Evidence map›Paper›PMID 31540471›Full record

ReviewInternational journal of environmental research and public health2019

BIM-Based Visualization Research in the Construction Industry: A Network Analysis.

Zezhou Wu, Changhong Chen, Yuzhu Cai, Chen Lu, Hao Wang, Tao Yu

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis.International journal of environmental research and public health · 2022
    Article
  3. Construction and Demolition Waste Management Research: A Science Mapping Analysis.International journal of environmental research and public health · 2022
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zezhou WuSino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China. wuzezhou@szu.edu.cn.
Changhong ChenSino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China. 1810332082@email.szu.edu.cn.
Yuzhu CaiSino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China. caiyuzhu2016@email.szu.edu.cn.
Chen LuSchool of Management, Guangzhou University, Guangzhou 510006, China. gzuluchen@163.com.
Hao WangSchool of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China. hao.wang@cufe.edu.cn.
Tao YuDepartment of Construction Management, School of Civil Engineering, Harbin Institute of Technology, Harbin 150006, China. yutao2018@hit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visualization is one of the main features of Building Information Modeling (BIM). It has many advantages throughout the lifecycle of a construction project, and it has become a timely research topic in recent years. However, no attempt has been made to give a holistic understanding of the existing BIM-based visualization research status. Thus, this study aims to conduct a scientometric analysis of the existing BIM-based visualization literature and to gain a snapshot of the research status during the period 2010-2019. A total of 255 articles were abstracted from the Scopus database. Then, the VOSviewer program was employed to visualize the research status from the perspectives of scholars, countries/regions, journals, articles, and co-occurring keywords. Results revealed that Wang X. published the greatest number of articles, while Cheng J.C.P. received the greatest average normalized citations. Furthermore,

Indexed as

Virtual RealityBibliometricsConstruction IndustryHumansbuilding information modeling (BIM)network analysisscientometric analysisvisualization

Identifiers

PMID31540471
PMCPMC6766038

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.