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Automation In Construction

Automation In ConstructionSCIE

國(guó)際簡(jiǎn)稱:AUTOMAT CONSTR  參考譯名:建筑自動(dòng)化

  • 中科院分區(qū)

    1區(qū)

  • CiteScore分區(qū)

    Q1

  • JCR分區(qū)

    Q1

基本信息:
ISSN:0926-5805
E-ISSN:1872-7891
是否OA:未開放
是否預(yù)警:否
TOP期刊:是
出版信息:
出版地區(qū):NETHERLANDS
出版商:Elsevier
出版語(yǔ)言:English
出版周期:Bimonthly
出版年份:1992
研究方向:工程技術(shù)-工程:土木
評(píng)價(jià)信息:
影響因子:9.6
H-index:95
CiteScore指數(shù):19.2
SJR指數(shù):2.626
SNIP指數(shù):2.881
發(fā)文數(shù)據(jù):
Gold OA文章占比:18.25%
研究類文章占比:85.78%
年發(fā)文量:436
自引率:0.1650...
開源占比:0.1111
出版撤稿占比:0
出版國(guó)人文章占比:0.22
OA被引用占比:0.0437...
英文簡(jiǎn)介 期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問(wèn)題

英文簡(jiǎn)介Automation In Construction期刊介紹

Automation in Construction is an international journal for the publication of original research papers. The journal publishes refereed material on all aspects pertaining to the use of Information Technologies in Design, Engineering, Construction Technologies, and Maintenance and Management of Constructed Facilities. The scope of Automation in Construction is broad, encompassing all stages of the construction life cycle from initial planning and design, through construction of the facility, its operation and maintenance, to the eventual dismantling and recycling of buildings and engineering structures. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal's purview:

? Computer-aided design, product modeling, decision support systems, classification and standardization, product data interchange

? Computer-aided engineering, process simulation models, graphics

? Robotics, metrology, logistics, automated inspection, demolition/remediation

? Facilities management, management information systems, intelligent control systems.

期刊簡(jiǎn)介Automation In Construction期刊介紹

《Automation In Construction》自1992出版以來(lái),是一本工程技術(shù)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果,并為工程技術(shù)各個(gè)領(lǐng)域的原創(chuàng)研究提供一個(gè)展示平臺(tái),以促進(jìn)工程技術(shù)領(lǐng)域的的進(jìn)步。該刊鼓勵(lì)先進(jìn)的、清晰的闡述,從廣泛的視角提供當(dāng)前感興趣的研究主題的新見解,或?qū)彶槎嗄陙?lái)某個(gè)重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時(shí)報(bào)道工程技術(shù)領(lǐng)域的最新進(jìn)展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預(yù)警期刊名單,目前已被權(quán)威數(shù)據(jù)庫(kù)SCIE收錄,得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點(diǎn):

Cite Score數(shù)據(jù)(2024年最新版)Automation In Construction Cite Score數(shù)據(jù)

  • CiteScore:19.2
  • SJR:2.626
  • SNIP:2.881
學(xué)科類別 分區(qū) 排名 百分位
大類:Engineering 小類:Civil and Structural Engineering Q1 3 / 379

99%

大類:Engineering 小類:Building and Construction Q1 3 / 223

98%

大類:Engineering 小類:Control and Systems Engineering Q1 8 / 321

97%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫(kù)中收集的引文為基礎(chǔ),針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于,它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法,而不僅僅是通過(guò)影響因子(IF)這一單一指標(biāo)來(lái)評(píng)價(jià)。

歷年Cite Score趨勢(shì)圖

中科院SCI分區(qū)Automation In Construction 中科院分區(qū)

