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Shuo 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 Shuo 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+

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

Shuo 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 Shuo 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+

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

Overview

Shuo Wang is affiliated with Beijing University of Posts and Telecommunications in China. Their research work spans multiple areas within computer science and engineering, with a particular focus on computer networks and communications.

The scientist has published extensively in main fields of study including:

  • Computer Science
  • Engineering

Within these broader fields, their research contributions can be categorized into subfields such as:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

Key topics of research addressed by Shuo Wang include:

  • Software-Defined Networks and 5G
  • IoT and Edge/Fog Computing
  • Network Time Synchronization Technologies
  • Cloud Computing and Resource Management
  • Caching and Content Delivery
  • Real-Time Systems Scheduling
  • Business Process Modeling and Analysis

Their recent publications demonstrate an emphasis on networking technologies and system design. Selected papers include:

  • "A Comprehensive Survey on Blockchain in Industrial Internet of Things: Motivations, Research Progresses, and Future Challenges" (2022), published in IEEE Communications Surveys & Tutorials
  • "A content distribution method of internet of vehicles based on edge cache and immune cloning strategy" (2022), published in Ad Hoc Networks
  • "Large Language Models for Networking: Applications, Enabling Techniques, and Challenges" (2024), published in IEEE Network
  • "Flexible Cyclic Queuing and Forwarding for Time-Sensitive Software-Defined Networks" (2022), published in IEEE Transactions on Network and Service Management
  • "AI-Generated Network Design: A Diffusion Model-Based Learning Approach" (2023), published in IEEE Network

Frequent co-authors collaborating with Shuo Wang include:

  • Tao Huang
  • Yudong Huang
  • Yunjie Liu
  • Xinyuan Zhang
  • Zehui Xiong

The scientist's work has been published frequently in respected venues such as:

  • arXiv (Cornell University)
  • IEEE Network
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Access

Best Publications

  • Common Mode Noise Reduction for Boost Converters Using General Balance Technique

    Shuo Wang;Pengju Kong;F.C. Lee

  • Investigation of Hybrid EMI Filters for Common-Mode EMI Suppression in a Motor Drive System

    Shuo Wang;Yoann Yorrick Maillet;Fei Wang;Dushan Boroyevich

  • Virtual Synchronous Control for Grid-Connected DFIG-Based Wind Turbines

    Shuo Wang;Jiabing Hu;Xiaoming Yuan

  • Common Mode EMI Noise Suppression for Bridgeless PFC Converters

    Pengju Kong;Shuo Wang;F.C. Lee

  • Load Balancing in Data Center Networks: A Survey

    Jiao Zhang;F. Richard Yu;Shuo Wang;Tao Huang

  • High-Density EMI Filter Design for DC-Fed Motor Drives

    Yoann Maillet;Rixin Lai;Shuo Wang;Fei Wang

  • Characterization, evaluation, and design of noise Separator for conducted EMI noise diagnosis

    Shuo Wang;F.C. Lee;W.G. Odendaal

  • Two-Capacitor Transformer Winding Capacitance Models for Common-Mode EMI Noise Analysis in Isolated DC–DC Converters

    Huan Zhang;Shuo Wang;Yiming Li;Qinghai Wang

  • A Study of Integration of Parasitic Cancellation Techniques for EMI Filter Design With Discrete Components

    Shuo Wang;F.C. Lee;J.D. van Wyk

  • Analysis of CM Volt-Second Influence on CM Inductor Saturation and Design for Input EMI Filters in Three-Phase DC-Fed Motor Drive Systems

    Fang Luo;Shuo Wang;Fei Wang;Dushan Boroyevich

  • A multi-level Taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management

    Shuo Wang;Gordon H. Huang

  • A Current-Reference-Based Selective Harmonic Current Mitigation PWM Technique to Improve the Performance of Cascaded H-Bridge Multilevel Active Rectifiers

    Amirhossein Moeini;Hui Zhao;Shuo Wang

  • An Integrated EMI Choke for Differential-Mode and Common-Mode Noise Suppression

    Rixin Lai;Y. Maillet;F. Wang;Shuo Wang

  • Improving the performance of boost PFC EMI filters

    Shuo Wang;F.C. Lee;W.G. Odendaal

  • A Real-Time Selective Harmonic Elimination Based on a Transient-Free Inner Closed-Loop Control for Cascaded Multilevel Inverters

    Hui Zhao;Tian Jin;Shuo Wang;Liang Sun

  • DM EMI Noise Prediction for Constant On-Time, Critical Mode Power Factor Correction Converters

    Zijian Wang;Shuo Wang;Pengju Kong;F. C. Lee

  • Analysis and suppression of conducted EMI emissions for front-end LLC resonant DC/DC converters

    Dianbo Fu;Pengju Kong;Shuo Wang;F.C. Lee

  • Reducing Common-Mode Noise in Two-Switch Forward Converter

    Pengju Kong;Shuo Wang;F. C. Lee;Zijian Wang

  • Common-Mode Noise Reduction for Power Factor Correction Circuit With Parasitic Capacitance Cancellation

    Shuo Wang;F.C. Lee

  • EMI suppression in voltage source converters by utilizing DC-link decoupling capacitors

    Qian Liu;Shuo Wang;C. Baisden;F. Wang

Frequent Co-Authors

Wenbo Wang
Wenbo Wang Beijing University of Posts and Telecommunications
F. Richard Yu
F. Richard Yu Carleton University

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