2022年12月最新中科院JCR期刊分区表数据(升级版)已经更新,欢迎查询! 如果您对期刊系统有任何需求或者问题,欢迎
反馈给我们。 ![]() |
基本信息 | 登录收藏 | |||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
期刊名字![]() | KNOWLEDGE-BASED SYSTEMS KNOWL-BASED SYST LetPub评分 8.2
213人评分
我要评分
声誉 8.3 影响力 7.9 速度 7.7 | |||||||||||||||||||||||||||||
期刊ISSN | 0950-7051 | 微信扫码收藏此期刊 | ||||||||||||||||||||||||||||
2021-2022最新影响因子 (数据来源于搜索引擎) | 注册或登录后,查看影响因子和历年趋势图 | |||||||||||||||||||||||||||||
2021-2022自引率 | 11.60%注册或登录后,查看自引率趋势图 | |||||||||||||||||||||||||||||
h-index | 94 | |||||||||||||||||||||||||||||
CiteScore |
| |||||||||||||||||||||||||||||
期刊简介 | Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures. This journal's current leading topics are but not limited to: • Big data techniques and methodologies, data-driven information systems, and knowledge acquisition • Cognitive interaction and intelligent human interfaces • Recommender systems and E-service personalization • Intelligent decision support systems, prediction systems and warning systems • Computational and artificial intelligence based systems and uncertain information processes • Swarm intelligence and evolutionary computing • Knowledge engineering, machine learning-based systems and web semantics The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems. | |||||||||||||||||||||||||||||
期刊官方网站 | http://www.journals.elsevier.com/knowledge-based-systems/#description | |||||||||||||||||||||||||||||
期刊投稿网址 | https://www.editorialmanager.com/KNOSYS | |||||||||||||||||||||||||||||
是否OA开放访问 | No | |||||||||||||||||||||||||||||
通讯方式 | ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE | |||||||||||||||||||||||||||||
出版商 | Elsevier | |||||||||||||||||||||||||||||
涉及的研究方向 | 工程技术-计算机:人工智能 | |||||||||||||||||||||||||||||
出版国家或地区 | NETHERLANDS | |||||||||||||||||||||||||||||
出版语言 | English | |||||||||||||||||||||||||||||
出版周期 | Bimonthly | |||||||||||||||||||||||||||||
出版年份 | 0 | |||||||||||||||||||||||||||||
年文章数 | 948注册或登录后,查看年文章数趋势图 | |||||||||||||||||||||||||||||
Gold OA文章占比 | 2.68% | |||||||||||||||||||||||||||||
研究类文章占比: 文章 ÷(文章 + 综述) | 98.95% | |||||||||||||||||||||||||||||
WOS期刊SCI分区 ( 2021-2022年最新版) | WOS分区等级:1区
| |||||||||||||||||||||||||||||
中科院《国际期刊预警 名单(试行)》名单 | 2021年12月发布的2021版:不在预警名单中 2021年01月发布的2020版:不在预警名单中 | |||||||||||||||||||||||||||||
中科院SCI期刊分区 ( 2022年12月最新升级版) | 注册或登录后,查看中科院SCI期刊分区趋势图
| |||||||||||||||||||||||||||||
中科院SCI期刊分区 ( 2021年12月基础版) |
| |||||||||||||||||||||||||||||
中科院SCI期刊分区 ( 2021年12月升级版) |
| |||||||||||||||||||||||||||||
中科院SCI期刊分区 ( 2020年12月旧的升级版) |
| |||||||||||||||||||||||||||||
SCI期刊收录coverage | Science Citation Index Expanded (SCIE) (2020年1月,原SCI撤销合并入SCIE,统称SCIE) Scopus (CiteScore) | |||||||||||||||||||||||||||||
PubMed Central (PMC)链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0950-7051%5BISSN%5D | |||||||||||||||||||||||||||||
平均审稿速度 | 网友分享经验: 平均7.8个月 | |||||||||||||||||||||||||||||
平均录用比例 | 网友分享经验: 85% | |||||||||||||||||||||||||||||
在线出版周期 | 来源Elsevier官网: 平均6.8周 | |||||||||||||||||||||||||||||
期刊常用信息链接 |
|
|
|
|
注册或登录后,查看自引率趋势图 |
注册或登录后,查看中科院SCI期刊分区趋势图 |
注册或登录后,查看年文章数趋势图 |
中国学者近期发表的论文 | |
1. | Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images Author: Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.031 DOI |
2. | Sentiment-aware volatility forecasting Author: Frank Z. Xing, Erik Cambria, Yue Zhang Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.029 DOI |
3. | PatternFinder: Pattern discovery for truth discovery Author: Chen Ye, Hongzhi Wang, Tingting Ma, Jing Gao, Hengtong Zhang, Jianzhong Li Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.027 DOI |
4. | Expected consistency-based emergency decision making with incomplete probabilistic linguistic preference relations Author: Jie Gao, Zhilei Liang, Huchang Liao, Zeshui Xu Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.020 DOI |
5. | Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs Author: Qiu Xiao, Jianhua Dai, Jiawei Luo, Hamido Fujita Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.023 DOI |
6. | Mining high-utility itemsets in dynamic profit databases Author: Loan T.T. Nguyen, Phuc Nguyen, Trinh D.D. Nguyen, Bay Vo, Philippe Fournier-Viger, Vincent S. Tseng Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.022 DOI |
7. | Establishment of rule dictionary for efficient XACML policy management Author: Fan Deng, Liyong Zhang, Changyu Zhang, Hao Ban, Chang Wan, Minghao Shi, Chao Chen, Enti Zhang Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.015 DOI |
8. | Automated identification and grading system of diabetic retinopathy using deep neural networks Author: Wei Zhang, Jie Zhong, Shijun Yang, Zhentao Gao, Junjie Hu, Yuanyuan Chen, Zhang Yi Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.016 DOI |
9. | A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning Author: Yinlong Yuan, Zhu Liang Yu, Zhenghui Gu, Yao Yeboah, Wu Wei, Xiaoyan Deng, Jingcong Li, Yuanqing Li Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.018 DOI |
10. | A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering Author: Jiangzhou Deng, Junpeng Guo, Yong Wang Journal: KNOWLEDGE-BASED SYSTEMS, 2019, Vol., , DOI:10.1016/j.knosys.2019.03.009 DOI |
|
|
以上SCI期刊相关数据和信息来源于网络,仅供参考。
投稿状态统计: 我要评分: | |
同领域作者分享投稿经验:共482条 (包含回复) |
我来分享 |
|
联系我们 | 站点地图 | 友情链接 | 授权代理商 | 加入我们
© 2010-2023 中国: LetPub上海分公司 网站备案号:沪ICP备10217908号-1 沪公网安备号:31010402006960
增值电信业务经营许可证:沪B2-20211595
礼翰商务信息咨询(上海)有限公司 办公地址:上海市徐汇区漕溪北路88号圣爱大厦2103室
United States: Tel: 1-781-202-9968 Address: 400 5th Ave, Suite 530, Waltham, Massachusetts 02451