Patterns

Patterns

模式

  • 2区 中科院分区
  • Q1 JCR分区

期刊简介

《Patterns》是由CELL PRESS出版社于2020年创办的英文国际期刊(ISSN: 2666-3899),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Decision Sciences-Decision Sciences (all)。作为SCIE收录期刊(JCR分区 Q1,中科院 2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73.33%%)。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90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

Patterns审稿周期约为19 Weeks。该刊近年未被列入国际预警名单,年发文量约90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
  • 90 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
计算机科学
2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
2区 2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
计算机科学
2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
2区 2区 2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 20 / 210

90.7

学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI Q1 8 / 266

97.2

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q1 15 / 185

92.2

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q1 30 / 210

85.95

学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI Q1 35 / 266

87.03

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q1 32 / 185

82.97

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 Q1 31 / 197

84.5

学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI Q1 26 / 249

89.8

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q1 20 / 169

88.5

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q1 43 / 198

78.54

学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI Q1 56 / 251

77.89

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q1 40 / 169

76.63

CiteScore(2026年6月最新版)

CiteScore SJR SNIP CiteScore 排名
CiteScore:18 SJR:2.066 SNIP:2.752
学科类别 分区 排名 百分位
大类:Multidisciplinary 小类:Multidisciplinary Q1 10 / 223

95%

期刊发文

  • DestinyNet: A deep-learning framework for cell-fate analysis from lineage-tracing single-cell RNA sequencing dat

    Author: Liu, Zuozhu; Jiang, Songtao; Hu, Tianxiang; Xue, Ziwei; Chen, Yuhui; Ruan, Dengfeng; Xia, Haoxiang; Feng, Yang; Hao, Jin; Li, Wei; Zhou, Joey Tianyi; Fang, Bing; Wu, Jian; Liu, Wanlu

    Journal: PATTERNS. 2026; Vol. 7, Issue 4, pp. -. DOI: 10.1016/j.patter.2025.101471

  • Hierarchical fusion of electrocardiogram and phonocardiogram data improves heart failure detectio

    Author: Ma, Fei; Zhang, Haobo; Fang, Siyi; Wang, Qimei; Lin, Fan; Chao, Lianying; Wang, Zhiwei; Li, Qiang; Zhang, Peng

    Journal: PATTERNS. 2026; Vol. 7, Issue 3, pp. -. DOI: 10.1016/j.patter.2025.101448

  • A self-supervised framework for emphysema anomaly detection and staging in computed tomography scan

    Author: Zhang, Xiang; Zhao, Mingyue; Yao, Fei; Ma, Wenxin; Zhang, Jin; Li, Yueze; Zhou, Xiuxiu; Guan, Yu; Xiao, Yi; Fan, Li; Zhou, Shaohua Kevin; Liu, Shiyuan

    Journal: PATTERNS. 2026; Vol. 7, Issue 2, pp. -. DOI: 10.1016/j.patter.2025.101426

  • A label masked autoencoder for image-guided segmentation label completio

    Author: Jia, Jiaru; Liu, Mingzhe; Li, Dongfen; Chen, Xin; Wang, Ruili; Zhuo, Linlin; Li, Keqin

    Journal: PATTERNS. 2026; Vol. 7, Issue 2, pp. -. DOI: 10.1016/j.patter.2025.101455

  • Recalibrating academic expertise in the age of generative A

    Author: Lin, Zhicheng; Sohail, Aamir

    Journal: PATTERNS. 2026; Vol. 7, Issue 1, pp. -. DOI: 10.1016/j.patter.2025.101473

  • Discovering the nuclear localization signal universe through a deep learning model with interpretable attention unit

    Author: Li, Yi-Fan; Pan, Xiaoyong; Shen, Hong-Bin

    Journal: PATTERNS. 2025; Vol. 6, Issue 6, pp. -. DOI: 10.1016/j.patter.2025.101262

  • FoodSky: A food-oriented large language model that can pass the chef and dietetic examination

    Author: Zhou, Pengfei; Min, Weiqing; Fu, Chaoran; Jin, Ying; Huang, Mingyu; Li, Xiangyang; Mei, Shuhuan; Jiang, Shuqiang

    Journal: PATTERNS. 2025; Vol. 6, Issue 5, pp. -. DOI: 10.1016/j.patter.2025.101234

  • Insights into transportation CO2 emissions with big data and artificial intelligenc

    Author: Luo, Zhenyu; He, Tingkun; Lv, Zhaofeng; Zhao, Junchao; Zhang, Zhining; Wang, Yongyue; Yi, Wen; Lu, Shangshang; He, Kebin; Liu, Huan

    Journal: PATTERNS. 2025; Vol. 6, Issue 4, pp. -. DOI: 10.1016/j.patter.2025.101186