What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Xiangyu Wang mostly deals with Building information modeling, Augmented reality, Human–computer interaction, Systems engineering and Virtual reality.
His Building information modeling research integrates issues from Knowledge management, Engineering management, Construction engineering, Information system and Geographic information system.
His Augmented reality research includes elements of Task, Usability, Visualization, Documentation and Process.
His Human–computer interaction study integrates concerns from other disciplines, such as Robot, Human–robot interaction, Multimedia and Interface.
The Systems engineering study combines topics in areas such as Cloud manufacturing, Facility management and Cyber-physical system.
His research in Virtual reality intersects with topics in Construction site safety and Training system.
His most cited work include:
- A theoretical framework of a BIM-based multi-disciplinary collaboration platform (352 citations)
- Localization and broadband follow-up of the gravitational-wave transient GW150914 (262 citations)
- A critical review of the use of 3-D printing in the construction industry (250 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Building information modeling, Human–computer interaction, Augmented reality, Systems engineering and Multimedia.
Xiangyu Wang combines subjects such as Construction engineering, Information management, Engineering management and Geographic information system with his study of Building information modeling.
His Human–computer interaction study combines topics from a wide range of disciplines, such as Virtual machine and Interface.
The concepts of his Augmented reality study are interwoven with issues in Visualization and Task.
His Systems engineering study frequently draws connections to other fields, such as Cloud manufacturing.
Cloud manufacturing is often connected to Manufacturing in his work.
He most often published in these fields:
- Building information modeling (24.64%)
- Human–computer interaction (17.34%)
- Augmented reality (18.48%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (8.27%)
- Control theory (8.27%)
- Building information modeling (24.64%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Control theory, Building information modeling, Robot and Computer vision.
His studies in Artificial intelligence integrate themes in fields like Machine learning and Identification.
Xiangyu Wang has researched Building information modeling in several fields, including Construction engineering and Geographic information system.
Xiangyu Wang has researched Computer vision in several fields, including RSS, Signal strength, Signal and Linear regression.
His Human–robot interaction research includes themes of Control engineering, Robot control, Human–computer interaction and Flexibility.
His work on Augmented reality as part of general Human–computer interaction research is frequently linked to Smart shop, bridging the gap between disciplines.
Between 2018 and 2021, his most popular works were:
- Scheduling in cloud manufacturing: state-of-the-art and research challenges (78 citations)
- Symbiotic human-robot collaborative assembly (71 citations)
- Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology (68 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Statistics
His main research concerns Building information modeling, Geographic information system, Shapefile, Computer vision and Artificial intelligence.
Xiangyu Wang combines subjects such as Pipeline transport, Corrosion under insulation, Corrosion, Construction engineering and Fossil fuel with his study of Building information modeling.
His work carried out in the field of Geographic information system brings together such families of science as Clipping, Data exchange, Industry Foundation Classes and Data mining.
His Industry Foundation Classes research incorporates themes from Data conversion, Geospatial analysis and Engineering drawing.
Xiangyu Wang has included themes like RSS, Signal, Signal strength and Linear regression in his Computer vision study.
The concepts of his Artificial intelligence study are interwoven with issues in Scheme and Facility management.
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