中科院 2023年12月升級(jí)版 綜述期刊:否 Top期刊:是
大類學(xué)科 分區(qū) 小類學(xué)科 分區(qū)
工程技術(shù) 1區(qū) CONSTRUCTION & BUILDING TECHNOLOGY 結(jié)構(gòu)與建筑技術(shù) ENGINEERING, CIVIL 工程:土木 1區(qū) 1區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ),運(yùn)用科學(xué)計(jì)量學(xué)方法對(duì)國(guó)際、國(guó)內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級(jí)劃分的期刊評(píng)價(jià)標(biāo)準(zhǔn)。它為我國(guó)科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評(píng)價(jià)國(guó)際學(xué)術(shù)期刊影響力的參考數(shù)據(jù),得到了全國(guó)各地高校、科研機(jī)構(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個(gè)層次,類似于“優(yōu)、良、及格”等。最開始,這個(gè)分區(qū)只是為了方便圖書管理及圖書情報(bào)領(lǐng)域的研究和期刊評(píng)估。之后中科院分區(qū)逐步發(fā)展成為了一種評(píng)價(jià)學(xué)術(shù)期刊質(zhì)量的重要工具。

歷年中科院分區(qū)趨勢(shì)圖

JCR分區(qū)Automation In Construction JCR分區(qū)

2023-2024 年最新版
按JIF指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:CONSTRUCTION & BUILDING TECHNOLOGY SCIE Q1 4 / 91

96.2%

學(xué)科:ENGINEERING, CIVIL SCIE Q1 1 / 181

99.7%

按JCI指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:CONSTRUCTION & BUILDING TECHNOLOGY SCIE Q1 3 / 91

97.25%

學(xué)科:ENGINEERING, CIVIL SCIE Q1 4 / 181

98.07%

JCR分區(qū)的優(yōu)勢(shì)在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異,此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問(wèn)題的。因此,JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū),這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢(shì)圖

發(fā)文數(shù)據(jù)

2023-2024 年國(guó)家/地區(qū)發(fā)文量統(tǒng)計(jì)
  • 國(guó)家/地區(qū)數(shù)量
  • CHINA MAINLAND299
  • USA216
  • Australia80
  • South Korea79
  • Canada74
  • England72
  • Singapore49
  • GERMANY (FED REP GER)45
  • Spain42
  • Italy28

本刊中國(guó)學(xué)者近年發(fā)表論文

  • 1、Visual measurement method for three-dimensional shape of underwater bridge piers considering multirefraction correction

    Author: Wu, Tao; Hou, Shitong; Sun, Weihao; Shi, Jing; Yang, Fujun; Zhang, Jian; Wu, Gang; He, Xiaoyuan

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 146, Issue , pp. -. DOI: 10.1016/j.autcon.2022.104706

  • 2、Improving robustness of case-based reasoning for early-stage construction cost estimation

    Author: Xiao, Xue; Skitmore, Martin; Yao, Weixin; Ali, Yousuf

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 151, Issue , pp. -. DOI: 10.1016/j.autcon.2023.104777

  • 3、Transformer-based deep learning model and video dataset for unsafe action identification in construction projects

    Author: Yang, Meng; Wu, Chengke; Guo, Yuanjun; Jiang, Rui; Zhou, Feixiang; Zhang, Jianlin; Yang, Zhile

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 146, Issue , pp. -. DOI: 10.1016/j.autcon.2022.104703

  • 4、Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering

    Author: Zhang, Jianqi; Yang, Xu; Wang, Wei; Guan, Jinchao; Ding, Ling; Lee, Vincent C. S.

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 146, Issue , pp. -. DOI: 10.1016/j.autcon.2022.104699

  • 5、Unifying transformer and convolution for dam crack detection

    Author: Zhang, Erhu; Shao, Linhao; Wang, Yang

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.autcon.2022.104712

  • 6、Intelligent technologies for construction machinery using data-driven methods

    Author: Zheng, Zhe; Wang, Fei; Gong, Guofang; Yang, Huayong; Han, Dong

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.autcon.2022.104711

  • 7、Representation and assessment of spatial design using a hierarchical graph neural network: Classification of shopping center types

    Author: Yang, Lijing; Huang, Weixin

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.autcon.2022.104727

  • 8、Intelligentization of wheel loader shoveling system based on multi-source data acquisition

    Author: Cao, Bingwei; Liu, Xinhui; Chen, Wei; Li, Haomin; Wang, Xianqing

    Journal: AUTOMATION IN CONSTRUCTION. 2023; Vol. 147, Issue , pp. -. DOI: 10.1016/j.autcon.2022.104733

投稿常見問(wèn)題

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