D-Index & Metrics Best Publications
Engineering and Technology
New Zealand
2022

D-Index & Metrics 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.

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
Engineering and Technology D-index 58 Citations 8,635 281 World Ranking 1239 National Ranking 4

Research.com Recognitions

Awards & Achievements

2022 - Research.com Engineering and Technology in New Zealand Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Software

Xun Xu mainly focuses on Manufacturing engineering, Cloud manufacturing, STEP-NC, Nanotechnology and Numerical control. The various areas that Xun Xu examines in his Manufacturing engineering study include Sustainable design, Structure and Manufacturing process. His studies in Cloud manufacturing integrate themes in fields like Computer-integrated manufacturing, Engineering management, Industry 4.0, Scheduling and Process management.

His Process management research includes themes of Resource, Service provider, Cloud computing and Service. His biological study spans a wide range of topics, including Data modeling, Engineering drawing, Machine tool and Interoperability. The study incorporates disciplines such as Porous carbon, Electrochemistry, Honeycomb structure and Chemical stability in addition to Nanotechnology.

His most cited work include:

  • From cloud computing to cloud manufacturing (1145 citations)
  • Intelligent Manufacturing in the Context of Industry 4.0: A Review (680 citations)
  • Sulfur-graphene composite for rechargeable lithium batteries (330 citations)

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

The scientist’s investigation covers issues in Manufacturing engineering, Machining, Condensed matter physics, STEP-NC and Superconductivity. His research in Manufacturing engineering intersects with topics in Cloud manufacturing and Process. Xun Xu has researched Cloud manufacturing in several fields, including Manufacturing and Process management.

Xun Xu combines subjects such as Interface and Machine tool with his study of Machining. His research investigates the connection between STEP-NC and topics such as Engineering drawing that intersect with problems in Process. In his research on the topic of Process development execution system, Cloud computing is strongly related with Integrated Computer-Aided Manufacturing.

He most often published in these fields:

  • Manufacturing engineering (14.97%)
  • Machining (13.72%)
  • Condensed matter physics (13.31%)

What were the highlights of his more recent work (between 2019-2021)?

  • Nanotechnology (13.10%)
  • Chemical engineering (6.24%)
  • Industry 4.0 (3.33%)

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

His main research concerns Nanotechnology, Chemical engineering, Industry 4.0, Energy transformation and Personalization. His Nanotechnology study combines topics from a wide range of disciplines, such as Electrocatalyst, Absorption, Near-infrared spectroscopy, Material Design and Liquid metal. He has included themes like Anode, Metal, Nonmetal and Sodium in his Chemical engineering study.

His study in Industry 4.0 is interdisciplinary in nature, drawing from both Agile software development and Digital transformation. His work in Reference model covers topics such as Information and Communications Technology which are related to areas like Manufacturing engineering. His Manufacturing engineering research is multidisciplinary, incorporating elements of Cloud manufacturing, Machine tool and Interoperability.

Between 2019 and 2021, his most popular works were:

  • Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues (158 citations)
  • High-performance room-temperature sodium–sulfur battery enabled by electrocatalytic sodium polysulfides full conversion (38 citations)
  • A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment (38 citations)

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

  • Artificial intelligence
  • Operating system
  • Software

His primary areas of study are Chemical engineering, Nanotechnology, Industry 4.0, Water splitting and Transition metal. His Chemical engineering research is multidisciplinary, incorporating perspectives in Nanodot, Sodium, Sodium–sulfur battery and Sulfur utilization. His Nanotechnology research incorporates elements of Photocatalysis, Material structure, Energy transformation, Absorption and Near-infrared spectroscopy.

His work deals with themes such as Digital transformation and Industrial organization, which intersect with Industry 4.0. His Water splitting study integrates concerns from other disciplines, such as Electrocatalyst, Lithium cobalt oxide, Platinum, Hydrogen production and Material Design. His study looks at the relationship between Transition metal and topics such as Selectivity, which overlap with Metal.

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

From cloud computing to cloud manufacturing

Xun Xu.
Robotics and Computer-integrated Manufacturing (2012)

1844 Citations

Intelligent Manufacturing in the Context of Industry 4.0: A Review

Ray Y. Zhong;Xun Xu;Eberhard Klotz;Stephen T. Newman.
(2017)

1714 Citations

Sulfur-graphene composite for rechargeable lithium batteries

Jia-Zhao Wang;Lin Lu;Mohammad Choucair;John A. Stride;John A. Stride.
Journal of Power Sources (2011)

426 Citations

Computer-aided process planning-A critical review of recent developments and future trends

Xun Xu;Lihui Wang;Stephen T. Newman.
(2011)

387 Citations

Making CNC machine tools more open, interoperable and intelligent: a review of the technologies

X. W. Xu;S. T. Newman.
(2006)

371 Citations

Striving for a total integration of CAD, CAPP, CAM and CNC

X.W Xu;Q He.
Robotics and Computer-integrated Manufacturing (2004)

337 Citations

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai Zheng;Honghui wang;Zhiqian Sang;Runyang Zhong.
Frontiers in Mechanical Engineering (2018)

327 Citations

An interoperable solution for Cloud manufacturing

Xi Vincent Wang;Xun W. Xu.
Robotics and Computer-integrated Manufacturing (2013)

322 Citations

STEP-compliant NC research: the search for intelligent CAD/CAPP/CAM/CNC integration

Xun W. Xu;H Wang;Jian Mao;S T. Newman.
(2005)

275 Citations

Industry 4.0 and Cloud Manufacturing: A Comparative Analysis

Yongkui Liu;Xun Xu.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2017)

268 Citations

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