World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
10787
World Ranking
7166
National Ranking
1947

Samuel H. Huang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Samuel H. Huang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 112 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Samuel H. Huang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Samuel H. Huang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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