D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 60 Citations 11,224 245 World Ranking 1511 National Ranking 28

Overview

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Augmented reality applications in design and manufacturing

A.Y.C. Nee;S.K. Ong;G. Chryssolouris;D. Mourtzis.
CIRP Annals (2012)

599 Citations

Multi‐objective optimization of part‐ building orientation in stereolithography

W. Cheng;J.Y.H. Fuh;A.Y.C. Nee;Y.S. Wong.
Rapid Prototyping Journal (1995)

348 Citations

Digital Twin in Industry: State-of-the-Art

Fei Tao;He Zhang;Ang Liu;A. Y. C. Nee.
IEEE Transactions on Industrial Informatics (2019)

344 Citations

Augmented reality applications in manufacturing: a survey

S. K. Ong;M. L. Yuan;A. Y. C. Nee.
International Journal of Production Research (2008)

337 Citations

Virtual and Augmented Reality Applications in Manufacturing

Andrew Y. C. Nee;Soh-Khim Ong.
(2004)

320 Citations

Digital twin-driven product design framework

Fei Tao;Fangyuan Sui;Ang Liu;Qinglin Qi.
International Journal of Production Research (2019)

299 Citations

Advanced manufacturing systems: socialization characteristics and trends

F. Tao;Y. Cheng;L. Zhang;A. Y. Nee.
Journal of Intelligent Manufacturing (2017)

268 Citations

A comprehensive survey of augmented reality assembly research

X. Wang;S. K. Ong;A. Y. C. Nee.
Advances in Manufacturing (2016)

262 Citations

Methods for in-field user calibration of an inertial measurement unit without external equipment

W T Fong;S K Ong;A Y C Nee.
Measurement Science and Technology (2008)

247 Citations

Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts

W. D. Li;S. K. Ong;A. Y. C. Nee.
International Journal of Production Research (2002)

234 Citations

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Best Scientists Citing Andrew Y. C. Nee

Lihui Wang

Lihui Wang

Royal Institute of Technology

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Fei Tao

Fei Tao

Beihang University

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Xun Xu

Xun Xu

University of Auckland

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Liang Gao

Huazhong University of Science and Technology

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Jerry Y. H. Fuh

Jerry Y. H. Fuh

National University of Singapore

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Weidong Li

Weidong Li

Coventry University

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Lin Zhang

Lin Zhang

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Manoj Kumar Tiwari

Manoj Kumar Tiwari

Indian Institute of Technology Kharagpur

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George Q. Huang

George Q. Huang

University of Hong Kong

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Xiangyu Wang

Xiangyu Wang

Curtin University

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Ralph F. Osterhout

Ralph F. Osterhout

Microsoft (United States)

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Dimitris Mourtzis

Dimitris Mourtzis

University of Patras

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Felix T.S. Chan

Felix T.S. Chan

Hong Kong Polytechnic University

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Yingfeng Zhang

Yingfeng Zhang

Northwestern Polytechnical University

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József Váncza

József Váncza

Budapest University of Technology and Economics

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George Chryssolouris

George Chryssolouris

University of Patras

Publications: 21

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