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International Journal Of Knowledge-based And Intelligent Engineering Systems

International Journal Of Knowledge-based And Intelligent Engineering Systems

SCIE

国际简称:INT J KNOWL-BASED IN  参考译名:国际知识与智能工程系统杂志

  • 中科院分区

    4区

  • CiteScore分区

    Q2

  • JCR分区

    Q4

基本信息:
ISSN:1327-2314
E-ISSN:1875-8827
是否OA:未开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:Netherlands
出版商:SAGE Publications (formerly IOS Press)
出版语言:English
出版周期:4 issues/year
研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
评价信息:
影响因子:1.3
CiteScore指数:3.3
SJR指数:0.273
SNIP指数:0.509
发文数据:
Gold OA文章占比:0.00%
研究类文章占比:100.00%
年发文量:25
自引率:0
开源占比:0
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International Journal Of Knowledge-based And Intelligent Engineering Systems期刊介绍

The International Journal of Knowledge based and Intelligent Engineering Systems is an influential academic journal. Intended to promote research and development in knowledge engineering, artificial intelligence, and related fields, providing a platform for scholars and professionals to exchange and share the latest research results. By publishing high-quality original research papers, review articles, and practical reports, we have promoted progress in the field of knowledge-based and intelligent engineering systems.

It has significant value for both academia and industry. It helps researchers understand the latest developments and cutting-edge technologies in the field, providing theoretical support and innovative ideas for practical applications; At the same time, it also provides valuable references for professionals in related industries, promoting the widespread application and development of intelligent engineering systems in various fields. It covers a wide range of topics, including but not limited to the theory and applications of intelligent systems, knowledge representation and reasoning, machine learning, data mining, pattern recognition, natural language processing, expert systems, intelligent control, robotics, decision support systems, and more.

期刊简介International Journal Of Knowledge-based And Intelligent Engineering Systems期刊介绍

《International Journal Of Knowledge-based And Intelligent Engineering 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(2026年6月最新版)International Journal Of Knowledge-based And Intelligent Engineering Systems Cite Score数据

  • CiteScore:3.3
  • SJR:0.273
  • SNIP:0.509
学科类别 分区 排名 百分位
大类:Mathematics 小类:Statistics and Probability Q2 94 / 303

69%

大类:Mathematics 小类:Statistics, Probability and Uncertainty Q2 62 / 178

65%

大类:Mathematics 小类:Control and Systems Engineering Q2 182 / 390

53%

大类:Mathematics 小类:Artificial Intelligence Q2 266 / 570

53%

大类:Mathematics 小类:Software Q3 274 / 503

45%

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International Journal Of Knowledge-based And Intelligent Engineering Systems 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 4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 4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 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International Journal Of Knowledge-based And Intelligent Engineering Systems 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 Q4 173 / 210

17.9

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q4 183 / 210

13.1

2024-2025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 Q4 155 / 204

24.3

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q4 184 / 204

10.05

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 Q4 185 / 197

6.3

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q4 195 / 198

1.77

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

发文数据

国家/地区发文量统计
  • 国家/地区数量
  • India50
  • CHINA MAINLAND23
  • Iran8
  • Malaysia3
  • USA3
  • Algeria1
  • Bahrain1
  • Canada1
  • Ecuador1
  • Egypt1

本刊中国学者近年发表论文

  • 1、Using a machine learning method with novel optimization algorithms in estimating compressive strength rates in ultra-high performance concret

    Author: Wang, Jing; Yin, Suyuan; Li, Jingtao

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. 29, Issue 2, pp. 171-187. DOI: 10.1177/13272314241295963

  • 2、Estimation of CS of the HPC with hybrid RBF neural network

    Author: Lu, Tao; Wang, Yubian; Ma, Chaohui; She, Mingxing; Liu, Min; Dong, Fenghui

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. 29, Issue 2, pp. 188-201. DOI: 10.1177/13272314241295966

  • 3、An integrated probabilistic linguistic multiple attribute group decision making method for tourism mobile e-commerce service quality evaluatio

    Author: Li, Hong

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. 29, Issue 2, pp. 156-170. DOI: 10.1177/13272314241295961

  • 4、Enhanced EDAS framework for quality evaluation of cultural industry development under the background of digital economy based on SVNNCSM and SVNNCFSM technique

    Author: Zhao, Xia

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. 29, Issue 2, pp. 278-293. DOI: 10.1177/13272314241295918

  • 5、Measuring health education quality evaluation using single-valued neutrosophic multi-attribute decision-makin

    Author: Du, Shuo; Zhao, Lijuan

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. 29, Issue 2, pp. 141-155. DOI: 10.1177/13272314241291662

  • 6、An Assistant Decision-making Method of User Side Resource Interactive Transaction Based on Scipy Solver and Genetic Algorith

    Author: Yang, Shuai; Ren, Yulu; Cao, Qiong; Chen, Yangbo; Lu, Jiansheng

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. , Issue , pp. -. DOI: 10.1177/13272314251339729

  • 7、Prediction of pile settlement using a hybrid Adaptive-Network-Based Fuzzy Inference Syste

    Author: Zheng, Rizhong; Chen, Zhiyuan

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. , Issue , pp. -. DOI: 10.1177/13272314251333265

  • 8、MAGDM technique based on linguistic neutrosophic credibility value trigonometric aggregation operators and its application in landslide control scheme selectio

    Author: Ye, Jun; Yong, Rui

    Journal: INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS. 2025; Vol. , Issue , pp. -. DOI: 10.1177/13272314241302090

投稿常见问题