Knowledge-based Systems

Knowledge-based Systems is an international, interdisciplinary, application-oriented journal published by Elsevier since 1987, focused on systems that use knowledge-based and artificial intelligence techniques to support human decision making, learning and action, with a 2025 Journal Impact Factor of 8.0 and a first-quartile rank of 34 among 210 artificial intelligence journals《基于知识的系统》（Knowledge-based Systems）是（Elsevier）自 1987 年起出版的国际性跨学科应用期刊，聚焦运用知识库与人工智能技术支持人类决策、学习与行动的系统，2025 年影响因子为 8.0，在 210 种人工智能类期刊中列第 34 位，居第一四分位。

Scope

• The journal emphasizes the practical significance of knowledge-based systems, their computer development and use, and the balance between theoretical and applied research该刊强调知识库系统的实际意义、其计算机实现与使用，以及理论研究与应用研究的平衡。
• It covers big data technologies and methods, data-driven information systems and knowledge acquisition覆盖大数据技术和方法、数据驱动的信息系统与知识获取。
• Cognitive interaction and intelligent human-computer interfaces are central, together with recommender systems and personalization of electronic services认知交互与智能人机界面是核心方向，与推荐系统及电子服务个性化并列。
• Intelligent decision support, prediction and early-warning systems are included, as are computational and artificial-intelligence-based systems handling uncertain information智能决策支持、预测与预警系统亦在范围内，处理不确定信息的计算与人工智能系统同样纳入。
• Swarm intelligence and evolutionary computation form a further theme, alongside knowledge engineering, machine-learning-based systems and the semantic web群体智能与进化计算是另一主题，与知识工程、基于机器学习的系统及语义网并列。
• The journal welcomes papers describing new applications of knowledge-based systems in any human activity, from financial technology and engineering to health sciences该刊欢迎描述知识库系统在各类人类活动中新应用的论文，从金融科技、工程到健康科学。
• It publishes original, innovative and creative research results and reports both theory and practice in a balanced way该刊发表原创性、创新性与创造性研究成果，并均衡报道理论与实践两方面工作。

History

• Knowledge-based Systems was established in 1987 by Elsevier and has appeared continuously since then, making it one of the longer-running artificial intelligence titles该刊于 1987 年由（Elsevier）创办并连续出版至今，是人工智能领域历史较长的期刊之一。
• Hamido Fujita of Iwate Prefectural University in Japan led the journal from 2010 to 2019 and is now listed as editor emeritus日本岩手县立大学的 Hamido Fujita 于 2010 至 2019 年任主编，现列名为荣休编辑。
• Jie Lu of the University of Technology Sydney in Australia is the current Editor-in-Chief and has overseen the journal's rapid expansion in article volume澳大利亚悉尼科技大学的 Jie Lu 为现任主编，任内刊物发文量快速扩张。
• Publication grew from a bimonthly schedule to 24 issues a year, and annual output reached roughly 1,900 articles as the journal expanded after 2020刊期由双月刊扩至每年 24 期，2020 年后持续扩刊，年发文量约达 1,900 篇。
• Its Journal Impact Factor stood at 8.038 in 2021 and 8.139 in 2022, eased to 7.6 in 2024 and returned to 8.0 in 2025其影响因子 2021 年为 8.038、2022 年为 8.139，2024 年回落至 7.6，2025 年回升至 8.0。

Editors

• The Editor-in-Chief is Jie Lu of the Faculty of Engineering and Information Technology at the University of Technology Sydney, whose work concerns decision support and computational intelligence现任主编为悉尼科技大学工程与信息技术学院的 Jie Lu，研究方向涉及决策支持与计算智能。
• Hamido Fujita of Iwate Prefectural University remains associated with the journal as editor emeritus after a decade in the lead role岩手县立大学的 Hamido Fujita 在担任主编十年后，以荣休编辑身份继续与刊物保持联系。
• The editorial board is international and spans machine learning, knowledge representation, fuzzy systems and recommender systems编委会具国际性，覆盖机器学习、知识表示、模糊系统与推荐系统等方向。
• Manuscripts are handled through the Elsevier Editorial Manager system under the journal identifier KNOSYS, with an open access option for accepted papers稿件经（Elsevier Editorial Manager）系统以 KNOSYS 标识处理，录用论文可选择开放获取。
• The journal operates a hybrid model, remaining subscription-based while allowing authors to pay for immediate open access to individual articles该刊采用混合模式，以订阅为基础，同时允许作者付费使单篇文章立即开放获取。