Patterns

SCIE

国际简称：Patterns 参考译名：模式

主要研究方向：Decision Sciences-Decision Sciences (all) 非预警期刊审稿周期：19 Weeks

《模式》(Patterns)是一本由CELL PRESS出版的以Decision Sciences-Decision Sciences (all)为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

2区中科院分区
Q1 JCR分区
90 年发文量
10.8 IF影响因子
未开放 是否OA
2020 创刊年份
Monthly 出版周期
English 出版语言

Patterns is a high-quality open access journal published by Cell Press, which publishes groundbreaking original research in various fields of data science. We are committed to sharing data science solutions for cross disciplinary problems. Patterns cover a wide global audience, including computer scientists, researchers in data intensive fields, data administrators, and policy makers. We adhere to the principle of fairness, ensuring that the data, software, workflows, algorithms, and other research results we publish are searchable, accessible, interoperable, and reusable. Patterns are the home of data scientists and researchers in both academic and industrial data intensive fields. This journal shares data science solutions from various disciplines, including computational science, physical science, life sciences, social sciences, and humanities.

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Patterns期刊信息

ISSN：2666-3899
出版语言：English
是否OA：未开放
出版地区：UNITED STATES OF AMERICA
是否预警：否
出版商：CELL PRESS
出版周期：Monthly
创刊时间：2020
开源占比：0.9307
Gold OA文章占比：100.00%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：73.33%

Patterns CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

2.066

2.752

学科类别	分区	排名	百分位
大类：Multidisciplinary 小类：Multidisciplinary	Q1	10 / 223	95%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Patterns中科院评价数据

《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	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

Patterns JCR评价数据

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

Patterns历年数据统计

影响因子

中科院分区

Patterns中国学者发文选摘

1、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
2、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
3、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
4、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
5、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
6、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
7、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
8、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