Shaoze Wu
- Building and Construction top 5%
- Industrial and Manufacturing Engineering top 5%
- Radiological and Ultrasound Technology top 2%
- Civil and Structural Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Guomin ZhangLei HouHaosen ChenXiangyu WangYongtao TanYang ZouQuddus TusharMuhammed A. Bhuiyan
- Topics
- Occupational Health and Safety Research (4 papers)Human-Automation Interaction and Safety (3 papers)BIM and Construction Integration (3 papers)
- Cited by
- Radiological and Ultrasound TechnologyIndustrial and Manufacturing EngineeringBuilding and Construction
- Partner nations
- AustraliaNew ZealandSouth Korea
In The Last Decade
Shaoze Wu
7 papers receiving 355 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Building and Construction 151
- Industrial and Manufacturing Engineering 118
- Radiological and Ultrasound Technology 103
- Civil and Structural Engineering 87
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Shaoze Wu
This map shows the geographic impact of Shaoze Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaoze Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoze Wu more than expected).
Fields of papers citing papers by Shaoze Wu
This network shows the impact of papers produced by Shaoze Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaoze Wu. The network helps show where Shaoze Wu may publish in the future.
Co-authorship network of co-authors of Shaoze Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoze Wu. A scholar is included among the top collaborators of Shaoze Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaoze Wu. Shaoze Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 31 | |
| 3 | 28 | |
| 4 | Real-time mixed reality-based visual warning for construction workforce safetybreakdown → | 117 |
| 5 | 29 | |
| 6 | 146 | |
| 7 | Extended Reality Approach for Construction Quality Control | 9 |
About Shaoze Wu
Shaoze Wu is a scholar working on Radiological and Ultrasound Technology, Human-Computer Interaction and Geology, having authored 7 papers that have together received 368 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (4 papers), Human-Automation Interaction and Safety (3 papers) and BIM and Construction Integration (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (103 citations), Industrial and Manufacturing Engineering (118 citations) and Building and Construction (151 citations). Shaoze Wu has collaborated with scholars based in Australia, New Zealand and South Korea. Frequent co-authors include Guomin Zhang, Lei Hou, Haosen Chen, Xiangyu Wang, Yongtao Tan, Yang Zou, Quddus Tushar, Muhammed A. Bhuiyan, Sungkon Moon and Ling Ma. Their work appears in journals such as Automation in Construction, Safety Science and Applied Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.