400-808-1721 首页 购物车0
Machine Learning And Knowledge Extraction

Machine Learning And Knowledge Extraction

机器学习与知识提取

  • 3区 中科院分区
  • Q1 JCR分区
期刊首页 期刊评价 了解投稿 期刊咨询

期刊简介

《Machine Learning And Knowledge Extraction》是由MDPI AG出版社创办的英文国际期刊（ISSN: 2504-4990），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Multiple。作为SCIE收录期刊（JCR分区 Q1，中科院 3区），本刊采用OA未开放获取模式（OA占比%），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92.57%%）。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175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

Machine Learning And Knowledge Extraction审稿周期约为7 Weeks。该刊近年未被列入国际预警名单，年发文量约175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
  • 否 是否预警
  • SCIE 期刊收录
  • 175 发文量

中科院分区

《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, INTERDISCIPLINARY APPLICATIONS 计算机：跨学科应用 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气
3区 3区 3区

期刊分区表（2025年3月升级版）

Top期刊 综述期刊 大类学科 小类学科
否 否
计算机科学
4区
ENGINEERING, ELECTRICAL & ELECTRONIC 工程：电子与电气 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机：跨学科应用
3区 4区 4区

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 32 / 210

85
学科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q1 23 / 185

87.8
学科：ENGINEERING, ELECTRICAL & ELECTRONIC ESCI Q1 36 / 369

90.4
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q2 62 / 210

70.71
学科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q2 65 / 185

65.14
学科：ENGINEERING, ELECTRICAL & ELECTRONIC ESCI Q2 116 / 371

68.87

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 64 / 197

67.8
学科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q2 45 / 169

73.7
学科：ENGINEERING, ELECTRICAL & ELECTRONIC ESCI Q2 100 / 352

71.7
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q2 81 / 198

59.34
学科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q2 72 / 169

57.69
学科：ENGINEERING, ELECTRICAL & ELECTRONIC ESCI Q2 140 / 354

60.59

CiteScore（2026年6月最新版）

CiteScore SJR SNIP CiteScore 排名
CiteScore：12.7 SJR：1.548 SNIP：3.033
学科类别 分区 排名 百分位
大类：Engineering 小类：Engineering (miscellaneous) Q1 22 / 300

92%
大类：Engineering 小类：Artificial Intelligence Q1 59 / 570

89%

期刊发文

  • Debiased Multiplex Tokenization Using Mamba-Based Pointers for Efficient and Versatile Map-Free Visual Relocalizatio

    Author: Wang, Wenshuai; Liu, Hong; Li, Shengquan; Jiang, Peifeng; Che, Dandan; Ding, Runwei

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2026; Vol. 8, Issue 3, pp. -. DOI: 10.3390/make8030083

  • Differential Equation Ensemble Discovery for Modeling Active Matter Based on Robotic Swarm Dat

    Author: Bashkova, Xeniya; Molodtsova, Anastasia; Olekhno, Nikita; Hvatov, Alexander

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2026; Vol. 8, Issue 3, pp. -. DOI: 10.3390/make8030072

  • SkySeg-Net: Sky Segmentation-Based Row-Terminal Recognition in Trellised Orchard

    Author: Gu, Haiyang; Wang, Yong; Liu, Huaiyang; Tian, Tong; Geng, Changxing; Shi, Yun

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2026; Vol. 8, Issue 2, pp. -. DOI: 10.3390/make8020046

  • Visual Perception and Robust Autonomous Following for Orchard Transportation Robots Based on DeepDIMP-ReI

    Author: Shen, Renyuan; Wang, Yong; Liu, Huaiyang; Gu, Haiyang; Geng, Changxing; Shi, Yun

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2026; Vol. 8, Issue 2, pp. -. DOI: 10.3390/make8020039

  • MBS: A Modality-Balanced Strategy for Multimodal Sample Selectio

    Author: Xu, Yuntao; Chen, Bing; Hu, Feng; Liu, Jiawei; Zhao, Changjie; Wu, Hongtao

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.3390/make8010017

  • Knowledge Bases and Representation Learning Towards Bug Triagin

    Author: Wang, Qi; Yan, Weihao; Li, Yanlong; Ge, Yizheng; Liu, Yiwei; Yin, Peng; Tan, Shuai

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2025; Vol. 7, Issue 2, pp. -. DOI: 10.3390/make7020057

  • Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Dat

    Author: Chen, Wenli; Lin, Zirou; Zheng, Lishan; Ho, Mei-Yee Mavis; Ali, Farhan; Teo, Wei Peng

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2025; Vol. 7, Issue 2, pp. -. DOI: 10.3390/make7020051

  • ADTime: Adaptive Multivariate Time Series Forecasting Using LLM

    Author: Pei, Jinglei; Zhang, Yang; Liu, Ting; Yang, Jingbin; Wu, Qinghua; Qin, Kang

    Journal: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. 2025; Vol. 7, Issue 2, pp. -. DOI: 10.3390/make7020035

相关期刊

怎样选择期刊
投稿相关问题
投稿后咨询