Jun Wang

Dr. Jun Wang


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2016 in Automation in Construction
Verified
Journal Article
Closed access
PWPeng Wu
Peng Wu
JWJun Wang
Jun Wang
XWXiangyu Wang
Xiangyu Wang

PWPeng Wang
Peng Wang
PWPeng Wu
Peng Wu
JWJun Wang
Jun Wang
HCHung-Lin Chi
Hung-Lin Chi
XWXiangyu Wang
Xiangyu Wang
Virtual Reality (VR) has been rapidly recognized and implemented in construction engineering education and training (CEET) in recent years due to its benefits of providing an engaging and immersive environment. The objective of this review is to critically collect and analyze the VR applications in CEET, aiming at all VR-related journal papers published from 1997 to 2017. The review follows a three-stage analysis on VR technologies, applications and future directions through a systematic analysis. It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game-based VR, to Building Information Modelling (BIM)-enabled VR. A sibling technology, Augmented Reality (AR), for CEET adoptions has also emerged in recent years. These technologies have been applied in architecture and design visualization, construction health and safety training, equipment and operational task training, as well as structural analysis. Future research directions, including the integration of VR with emerging education paradigms and visualization technologies, have also been provided. The findings are useful for both researchers and educators to usefully integrate VR in their education and training programs to improve the training performance.

19 October 2020 in Archives of Computational Methods in Engineering
Verified
Journal Article
Closed access
PDF file
Shuyuan XuShuyuan Xu
Shuyuan Xu
JWJun Wang
Jun Wang
WSWenchi Shou
Wenchi Shou
TNTuan Ngo
Tuan Ngo
ASAbdul-Manan Sadick
Abdul-Manan Sadick
XWXiangyu Wang
Xiangyu Wang

1 January 2017 in Frontiers of Engineering Management
Verified
Journal Article
Closed access
PDF file
JWJun Wang
Jun Wang
PWPeng Wu
Peng Wu
XWXiangyu Wang
Xiangyu Wang
WSWENCHI SHOU
WENCHI SHOU

1 October 2016 in Habitat International
Verified
Journal Article
Closed access
CMChao Mao
Chao Mao
FXFangyun Xie
Fangyun Xie
Lei HouLei Hou
Lei Hou
PWPeng Wu
Peng Wu
JWJun Wang
Jun Wang
XWXiangyu Wang
Xiangyu Wang

Verified
Journal Article
Open access
PDF file
Junxiang ZhuJunxiang Zhu
Junxiang Zhu
GWGraeme Wright
Graeme Wright
JWJun Wang
Jun Wang
XWXiangyu Wang
Xiangyu Wang
The benefits brought by the integration of Building Information Modelling (BIM) and Geographic Information Systems (GIS) are being proved by more and more research. The integration of the two systems is difficult for many reasons. Among them, data incompatibility is the most significant, as BIM and GIS data are created, managed, analyzed, stored, and visualized in different ways in terms of coordinate systems, scope of interest, and data structures. The objective of this paper is to review the relevant research papers to (1) identify the most relevant data models used in BIM/GIS integration and understand their advantages and disadvantages; (2) consider the possibility of other data models that are available for data level integration; and (3) provide direction on the future of BIM/GIS data integration.