Applied Intelligence

Applied Intelligence

应用智能

  • 2区 中科院分区
  • Q2 JCR分区

期刊简介

《Applied Intelligence》是由Springer US出版社于1991年创办的英文国际期刊(ISSN: 0924-669X,E-ISSN: 1573-7497),该期刊长期致力于计算机:人工智能领域的创新研究,主要研究方向为工程技术-计算机:人工智能。作为SCIE收录期刊(JCR分区 Q2,中科院 2区),本刊采用OA未开放获取模式(OA占比0.0247...%),以发表计算机:人工智能领域等方向的原创性研究为核心(研究类文章占比99.15%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在820篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动计算机科学领域高水平交流平台。

投稿咨询

投稿提示

Applied Intelligence审稿周期约为 偏慢,4-8周 。该刊近年未被列入国际预警名单,年发文量约820篇,录用竞争适中,主题需确保紧密契合计算机科学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 计算机科学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 820 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学
2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能
3区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学
2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能
2区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 78 / 197

60.7%

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 SCIE Q2 87 / 198

56.31%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:6.6 SJR:1.193 SNIP:1.528
学科类别 分区 排名 百分位
大类:Computer Science 小类:Artificial Intelligence Q2 117 / 350

66%

期刊发文

  • Robust deep kernel-based fuzzy clustering with spatial information for image segmentation

    Author: Lei, Lujia; Wu, Chengmao; Tian, Xiaoping

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 23-48. DOI: 10.1007/s10489-022-03255-3

  • Statistical image watermark decoder by modeling local RDWT difference domain singular values with bivariate weighted Weibull distribution

    Author: Wang, Xiangyang; Yao, Yao; Yu, Yang; Niu, Panpan; Yang, Hongying

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 96-120. DOI: 10.1007/s10489-022-03536-x

  • Inner-imaging 3D attention module for residual network

    Author: Liu, Wenjie; Wu, Guoqing; Ren, Fuji; Shi, Quan

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 141-152. DOI: 10.1007/s10489-022-03225-9

  • Discriminative-region attention and orthogonal-view generation model for vehicle re-identification

    Author: Li, Huadong; Wang, Yuefeng; Wei, Ying; Wang, Lin; Li, Ge

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 186-203. DOI: 10.1007/s10489-022-03420-8

  • H-BLS: a hierarchical broad learning system with deep and sparse feature learning

    Author: Guo, Wei; Chen, Shuangshuang; Yuan, Xiaofeng

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 153-168. DOI: 10.1007/s10489-022-03498-0

  • A new comprehensive automatic fault detection method for rotating machinery using HmvAAPE and VNWOA-KELM

    Author: Gong, Jiancheng; Yang, Xiaoqiang; Han, Jun; Shen, Jinxing; Zhou, Fuming; Liu, Wuqiang

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 204-225. DOI: 10.1007/s10489-022-03505-4

  • FMFO: Floating flame moth-flame optimization algorithm for training multi-layer perceptron classifier

    Author: Yang, Zhenlun

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 251-271. DOI: 10.1007/s10489-022-03484-6

  • MTSDet: multi-scale traffic sign detection with attention and path aggregation

    Author: Wei, Hongyang; Zhang, Qianqian; Qian, Yurong; Xu, Zheng; Han, Jingjing

    Journal: APPLIED INTELLIGENCE. 2023; Vol. 53, Issue 1, pp. 238-250. DOI: 10.1007/s10489-022-03459-7