What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Enzyme
- Bacteria
His scientific interests lie mostly in Cloud computing, Cloud manufacturing, Manufacturing engineering, Service and Big data.
Cloud computing is closely attributed to Distributed computing in his work.
His Cloud manufacturing research is multidisciplinary, relying on both Computer-integrated manufacturing and Knowledge management.
The concepts of his Manufacturing engineering study are interwoven with issues in Product design, Product design specification, Product engineering and Key.
His biological study spans a wide range of topics, including Quality of service, Software, Parallel algorithm and Process management.
His Big data study combines topics in areas such as Smart manufacturing, Information technology and Data science.
His most cited work include:
- Digital twin-driven product design, manufacturing and service with big data (651 citations)
- Cloud manufacturing: a new manufacturing paradigm (492 citations)
- CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System (459 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cloud computing, Cloud manufacturing, Manufacturing engineering, Resource and Distributed computing.
Fei Tao combines subjects such as Key and Big data with his study of Cloud computing.
The various areas that Fei Tao examines in his Big data study include Information technology and Data science.
His Cloud manufacturing research focuses on Service and how it connects with Process.
His study on Manufacturing engineering is mostly dedicated to connecting different topics, such as Manufacturing.
His studies in Resource integrate themes in fields like Quality of service, Database, Knowledge management and Process management.
He most often published in these fields:
- Cloud computing (16.62%)
- Cloud manufacturing (16.05%)
- Manufacturing engineering (11.46%)
What were the highlights of his more recent work (between 2018-2021)?
- Smart manufacturing (6.59%)
- Cloud computing (16.62%)
- Big data (6.30%)
In recent papers he was focusing on the following fields of study:
Fei Tao focuses on Smart manufacturing, Cloud computing, Big data, Service and Key.
His work carried out in the field of Smart manufacturing brings together such families of science as Engineering management, Industry 4.0 and Industrial Internet.
His research investigates the connection with Cloud computing and areas like Distributed computing which intersect with concerns in Cloud manufacturing.
His research in Big data intersects with topics in Variety, Data-driven, Information technology and Data science.
His Key research incorporates elements of Product design and Systems engineering.
His Product design research integrates issues from Product lifecycle and Manufacturing engineering.
Between 2018 and 2021, his most popular works were:
- Digital Twin in Industry: State-of-the-Art (245 citations)
- Digital twin-driven product design framework (171 citations)
- New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics (151 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Enzyme
- Bacteria
Fei Tao spends much of his time researching Cloud computing, Smart manufacturing, Systems engineering, Service and Big data.
Fei Tao studies Cloud computing, focusing on Cloud manufacturing in particular.
His work in Cloud manufacturing covers topics such as Agent architecture which are related to areas like Scheduling.
The study incorporates disciplines such as Engineering management and Industrial Internet in addition to Smart manufacturing.
His Systems engineering study integrates concerns from other disciplines, such as Product design, Product lifecycle, Key and Emerging technologies.
His study in Service is interdisciplinary in nature, drawing from both Data type, Information technology, Process and Data science.
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