会议信息

ICEBE 2026: International Conference on e-Business Engineering

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截稿日期:
2026-08-15 已截稿
通知日期:
2026-09-15
会议日期:
2026-11-11
会议地点:
Wuhan, China
届数:
QUALIS: B2   浏览: 46944   关注: 12   参加: 4
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ICEBE
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会伴指数 (CP-I)

62.4 / 100
全站第 532 名 / 共 5,738 个会议 · 前 10%

信息系统与 Web 第 22 / 254

学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
84
社区关注 (10%)
35
资料公开度 (15%)
55

用到的输入: 收录等级：QUALIS B2 · 有据可查的届次：22 · 在会伴关注它的研究者：12 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-20

征稿

ICEBE 2026 (International Conference on e-Business Engineering) is a QUALIS B2 conference held in Wuhan, China on 2026-11-11. The paper submission deadline is 2026-08-15. Acceptance notifications are sent on 2026-09-15.

The IEEE International Conference on E-Business Engineering (ICEBE 2026) invites researchers, practitioners, and academics to submit original papers that explore both the theoretical and practical aspects of integrating Artificial Intelligence into e-business engineering. Since its inception in 2003, ICEBE has been a premier forum for the dissemination of advanced research and innovative discoveries in e-business. Jointly supported by IEEE Technical Committee on Business Informatics and Systems (TCBIS), this esteemed conference serves as a platform where academics, engineers, and industry professionals converge to address the ever-evolving challenges and opportunities in e-business. Topics of Interest AI, Machine Learning, and Big Data Management in E-Business (including Data Management/Mining, Recommendation, Search, Advertisement, etc.) Blockchain Technologies and Applications Cloud Computing and Services Cybersecurity in E-Business Digital Transformation Strategies E-Commerce Platforms and Architecture FinTech and Digital Banking Internet of Things (IoT) in Business Mobile Commerce and Applications Smart Contracts and Digital Transactions Business Advanced Analytics AI-powered business automation Ethical AI and regulatory challenges Interdisciplinary AI innovations in business
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