• ISSN: 1674-7461
  • CN: 11-5823/TU
  • Hosted by: China Society and Technology Association
  • Organizer: China Graphics Society
  • Guidance: China Academy of Building Research

Citation: Jiali Han, Nannan Cui, Chunwei Zhang. An Analysis of Research Status and Supporting Technology of Intelligent Construction by Using Bibliometrics Method. Journal of Information Technologyin Civil Engineering and Architecture, 2024, 16(1): 97-103. doi: 10.16670/j.cnki.cn11-5823/tu.2024.01.17

2024, 16(1): 97-103. doi: 10.16670/j.cnki.cn11-5823/tu.2024.01.17

An Analysis of Research Status and Supporting Technology of Intelligent Construction by Using Bibliometrics Method

1. 

College of Civil Engineering, Qingdao University of Technology, Qingdao 266555, China

2. 

School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China

3. 

School of Architecture and Civil Engineering, Shenyang University of Technology, Shenyang 110870, China

Corresponding author: 张春巍,

Web Publishing Date: 2024-02-20

Fund Project: 山东省重点研发计划(重大科技创新工程)“绿色智能建造评价技术体系项目” 2021CXGC011204

[1]

尤志嘉, 刘紫薇. 工业4.0驱动下建筑业智能化转型升级战略研究[J]. 建筑经济, 2022, 43(03): 21-7.

[2]

鲍跃全, 李惠. 人工智能时代的土木工程[J]. 土木工程学报, 2019, 52(05): 1-11. 

[3]

尤志嘉, 郑莲琼, 冯凌俊. 智能建造系统基础理论与体系结构[J]. 土木工程与管理学报, 2021, 38(02): 105-11+18. 

[4]

刘占省, 孙啸涛, 史国梁. 智能建造在土木工程施工中的应用综述[J]. 施工技术(中英文), 2021, 50(13): 40-53. 

[5]

尤志嘉, 吴琛, 刘紫薇. 智能建造研究综述[J]. 土木工程与管理学报, 2022, 39(03): 82-7+139. 

[6]

罗齐鸣, 华建民, 黄乐鹏, 等. 基于知识图谱的国内外智慧建造研究可视化分析[J]. 建筑结构学报, 2021, 42(06): 1-14. 

[7]

陈述, 刘雨, 王建平. 基于文献计量学的智能建造知识图谱构建[J]. 科学技术与工程, 2022, 22(14): 5808-16. 

[8]

刘新怡, 姜仁贵, 朱记伟, 等. 基于文献计量学的智能建造研究可视化知识图谱分析[J]. 建筑经济, 2022, 43(S1): 821-825. 

[9]

熊鑫博, 张九红. 我国智慧建筑研究现状及趋势分析——基于CiteSpace的可视化研究[J]. 智能建筑与智慧城市, 2021, (04): 30-32+8. 

[10]

李明鑫, 王松. 近十年国内知识图谱研究脉络及主题分析[J]. 图书情报知识, 2016, (04): 93-101. 

[11]

宋秀芳, 迟培娟. Vosviewer与Citespace应用比较研究[J]. 情报科学, 2016, 34(07): 108-112+46. 

[12]

SHUKLA A K, JANMAIJAYA M, ABRAHAM A, et al. Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988-2018)[J]. Eng Appl Artif Intell, 2019, 85: 517-532.doi: 10.1016/j.engappai.2019.06.010

[13]

SANTOS R, COSTA A A, GRILO A. Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015[J]. Autom Constr, 2017, 80: 118-136.doi: 10.1016/j.autcon.2017.03.005

[14]

LIAO L H, QUAN L R, YANG C, et al. Knowledge synthesis of intelligent decision techniques applications in the AECO industry[J]. Autom Constr, 2022, 140: 16.

[15]

LI X, WU P, SHEN G Q P, et al. Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach[J]. Autom Constr, 2017, 84: 195-206.doi: 10.1016/j.autcon.2017.09.011

[16]

曹树金, 吴育冰, 韦景竹, 等. 知识图谱研究的脉络 流派与趋势——基于SSCI与CSSCI期刊论文的计量与可视化[J]. 中国图书馆学报, 2015, 41(05): 16-34. 

[17]

SHKUNDALOV D, VILUTIENE T. Bibliometric analysis of building information modeling, geographic information systems and web environment integration[J]. Autom Constr, 2021, 128: 15.

[18]

SU H N, LEE P C. Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight[J]. Scientometrics, 2010, 85(1): 65-79.doi: 10.1007/s11192-010-0259-8

[19]

DARKO A, CHAN A P C, ADABRE M A, et al. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities[J]. Autom Constr, 2020, 112: 19.

[20]

XU Y S, CHONG H Y, CHI M. Blockchain in the AECO industry: Current status, key topics, and future research agenda[J]. Autom Constr, 2022, 134: 14.

[21]

AMUELSON O, BJöRK B-C. A longitudinal study of the adoption of IT technology in the Swedish building sector[J]. Autom Constr, 2014, 37: 182-90.doi: 10.1016/j.autcon.2013.10.006

[22]

蔡诗瑶. 高层建筑自动化与机器人优先发展方向与保障对策研究[D]. 清华大学, 2021.

[23]

SHUKLA A K, JANMAIJAYA M, ABRAHAM A, et al. Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)[J]. Engineering Applications of Artificial Intelligence, 2019, 85: 517-32.doi: 10.1016/j.engappai.2019.06.010

[24]

ZHANG F, CHAN A P C, DARKO A, et al. Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry[J]. Autom Constr, 2022, 139: 17.

[25]

XIAO B, CHEN C, YIN X F. Recent advancements of robotics in construction[J]. Autom Constr, 2022, 144: 16.

[26]

SAEDI S, FINI A A F, KHANZADI M, et al. Applications of electroencephalography in construction[J]. Autom Constr, 2022, 133: 15.

[27]

GARCIA J, VILLAVICENCIO G, ALTIMIRAS F, et al. Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions[J]. Autom Constr, 2022, 142: 22.

[28]

ELSEVIER B V. Automation in construction[EB/OL] 2022, https://www.journals.elsevier.com/automation-in-construction.

[29]

CHEN C. Science Mapping: A Systematic Review of the Literature[J]. Journal of Data Information Science, 2017, 2(2): 1-40.doi: 10.1515/jdis-2017-0006

Metrics
  • PDF Downloads(22)
  • Abstract views(1021)
  • HTML views(464)
Catalog

Figures And Tables

An Analysis of Research Status and Supporting Technology of Intelligent Construction by Using Bibliometrics Method

Jiali Han, Nannan Cui, Chunwei Zhang

  • Copyright © Journal of Information Technologyin Civil Engineering and Architecture Editorial Office
  • 京ICP备17057008号
  • Address:No.30 Bei San Huan Dong Lu,Beijing 100013,China
  • Tel:010-64517910 Postcode:100013
  • Wechat:tmjzgcxxjs  QQ:3676678954  E-mail:tmqk@cgn.net.cn