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Dingwei Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 36 8758 8442 1482 1475 192 4861

Dingwei Wang publications per year

The chart shows the history of publications by Dingwei Wang between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dingwei Wang published across 41 years, from 1985 to 2025, averaging 5.7 papers a year. Output peaked at 32 publications in 2008. 3 of the 234 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2008. 1985: 1 publication 1986: 2 publications 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 1 publication 1991: 1 publication 1992: 2 publications 1993: 1 publication 1994: 0 publications 1995: 1 publication 1996: 3 publications 1997: 5 publications 1998: 12 publications 1999: 8 publications 2000: 4 publications 2001: 4 publications 2002: 8 publications 2003: 4 publications 2004: 7 publications 2005: 14 publications 2006: 11 publications 2007: 15 publications 2008: 32 publications 2009: 22 publications 2010: 17 publications 2011: 14 publications 2012: 13 publications 2013: 5 publications 2014: 7 publications 2015: 3 publications 2016: 4 publications 2017: 2 publications 2018: 1 publication 2019: 3 publications 2020: 1 publication 2021: 1 publication 2022: 1 publication 2023: 0 publications 2024: 1 publication 2025: 2 publications
1985 2025

234 publications in total across all disciplines

View publications per year as a table
Dingwei Wang: publications per year, 1985 to 2025
Year Publications
1985 1
1986 2
1987 0
1988 0
1989 1
1990 1
1991 1
1992 2
1993 1
1994 0
1995 1
1996 3
1997 5
1998 12
1999 8
2000 4
2001 4
2002 8
2003 4
2004 7
2005 14
2006 11
2007 15
2008 32
2009 22
2010 17
2011 14
2012 13
2013 5
2014 7
2015 3
2016 4
2017 2
2018 1
2019 3
2020 1
2021 1
2022 1
2023 0
2024 1
2025 2
Total 234
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 188–197 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378 192
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 36 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311 36
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

External Links

Google Scholar page

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Best Scientists Citing Dingwei Wang

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Publications: 19

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Publications: 18

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Guohe Huang

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Publications: 13

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