:ROBOTICS SCIE Q1 7 / 46

85.9%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:AUTOMATION & CONTROL SYSTEMS SCIE Q1 19 / 84

77.98%

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 48 / 198

76.01%

学科:ROBOTICS SCIE Q2 12 / 46

75%

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、Progress, Challenges, and Prospects of Soft Robotics for Space Applications

    Author: Zhang, Yongchang; Li, Pengchun; Quan, Jiale; Li, Longqiu; Zhang, Guangyu; Zhou, Dekai

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 3, pp. -. DOI: 10.1002/aisy.202200071

  • 2、Design of a Liquid-Driven Laser Scanner with Low Voltage Based on Liquid-Infused Membrane

    Author: Zhang, Chunqi; Mo, Hangjie; Zheng, Liushuai; Zhao, Han; Feng, Gang; Sun, Dong

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 1, pp. -. DOI: 10.1002/aisy.202200259

  • 3、A Visual Variability and Visuo-Tactile Coordination Inspired Child Adaptation Mechanism for Wearable Age Group Recognition and Activity Recognition

    Author: Kang, Peiqi; Li, Jinxuan; Jiang, Shuo; Shull, Peter B.

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 1, pp. -. DOI: 10.1002/aisy.202200236

  • 4、Bioinspired Hierarchical Structure for an Ultrawide-Range Multifunctional Flexible Sensor Using Porous Expandable Polyethylene/Loofah-Like Polyurethane Sponge Material

    Author: Zhao, Zhou; Guo, Qingkai; Sun, Yu; An, Ningli; Hui, Pengzhe; Yang, Laihao; Chen, Xuefeng

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 1, pp. -. DOI: 10.1002/aisy.202200295

  • 5、Wearable Perovskite-Based Shadow Recognition Sensor for Ambient and Nonobtrusive Human-Computer Interaction

    Author: Wu, Tingqing; Huang, Zengqi; Li, Lin; Sun, Wei; Xue, Tangyue; Pan, Qi; Xie, Hongfei; Chen, Sisi; Guo, Lutong; Chi, Jimei; Wang, Huadong; Zhang, Zeying; Han, Teng; Su, Meng; Song, Yanlin

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 1, pp. -. DOI: 10.1002/aisy.202200307

  • 6、Selective Detection of Mixtures via a Single Nonselective Sensor-Making the Unworkable Sensor Workable by Machine Learning

    Author: Liu, Luzheng; Hu, Chuxiong; Ou, Tiansheng; Wang, Ze; Zhu, Yu; Na, Na

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 1, pp. -. DOI: 10.1002/aisy.202200136

  • 7、In-Sensor Reservoir Computing Based on Optoelectronic Synapse

    Author: Sun, Yi; Li, Qingjiang; Zhu, Xi; Liao, Cen; Wang, Yongzhou; Li, Zhiwei; Liu, Sen; Xu, Hui; Wang, Wei

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 1, pp. -. DOI: 10.1002/aisy.202200196

  • 8、Discriminative Transition Sequences of Origami Metamaterials for Mechanologic

    Author: Liu, Zuolin; Fang, Hongbin; Xu, Jian; Wang, Kon-Well

    Journal: ADVANCED INTELLIGENT SYSTEMS. 2023; Vol. 5, Issue 1, pp. -. DOI: 10.1002/aisy.202200146

投稿常见问题