Shaoze Wu

566 total citations · 1 hit paper
7 papers, 368 citations indexed

About

Shaoze Wu is a scholar working on Radiological and Ultrasound Technology, Social Psychology and Building and Construction. According to data from OpenAlex, Shaoze Wu has authored 7 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiological and Ultrasound Technology, 3 papers in Social Psychology and 3 papers in Building and Construction. Recurrent topics in Shaoze Wu's work include Occupational Health and Safety Research (4 papers), Human-Automation Interaction and Safety (3 papers) and BIM and Construction Integration (3 papers). Shaoze Wu is often cited by papers focused on Occupational Health and Safety Research (4 papers), Human-Automation Interaction and Safety (3 papers) and BIM and Construction Integration (3 papers). Shaoze Wu collaborates with scholars based in Australia, New Zealand and China. Shaoze Wu's co-authors include Guomin Zhang, Lei Hou, Haosen Chen, Yongtao Tan, Xiangyu Wang, Yang Zou, Quddus Tushar, Muhammed A. Bhuiyan, Sungkon Moon and Ling Ma and has published in prestigious journals such as Automation in Construction, Safety Science and Applied Sciences.

In The Last Decade

Shaoze Wu

7 papers receiving 355 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Real-time mixed reality-based visual warning for construction workforce safety

2022 117 citations Shaoze Wu, Lei Hou et al. Automation in Construction profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shaoze Wu Australia	7	151	118	103	87	63	7	368
Diego Calvetti Portugal	8	205 1.4×	102 0.9×	70 0.7×	34 0.4×	69 1.1×	32	390
Mario Wolf Germany	11	131 0.9×	90 0.8×	60 0.6×	22 0.3×	78 1.2×	21	349
Omobolanle Ogunseiju United States	10	168 1.1×	156 1.3×	125 1.2×	27 0.3×	49 0.8×	30	473
Doyeop Lee South Korea	13	252 1.7×	64 0.5×	183 1.8×	137 1.6×	33 0.5×	28	505
Olga Golovina Germany	10	173 1.1×	50 0.4×	206 2.0×	66 0.8×	22 0.3×	14	380
Vito Getuli Italy	8	296 2.0×	50 0.4×	150 1.5×	78 0.9×	29 0.5×	18	427
Ala Nekouvaght Tak Iran	12	203 1.3×	49 0.4×	57 0.6×	85 1.0×	50 0.8×	17	336
Moslem Sheikhkhoshkar United Kingdom	12	315 2.1×	62 0.5×	51 0.5×	80 0.9×	20 0.3×	24	473
Mohammad Mostafa Soltani Canada	9	172 1.1×	43 0.4×	99 1.0×	199 2.3×	50 0.8×	13	405
Christian Schranz Austria	10	198 1.3×	93 0.8×	22 0.2×	95 1.1×	45 0.7×	34	384

Countries citing papers authored by Shaoze Wu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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7 of 7 papers shown

1.

Wu, Shaoze, et al.. (2024). Using Eye-Tracking to Measure Worker Situation Awareness in Augmented Reality. Automation in Construction. 165. 105582–105582. 8 indexed citations

2.

Wu, Shaoze, Lei Hou, Haosen Chen, et al.. (2023). Cognitive ergonomics-based Augmented Reality application for construction performance. Automation in Construction. 149. 104802–104802. 31 indexed citations

3.

Chen, Haosen, Lei Hou, Shaoze Wu, et al.. (2023). Augmented reality, deep learning and vision-language query system for construction worker safety. Automation in Construction. 157. 105158–105158. 28 indexed citations

4.

Wu, Shaoze, Lei Hou, Guomin Zhang, & Haosen Chen. (2022). Real-time mixed reality-based visual warning for construction workforce safety. Automation in Construction. 139. 104252–104252. 117 indexed citations breakdown →

5.

Chen, Haosen, Lei Hou, Guomin Zhang, & Shaoze Wu. (2022). Using Context-Guided data Augmentation, lightweight CNN, and proximity detection techniques to improve site safety monitoring under occlusion conditions. Safety Science. 158. 105958–105958. 29 indexed citations

6.

Hou, Lei, Shaoze Wu, Guomin Zhang, Yongtao Tan, & Xiangyu Wang. (2020). Literature Review of Digital Twins Applications in Construction Workforce Safety. Applied Sciences. 11(1). 339–339. 146 indexed citations

7.

Wu, Shaoze, et al.. (2019). Extended Reality Approach for Construction Quality Control. UCL Discovery (University College London). 9 indexed citations

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.

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