ISSN 3105-6768(Print)
ISSN 3105-6776(Online)
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ISSN 3105-6768(Print)
ISSN 3105-6776(Online)

CODEN:ZZYABT
国际标准连续出版物标识符·全球唯一标识符
分配机构:美国化学文摘社(CAS)
DOI前缀:
https://doi.org/10.66106/zzyabt
国图集团 CIBTC
进口备案刊号:G015Z126

索引 检索 存档(Global Indexing)
本刊入选以下全球权威数据库,致力于研究成果的全球化无障碍传播。
DOI
Sci Online
ICI 哥白尼索引(波兰)
EuroPub 欧洲学术出版中心数据库(英国)
Academia 学术界(美国)
长江文库(中国)
OALib 开放存取资源图书馆(美国)
ESJI 欧亚科学期刊索引(哈萨克斯坦)
ResearchBib 研究者索引(日本)
KIND CONGRESS(阿塞拜疆)
ASCI 亚洲科学引文索引(美国)
百度学术 Baidu Scholar(中国)
百度百科 Baidu Baike(中国)
谷歌学术 Google(美国)
RCCSE 中国学术期刊收录(武汉大学)
SPI-Hub 范德比尔特大学医学中心(美国)
LivRe 巴西国家核能委员会CIN(巴西)
SJIF 科学期刊索引(印度)
Scite(美国)
EBSCO(美国)
MDPI scilit(瑞士)
scribd 数字图书馆(美国)
Crossref 交叉引用(美国)
ProQuest 科睿唯安(美国)
ResearchGate 研究之门(德国)
DOAJ 开放获取期刊目录(瑞典)
J-Gate 开放获取期刊门户(印度)
WorldCat 联机计算机图书馆(美国)

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期刊简介 · About Journal

中文刊名:《智慧中医学》
英文刊名: Intelligent Chinese Medicine
国际刊号:
ISSN 3105-6768(印刷版)
ISSN 3105-6776(网络版)
CODEN码: ZZYABT
标识符分配机构:美国化学文摘社(Chemical Abstracts Service,CAS)
发行支持:国图集团(China International Book Trading Corporation,CIBTC)
进口备案刊号: G015Z126
出版模式:金色开放获取(Gold OA)遵循CC BY 4.0协议,全文永久免费开放
出版机构:Macau Sino-Foreign Medical Publishing Limited
出版频率: 双月刊
出版语言: 中文、英文
投稿要求:接受中文投稿(须同时提交英文标题、摘要、关键词、作者单位及姓名)
本刊已获全球多家权威学术数据库收录,致力于推动高质量研究的全球传播,与全球学者携手,共建开放、协作、前瞻的国际学术共同体。
期刊定位
《智慧中医学》是一本专注于中医药理论与现代智能技术深度融合的前沿学术期刊。本刊致力于推动中医药研究的数字化与智能化发展,重点关注人工智能、大数据、物联网等前沿技术在中医诊断、中药研发及临床实践中的创新应用。我们特别倡导多学科交叉的研究方法,融汇中医药传统智慧与现代科技,构建具有中医药特色的人工智能研究体系。
征稿范围
本刊诚邀以下研究方向的投稿:
• 中医智能诊断与舌面脉信息处理
• 中医药知识图谱与本体构建
• 中药组方规律的数据挖掘研究
• 针灸机理的数字化模拟与可视化
• 中医证候的生物信息学基础研究
• 智能技术在中药质量控制中的应用
• 中医临床决策支持系统开发
• 中医药大数据平台构建与管理
• 智能设备在中医诊疗中的应用
• 中医药文献的智能化整理与知识挖掘
目标与愿景
本刊旨在打造中医药智能化研究领域的国际权威学术平台,促进中医药的传承创新与现代科技的深度融合。我们致力于构建一个开放、协作的学术生态,为中医药研究者、信息技术专家和临床医师搭建高水平的交流平台,以推动中医药现代化研究的持续创新与发展。
数据库收录(申请中)
本刊正在申请纳入以下重要学术数据库及索引:
• Science Citation Index Expanded (SCIE)
• MEDLINE/PubMed
• Scopus
• Embase
• DOAJ (Directory of Open Access Journals)
• Google Scholar
• 百度学术
• 万方数据
• 维普资讯
• 澳门虚拟图书馆
• 龙源期刊网
• 超星学术平台
• 长江文库
• 新华网·学术中国
• CNKI中国知网


Chinese Journal Title: Zhi Hui Zhong Yi Xue (Intelligent Chinese Medicine)
English Journal Title: Intelligent Chinese Medicine
International Standard Serial Number (ISSN):
ISSN 3105-6768 (Print)
ISSN 3105-6776 (Online)
CODEN: ZZYABT
Identifier Assigning Agencies:
Chemical Abstracts Service (CAS)
China International Book Trading Corporation (CIBTC)
Import Registration Number: G015Z126
Publication Model:
Gold Open Access (Gold OA)
Full texts are permanently freely accessible under the CC BY 4.0 license.
Publisher:
Macau Sino-Foreign Medical Publishing Limited
Publication Frequency: Bimonthly
Publication Languages: Chinese, English
Submission Requirements:
Submissions in Chinese are accepted (must be accompanied by an English title, abstract, keywords, author affiliations, and author names).
Journal Positioning
Intelligent Chinese Medicine is a cutting-edge academic journal dedicated to the deep integration of traditional Chinese medicine (TCM) theory with modern intelligent technologies. The journal is committed to advancing the digitization and intelligent development of TCM research, with a primary focus on exploring innovative applications of frontier technologies such as artificial intelligence, big data, and the Internet of Things in TCM diagnosis, herbal medicine research, and clinical practice. We particularly advocate for interdisciplinary research methodologies that integrate traditional TCM wisdom with modern technology, aiming to build an intelligent research system with distinctive TCM characteristics.
Scope of Contributions
The journal invites submissions in the following research areas:
• Intelligent TCM diagnosis and tongue-face-pulse information processing
• TCM knowledge graph and ontology construction
• Data mining research on herbal formula regularities
• Digital simulation and visualization of acupuncture mechanisms
• Bioinformatics basis research on TCM syndromes
• Application of intelligent technologies in quality control of Chinese herbal medicine
• Development of clinical decision support systems for TCM
• Construction and management of TCM big data platforms
• Application of intelligent devices in TCM diagnosis and treatment
• Intelligent organization and knowledge mining of TCM literature
Aims and Vision
The journal aims to establish an internationally authoritative academic platform in the field of intelligent TCM research, promoting the deep integration of TCM heritage and innovation with modern technology. We are committed to fostering an open and collaborative academic ecosystem, providing a high-level communication platform for TCM researchers, information technology experts, and clinical practitioners, to drive continuous innovation and development in modern TCM research.
Database Indexing (Under Application)
The journal is currently applying for inclusion in the following major academic databases and indexing systems:
• Science Citation Index Expanded (SCIE)
• MEDLINE/PubMed
• Scopus
• Embase
• DOAJ (Directory of Open Access Journals)
• Google Scholar
• Baidu Scholar
• Wanfang Data
• VIP Information
• Macau Virtual Library
• Longyuan Journals
• Chaoxing Academic Platform
• Changjiang Library
• Xinhuanet - Academic China
• CNKI (China National Knowledge Infrastructure)


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