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h5 指数:119
h5 中位数:180

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#2 Civil Engineering

标题/作者	引用次数	年份
A critical review of virtual and augmented reality (VR/AR) applications in construction safety X Li, W Yi, HL Chi, X Wang, APC Chan Automation in Construction 86, 150-162	772	2018
Autonomous concrete crack detection using deep fully convolutional neural network CV Dung Automation in Construction 99, 52-58	721	2019
A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends S Tang, DR Shelden, CM Eastman, P Pishdad-Bozorgi, X Gao Automation in Construction 101, 127-139	571	2019
Towards a semantic Construction Digital Twin: Directions for future research C Boje, A Guerriero, S Kubicki, Y Rezgui Automation in Construction 114, 103179	547	2020
Critical evaluation of off-site construction research: A Scientometric analysis MR Hosseini, I Martek, EK Zavadskas, AA Aibinu, M Arashpour, ... Automation in Construction 87, 235-247	425	2018
Computer vision-based concrete crack detection using U-net fully convolutional networks Z Liu, Y Cao, Y Wang, W Wang Automation in Construction 104, 129-139	422	2019
Blockchain in the built environment and construction industry: A systematic review, conceptual models and practical use cases J Li, D Greenwood, M Kassem Automation in Construction 102, 288-307	418	2019
Detecting non-hardhat-use by a deep learning method from far-field surveillance videos Q Fang, H Li, X Luo, L Ding, H Luo, TM Rose, W An Automation in Construction 85, 1-9	395	2018
Building Information Modeling (BIM) for transportation infrastructure–Literature review, applications, challenges, and recommendations A Costin, A Adibfar, H Hu, SS Chen Automation in Construction 94, 257-281	374	2018
Roles of artificial intelligence in construction engineering and management: A critical review and future trends Y Pan, L Zhang Automation in Construction 122, 103517	374	2021
A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory L Ding, W Fang, H Luo, PED Love, B Zhong, X Ouyang Automation in Construction 86, 118-124	364	2018
Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications M Jia, A Komeily, Y Wang, RS Srinivasan Automation in Construction 101, 111-126	359	2019
Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices I Awolusi, E Marks, M Hallowell Automation in Construction 85, 96-106	355	2018
Applications of additive manufacturing in the construction industry–A forward-looking review DD Camacho, P Clayton, WJ O'Brien, C Seepersad, M Juenger, R Ferron, ... Automation in Construction 89, 110-119	353	2018
Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones T Rakha, A Gorodetsky Automation in Construction 93, 252-264	346	2018
Productivity of digital fabrication in construction: Cost and time analysis of a robotically built wall BG de Soto, I Agustí-Juan, J Hunhevicz, S Joss, K Graser, G Habert, ... Automation in Construction 92, 297-311	317	2018
Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities A Darko, APC Chan, MA Adabre, DJ Edwards, MR Hosseini, EE Ameyaw Automation in Construction 112, 103081	303	2020
An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction CZ Li, F Xue, X Li, J Hong, GQ Shen Automation in Construction 89, 146-161	300	2018
Blockchain-based framework for improving supply chain traceability and information sharing in precast construction Z Wang, T Wang, H Hu, J Gong, X Ren, Q Xiao Automation in Construction 111, 103063	297	2020
Additive manufacturing as an enabling technology for digital construction: A perspective on Construction 4.0 F Craveiro, JP Duarte, H Bartolo, PJ Bartolo Automation in Construction 103, 251-267	297	2019

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