Andrew Y. C. Nee

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Mechanical engineering
• Composite material

Andrew Y. C. Nee mostly deals with Product design, Augmented reality, Manufacturing engineering, Process and Machining. His Product design research incorporates elements of New product development, Engineering drawing and Systems engineering. His work in the fields of Engineering drawing, such as CAD, overlaps with other areas such as Design systems.

His Augmented reality research is included under the broader classification of Human–computer interaction. His work deals with themes such as Curriculum and Plan, which intersect with Manufacturing engineering. His Machining research integrates issues from Sintering, Simulated annealing, Mathematical optimization and Structural engineering.

His most cited work include:

• Augmented reality applications in design and manufacturing (357 citations)
• Digital Twin in Industry: State-of-the-Art (245 citations)
• Multi‐objective optimization of part‐ building orientation in stereolithography (211 citations)

What are the main themes of his work throughout his whole career to date?

Andrew Y. C. Nee mainly focuses on Augmented reality, Engineering drawing, Artificial intelligence, Product design and Machining. The various areas that Andrew Y. C. Nee examines in his Augmented reality study include Multimedia, Simulation and Virtual reality. Andrew Y. C. Nee works mostly in the field of Engineering drawing, limiting it down to topics relating to Fixture and, in certain cases, Clamping.

His research brings together the fields of Computer vision and Artificial intelligence. His Product design research incorporates themes from Product lifecycle, Manufacturing engineering, Process and Systems engineering. Specifically, his work in Manufacturing engineering is concerned with the study of Remanufacturing.

He most often published in these fields:

• Augmented reality (21.56%)
• Engineering drawing (18.58%)
• Artificial intelligence (11.47%)

What were the highlights of his more recent work (between 2013-2021)?

• Augmented reality (21.56%)
• Manufacturing engineering (11.24%)
• Remanufacturing (4.82%)

In recent papers he was focusing on the following fields of study:

Andrew Y. C. Nee focuses on Augmented reality, Manufacturing engineering, Remanufacturing, Product design and Human–computer interaction. Artificial intelligence covers Andrew Y. C. Nee research in Augmented reality. His biological study spans a wide range of topics, including New product development, Big data and Material selection.

His work carried out in the field of Remanufacturing brings together such families of science as Quality, Process, Product, Decision support system and Component. His Product design research focuses on Product lifecycle and how it relates to Sustainable product development. His study in the field of Usability also crosses realms of Smart shop.

Between 2013 and 2021, his most popular works were:

• Digital Twin in Industry: State-of-the-Art (245 citations)
• Advanced manufacturing systems: socialization characteristics and trends (203 citations)
• A comprehensive survey of augmented reality assembly research (181 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Mechanical engineering
• Composite material

His primary areas of investigation include Product design, Augmented reality, Manufacturing engineering, Remanufacturing and Product. His Product design study combines topics from a wide range of disciplines, such as Algorithm, Mathematical optimization and Selection. His study in Augmented reality is interdisciplinary in nature, drawing from both Scientific visualization and Simulation.

His Manufacturing engineering study integrates concerns from other disciplines, such as Designtheory, Curriculum and Big data. The study incorporates disciplines such as Quality, Production schedule, Product lifecycle, Pareto principle and Process in addition to Remanufacturing. His Energy consumption research includes themes of Engineering drawing and Sequence planning.