World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
4861
World Ranking
8758
National Ranking
1482

Dingwei Wang 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 Dingwei Wang 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: 192 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Dingwei Wang 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 Dingwei Wang 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Dingwei Wang is affiliated with Northeastern University in China and has contributed to the field of engineering with a focus on various subfields including Control and Systems Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Safety, Risk, Reliability and Quality, and Organic Chemistry.

Their research covers multiple specialized topics such as Power System Reliability and Maintenance, Optimal Power Flow Distribution, Nanomaterials for catalytic reactions, Supercapacitor Materials and Fabrication, Iterative Learning Control Systems, Power Systems Fault Detection, and Energy Load and Power Forecasting.

Dingwei Wang has published research papers in notable academic venues, including:

  • Co-embedded N-doped hierarchical porous biocarbons: Facile synthesis and used as highly efficient catalysts for levulinic acid hydrogenation, 2022, Fuel
  • MOFs carbonization: In-situ encapsulation of Co-species into N-doped carbons as highly efficient catalysts for nitrobenzene hydrogenation, 2021, Diamond and Related Materials

Frequent publication venues also include arXiv (Cornell University), IEEE Transactions on Smart Grid, Advanced Engineering Informatics, and Lubricants, with multiple contributions especially in engineering domains.

Frequent co-authors collaborating with Dingwei Wang include:

  • Zhaoyu Wang
  • Chunyue Song
  • Zuhua Xu
  • Jun Zhao
  • Jun Wei

This collaboration pattern highlights ongoing joint research efforts within related scientific topics.

Among the research outputs in recent years with significant citations are:

  • Co-embedded N-doped hierarchical porous biocarbons: Facile synthesis and used as highly efficient catalysts for levulinic acid hydrogenation, 2022, Fuel
  • Research on Contact and Wear Characteristics of the Planetary Roller Screw Mechanism with Screw Misalignments, 2022, Lubricants
  • Voltage Calculations in Secondary Distribution Networks via Physics-Inspired Neural Network Using Smart Meter Data, 2024, IEEE Transactions on Smart Grid
  • MOFs carbonization: In-situ encapsulation of Co-species into N-doped carbons as highly efficient catalysts for nitrobenzene hydrogenation, 2021, Diamond and Related Materials
  • Hierarchical fault propagation path recognition method based on knowledge-driven graph attention autoencoder with bilayer pooling for large-scale industrial system, 2024, Advanced Engineering Informatics

Best Publications

  • Resilience and Friability of Transportation Networks: Evaluation, Analysis and Optimization

    W H Ip;Dingwei Wang

  • Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise

    W. H. Ip;Min Huang;K. L. Yung;Dingwei Wang

  • Path selection model and algorithm for emergency logistics management

    Yuan Yuan;Dingwei Wang

  • Genetic algorithms for solving shortest path problems

    M. Gen;Runwei Cheng;Dingwei Wang

  • A new approach to quality function deployment planning with financial consideration

    Jiafu Tang;Richard Y. K. Fung;Baodong Xu;Dingwei Wang

  • An application of swarm optimization to nonlinear programming

    Ying Dong;Jiafu Tang;Baodong Xu;Dingwei Wang

  • A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems

    Hongfeng Wang;Dingwei Wang;Shengxiang Yang

  • Product design resources optimization using a non-linear fuzzy quality function deployment model

    R. Y. K. Fung;J. Tang;Y Tu;D. Wang

  • Particle Swarm Optimization With Composite Particles in Dynamic Environments

    Lili Liu;Shengxiang Yang;Dingwei Wang

  • A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment

    Dingwei Wang;K.L. Yung;W.H. Ip

  • A memetic particle swarm optimization algorithm for multimodal optimization problems

    Hongfeng Wang;Na Wang;Dingwei Wang

  • Multiproduct aggregate production planning with fuzzy demands and fuzzy capacities

    R.Y.K. Fung;Jiafu Tang;Dingwei Wang

  • A branch and bound algorithm for sub-contractor selection in agile manufacturing environment

    W.H. Ip;K.L. Yung;Dingwei Wang

  • Fuzzy formulation for multi-product aggregate production planning

    Jiafu Tang;Dingwei Wang;Richard Y. K. Fung

  • A new adaptive neural network and heuristics hybrid approach for job-shop scheduling

    Shengxiang Yang;Dingwei Wang

  • Evaluation and Analysis of Logistic Network Resilience With Application to Aircraft Servicing

    Dingwei Wang;W.H. Ip

  • A credibility-based fuzzy location model with Hurwicz criteria for the design of distribution systems in B2C e-commerce

    H. C. W. Lau;Zhong-Zhong Jiang;W. H. Ip;Dingwei Wang

  • Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling

    S. Yang;Dingwei Wang

  • Triggered Memory-Based Swarm Optimization in Dynamic Environments

    Hongfeng Wang;Dingwei Wang;Shengxiang Yang

  • Extension of a hybrid genetic algorithm for nonlinear programming problems with equality and inequality constraints

    Richard Y. K. Fung;Jiafu Tang;Dingwei Wang

  • A genetics-based approach for aggregated production planning in a fuzzy environment

    Dingwei Wang;Shu-Cherng Fang

Frequent Co-Authors

W. H. Ip
W. H. Ip Hong Kong Polytechnic University
Jiafu Tang
Jiafu Tang Dongbei University of Finance and Economics
Shengxiang Yang
Shengxiang Yang De Montfort University
Richard Y. K. Fung
Richard Y. K. Fung City University of Hong Kong
Shu-Cherng Fang
Shu-Cherng Fang North Carolina State University
Tianyou Chai
Tianyou Chai Northeastern University
Graham Kendall
Graham Kendall MILA University
Zhi-Ping Fan
Zhi-Ping Fan Northeastern University
Henry C. W. Lau
Henry C. W. Lau Western Sydney University

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