World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
10787
World Ranking
7163
National Ranking
1946

Overview

Samuel H. Huang is affiliated with the University of Cincinnati in the United States. Their research spans multiple fields including Computer Science and Materials Science, with a significant focus on both theoretical and applied areas.

Their work encompasses a range of subfields, notably Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Materials Chemistry, and Molecular Biology.

Huang's main topics of research have included:

  • Formal Methods in Verification
  • Advanced Database Systems and Queries
  • Logic, Reasoning, and Knowledge
  • Gene expression and cancer classification
  • Machine Learning and Data Classification
  • Face and Expression Recognition
  • Blockchain Technology Applications and Security

Regarding academic publications, Huang has contributed to several journals and conferences, frequently publishing in venues such as the International Journal of Data Science, Pervasive and Mobile Computing, Journal of Logical and Algebraic Methods in Programming, International Journal on Software Tools for Technology Transfer, and Chemical Engineering Journal.

Some of their recent papers include:

  • "Consensus-oriented cloud manufacturing based on blockchain technology: An exploratory study" (2020) in Pervasive and Mobile Computing
  • "A tableau construction for finite linear-time temporal logic" (2021) in Journal of Logical and Algebraic Methods in Programming
  • "Temporal-logic query checking over finite data streams" (2022) in International Journal on Software Tools for Technology Transfer
  • "Constructing phase interface in membranes of ultralong layered VxOy nanobelts for exceptional EMI shielding, thermal management, waterproofing, and strain sensing applications" (2025) in Chemical Engineering Journal
  • "Reducing feature selection bias using a model independent performance measure" (2020) in International Journal of Data Science

Collaboratively, Huang has frequently worked with fellow researchers including Rance Cleaveland, Kang Fu, Ziyi Wu, Jiazheng Diao, and Sirun Yu. The collaboration counts highlight repeated joint publications, demonstrating a pattern of ongoing research partnerships.

Best Publications

  • Additive manufacturing and its societal impact: a literature review

    Samuel H. Huang;Samuel H. Huang;Peng Liu;Peng Liu;Abhiram Mokasdar;Liang Hou

  • Product-driven supply chain selection using integrated multi-criteria decision-making methodology

    Ge Wang;Samuel H. Huang;John P. Dismukes

  • Design for manufacture and design for `X`: concepts, applications, and perspectives

    Tsai C. Kuo;Samuel H. Huang;Hong C. Zhang

  • Designing supply chains: Towards theory development

    Mark A. Vonderembse;Mohit Uppal;Samuel H. Huang;John P. Dismukes

  • Comprehensive and configurable metrics for supplier selection

    Samuel H. Huang;Harshal Keskar

  • Environmentally conscious design and manufacturing: A state-of-the-art survey

    Hong C Zhang;Tsai C Kuo;Huitian Lu;Samuel H Huang

  • System health monitoring and prognostics — a review of current paradigms and practices

    Ranganath Kothamasu;Samuel H. Huang;William H. VerDuin

  • Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model

    Samuel H. Huang;Sunil K. Sheoran;Harshal Keskar

  • Simulation games in engineering education: A state-of-the-art review

    Amit A. Deshpande;Samuel H. Huang

  • The impact of additive manufacturing in the aircraft spare parts supply chain: supply chain operation reference (scor) model based analysis

    Peng Liu;Samuel H. Huang;Abhiram Mokasdar;Heng Zhou

  • Applications of neural networks in manufacturing: a state-of-the-art survey

    H.-C. Zhang;S. H. Huang

  • A product driven approach to manufacturing supply chain selection

    Samuel H. Huang;Mohit Uppal;J. Shi

  • Manufacturing productivity improvement using effectiveness metrics and simulation analysis

    Samuel H. Huang;John P. Dismukes;J. Shi;Qi Su

  • Artificial neural networks in manufacturing: concepts, applications, and perspectives

    S.H. Huang;Hong-Chao Zhang

  • Overall throughput effectiveness (OTE) metric for factory-level performance monitoring and bottleneck detection

    K. M. N. Muthiah;S. H. Huang

  • Barrier analysis for product service system using interpretive structural model

    Tsai Chi Kuo;Hsin-Yi Ma;Samuel H. Huang;Allen H. Hu

  • Hierarchical methodology for productivity measurement and improvement of productions systems

    John P. Dismukes;Qi Su;Samuel H. Huang;Mousalam A. Razzak

  • Advanced Computer-Aided Fixture Design

    Yiming Rong;Samuel Huang

  • Manufacturing system modeling for productivity improvement

    Samuel H. Huang;John P. Dismukes;J. Shi;Qi Su

  • Disassembly analysis for electromechanical products: A graph-based heuristic approach

    Tsai C. Kuo;Hong C. Zhang;Samuel H. Huang

Frequent Co-Authors

Hong-Chao Zhang
Hong-Chao Zhang Texas Tech University
Yiming Rong
Yiming Rong Southern University of Science and Technology
Guiyong Zhang
Guiyong Zhang Dalian University of Technology
Mica R. Endsley
Mica R. Endsley SA Technologies (United States)
Michael Wagner
Michael Wagner TU Dresden
Mark A. Vonderembse
Mark A. Vonderembse University of Toledo

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