中文名称:
建筑物
期刊缩写:
Buildings (Basel)
影响因子:
3.1
ISSN:
print: 2075-5309
on-line: 0007-3725
研究领域:
Multiple
自引率:
26.30%
Gold OA文章占比:
99.85%
原创研究文献占比:
93.86%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
BUILDINGS content is primarily staff-written and submitted information is evaluated by the editors for its value to the audience. Such information may be used in articles with appropriate attribution to the source. The editorial staff considers information on the following topics: -Issues directed at building owners and facility managers in North America -Issues relevant to existing buildings, including retrofits, maintenance and modernization -Solution-based content, such as tips and tricks -New construction but only with an eye to issues involving maintenance and operation We generally do not review the following topics because these are not relevant to our readers: -Information on the residential market with the exception of multifamily buildings -International news unrelated to the North American market -Real estate market updates or construction updates
CiteScore:
CiteScoreSJRSNIPCiteScore排名
3.40.5751.020
学科
排名
百分位
大类:Engineering
小类:Architecture
29 / 189
84%
大类:Engineering
小类:Building and Construction
89 / 223
60%
大类:Engineering
小类:Civil and Structural Engineering
173 / 379
54%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
3区 工程技术
3区 结构与建筑技术 CONSTRUCTION & BUILDING TECHNOLOGY
3区 工程:土木 ENGINEERING, CIVIL
WOS期刊分区
学科分类
Q2CONSTRUCTION & BUILDING TECHNOLOGY
Q2ENGINEERING, CIVIL
历年影响因子
2021年3.3240
2022年3.8000
2023年3.1000
历年发表
2012年27
2013年41
2014年48
2015年75
2016年55
2017年119
2018年188
2019年244
2020年261
2021年685
2022年1883
投稿信息
出版语言:
English
出版国家(地区):
SWITZERLAND
审稿时长:
11 weeks
论文处理费:
Free
出版商:
MDPI
编辑部地址:
ST ALBAN-ANLAGE 66, BASEL, SWITZERLAND, CH-4052

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Pub Date : 2024-01-11 DOI: 10.3390/buildings14010186 Zhenfen Jin, Jun Li, Liangzhao Wang

Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile

Pub Date : 2024-01-11 DOI: 10.3390/buildings14010185 G. Mutani, Maryam Alehasin, Yang Huisi, Xiaotong Zhang, Gabriel Felmer

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms

Pub Date : 2024-01-11 DOI: 10.3390/buildings14010190 Yanhua Yang, Guiyong Liu, Haihong Zhang, Yan Zhang, Xiaolong Yang
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