D-Index & Metrics Best Publications
Business and Management
China
2023

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
Business and Management D-index 69 Citations 17,465 425 World Ranking 180 National Ranking 10
Engineering and Technology D-index 69 Citations 17,371 429 World Ranking 528 National Ranking 62

Research.com Recognitions

Awards & Achievements

2023 - Research.com Business and Management in China Leader Award

2022 - Research.com Business and Management in China Leader Award

2010 - Fellow of the American Society of Mechanical Engineers

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Operating system
  • Marketing

Radio-frequency identification, Supply chain management, Supply chain, Process management and Systems engineering are his primary areas of study. His work deals with themes such as Wireless, Manufacturing engineering, Traceability, Interoperability and Scheduling, which intersect with Radio-frequency identification. Marketing covers George Q. Huang research in Supply chain management.

His Supply chain research is multidisciplinary, relying on both Product marketing, Product, Operations management and Operations research. His study in Process management is interdisciplinary in nature, drawing from both Quality, Layer, Information sharing and Process. His research integrates issues of Web application, Information and Communications Technology and Web modeling in his study of Systems engineering.

His most cited work include:

  • The impacts of sharing production information on supply chain dynamics: A review of the literature (404 citations)
  • RFID-enabled real-time manufacturing execution system for mass-customization production (318 citations)
  • Tourism supply chain management: A new research agenda (313 citations)

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

George Q. Huang mainly focuses on Supply chain, Production, Operations research, Manufacturing engineering and Supply chain management. He has researched Supply chain in several fields, including Microeconomics, Industrial organization, Product and Operations management. The various areas that George Q. Huang examines in his Production study include Synchronization, Control, Cloud computing and Process.

The Operations research study combines topics in areas such as Scheduling and Profit. His work on Radio-frequency identification expands to the thematically related Manufacturing engineering.

He most often published in these fields:

  • Supply chain (19.96%)
  • Production (14.81%)
  • Operations research (12.02%)

What were the highlights of his more recent work (between 2018-2021)?

  • Production (14.81%)
  • Cloud computing (9.66%)
  • Manufacturing engineering (12.45%)

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

His primary areas of study are Production, Cloud computing, Manufacturing engineering, Process management and Synchronization. His work carried out in the field of Production brings together such families of science as Industrial engineering, Industry 4.0, Control, Service system and Edge computing. The concepts of his Cloud computing study are interwoven with issues in Distributed computing, Physical layer, Resource, The Internet and Software.

His Manufacturing engineering study combines topics in areas such as Product-service system, Intelligent manufacturing system and Product. While the research belongs to areas of Process management, George Q. Huang spends his time largely on the problem of Interoperability, intersecting his research to questions surrounding Supply chain management. His Supply chain management study is related to the wider topic of Supply chain.

Between 2018 and 2021, his most popular works were:

  • Industrial Wearable System: the Human-centric Empowering Technology in Industry 4.0 (44 citations)
  • A cooperative approach to service booking and scheduling in cloud manufacturing (33 citations)
  • Horizontal collaborative transport: survey of solutions and practical implementation issues (32 citations)

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

  • Operating system
  • The Internet
  • Marketing

His main research concerns Production, Control, E-commerce, Process and Manufacturing engineering. The study incorporates disciplines such as Automation, Tracking system, Manufacturing and Supervised learning in addition to Production. His E-commerce research is multidisciplinary, incorporating elements of Service provider, Service, Microeconomics, Game theory and Workflow.

As a part of the same scientific family, George Q. Huang mostly works in the field of Workflow, focusing on Financial services and, on occasion, Supply chain. His Process study integrates concerns from other disciplines, such as Product lifecycle, Cloud computing and Industrial engineering. The various areas that George Q. Huang examines in his Manufacturing engineering study include Synchronization, Process control and Control theory.

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

Tourism supply chain management: A new research agenda

Xinyan Zhang;Haiyan Song;George Q. Huang.
Tourism Management (2009)

744 Citations

The impacts of sharing production information on supply chain dynamics: A review of the literature

George Q. Huang;Jason S. K. Lau;K. L. Mak.
(2003)

658 Citations

RFID-enabled real-time manufacturing execution system for mass-customization production

Ray Y. Zhong;Q. Y. Dai;T. Qu;G. J. Hu.
(2013)

479 Citations

Big Data for supply chain management in the service and manufacturing sectors

Ray Y. Zhong;Stephen T. Newman;George Q. Huang;Shulin Lan.
(2016)

441 Citations

A big data approach for logistics trajectory discovery from RFID-enabled production data

Ray Y. Zhong;Ray Y. Zhong;George Q. Huang;Shulin Lan;Q.Y. Dai.
(2015)

432 Citations

Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors

Ray Y. Zhong;Chen Xu;Chao Chen;George Q. Huang.
(2017)

357 Citations

Hybrid flow shop scheduling considering machine electricity consumption cost

Hao Luo;Bing Du;George Q. Huang;Huaping Chen.
(2013)

356 Citations

RFID-based wireless manufacturing for real-time management of job shop WIP inventories.

George Q. Huang;YF Zhang;PY Jiang.
(2008)

319 Citations

Towards integrated optimal configuration of platform products, manufacturing processes, and supply chains

George Q. Huang;X.Y. Zhang;L. Liang.
(2005)

312 Citations

IoT-based real-time production logistics synchronization system under smart cloud manufacturing

T. Qu;S. P. Lei;Z. Z. Wang;D. X. Nie;D. X. Nie.
(2016)

309 Citations

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