Advances in Artificial Intelligence Research

Advances in Artificial Intelligence Research 由 Osman Özkaraca 出版。按 OpenAlex 近年发文统计，该刊主要发表 Artificial Intelligence in Healthcare、Imbalanced Data Classification Techniques、Topic Modeling 等主题的论文，这 3 个主题约占 21.5%，主导子领域为 Artificial Intelligence。（根据 OpenAlex 主题统计与中科院分区数据生成）

The journal of Advances in Artificial Intelligence Research (AAIR) is an international and interdisciplinary scholarly open access journal. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible about Artificial Intelligence(AI). Full experimental details and/or study methods must be provided for research articles so that the results can be reproduced. Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the AI techniques being exploited. AAIR is committed to maintaining the highest standards of quality and integrity in published research. With an esteemed editorial board comprising leading experts in AI, all submissions undergo rigorous double-blind peer review to ensure scholarly excellence. AAIR welcomes papers on broad aspects of Artificial Intelligence (AI) that constitute advances in the overall field including, but not limited to, cognition and AI. AAIR covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews. The journal will also consider summary papers that describe challenges and competitions from various areas of AI. Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition (series) itself.• AI Theory• AI Technique• AI Application• Intelligent machine/agent• Knowledge representation• Knowledge reasoning• Machine learning• Computer vision• Planning• Robotics• Natural language processing• Artificial neural networks• Evolutionary computing• Probabilistics computing• Genetic algorithms• Fuzzy logic• Expert systemsOther Keywords: Deep learning; reinforcement learning; machine perception; machine recognition; computer algorithms; automated reasoning and inference; case-based reasoning; reasoning under uncertainty; knowledge engineering; multi-agent planning; multi-agent systems; automated planning and scheduling; information retrieval; text mining; question answering;

摘自期刊官网 Aims & Scope

中科院期刊分区表

数据库收录

DOAJLetPub

国际期刊预警名单：各版本均未列入LetPub

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

h-index

6OpenAlex · 2026-10-01

i10-index

5OpenAlex · 2026-10-01

两年平均被引

1.43OpenAlex · 2026-10-01

Gold OA 文章占比

0%LetPub · 2026-09-13

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

各来源数据

平均审稿速度（社区反馈）

12 WeeksLetPub · 2026-09-13

投稿到首次决定

3 天出版商官网 · 2026-09-29

投稿到最终决定

47 天出版商官网 · 2026-09-29

接收到发表

4 天出版商官网 · 2026-09-29

投稿到发表

11 天出版商官网 · 2026-09-29

投稿到发表（期刊自报）

约 12 周DOAJ · 2026-10-25

评审方式

编辑评审、双盲同行评审DOAJ

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

• APC 费用说明 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ

费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。

摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。

出版商

Osman Özkaraca

出版国家或地区

Türkiye

出版语言

English

ISSN

2757-7422

官方链接

• 期刊主页 ↗LetPub
• 作者指南 ↗LetPub
• Aims & Scope ↗LetPub
• APC 费用说明 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ
• 评审流程 ↗LetPub
• 编委会 ↗LetPub
• 查重政策 ↗DOAJ