World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
60
Citations
15097
World Ranking
1615
National Ranking
266

Dan Wang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Dan Wang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 339 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Dan Wang D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 60 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Dan Wang is affiliated with Dalian Maritime University in China, focusing on Engineering with a particular emphasis on Mechanics of Materials, Mechanical Engineering, Analytical Chemistry, and Archeology. Their multidisciplinary work integrates these fields, especially through the application of laser-induced spectroscopy and plasma technologies.

The scientific contributions of Dan Wang include research centered on laser-induced spectroscopy and plasma, which is reflected in four publications covering this topic. Additional areas of interest include Mineral Processing and Grinding, Analytical Chemistry Methods Development, and Cultural Heritage Materials Analysis.

Two recent papers authored by Dan Wang illustrate their research focus: "Accurate method based on data filtering for quantitative multi-element analysis of soils using CF-LIBS" published in 2024 in Plasma Science and Technology, and "Research on batch multielement rapid quantitative analysis based on the standard curve-assisted calibration-free laser-induced breakdown spectroscopy method", also published in 2024 in the same journal.

Collaborative work has been a significant aspect of their research career. Frequent co-authors include:

  • Weiwei HAN
  • Daowei Sun
  • Guoding ZHANG
  • Denghong Zhang
  • C. Z. Dong

Dan Wang's research outputs are primarily published in the journal Plasma Science and Technology, with two publications in this venue. Their research integrates quantitative multi-element analysis techniques, using methods such as calibration-free laser-induced breakdown spectroscopy (CF-LIBS), aimed at advancing analytical chemistry approaches.

Overall, Dan Wang's work encompasses methodological development in analytical chemistry with practical applications in soil analysis and batch multielement quantification. Their interdisciplinary approach bridges engineering principles with spectroscopic techniques to explore both material properties and cultural heritage substances.

Best Publications

  • Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form

    D. Wang;Jie Huang

  • DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems

    Tie-Shan Li;Dan Wang;Gang Feng;Shao-Cheng Tong

  • An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles

    Zhouhua Peng;Jun Wang;Dan Wang;Qing-Long Han

  • Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics

    Zhouhua Peng;Dan Wang;Zhiyong Chen;Xiaojing Hu

  • Brief Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form

    Dan Wang;Jie Huang

  • Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance

    Zhouhua Peng;Dan Wang;Tieshan Li;Min Han

  • Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation

    Zhouhua Peng;Jun Wang;Dan Wang

  • ESO-Based Line-of-Sight Guidance Law for Path Following of Underactuated Marine Surface Vehicles With Exact Sideslip Compensation

    Lu Liu;Dan Wang;Zhouhua Peng

  • Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback

    Zhouhua Peng;Jun Wang;Dan Wang

  • Distributed neural network control for adaptive synchronization of uncertain dynamical multiagent systems.

    Zhouhua Peng;Dan Wang;Hongwei Zhang;Gang Sun

  • Prescribed Performance Consensus of Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Directions

    Wei Wang;Dan Wang;Zhouhua Peng;Tieshan Li

  • Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions

    Tieshan Li;Zifu Li;Dan Wang;C. L. Philip Chen

  • Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems

    Yan-Jun Liu;Shao-Cheng Tong;Dan Wang;Tie-Shan Li

  • Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form

    Zhouhua Peng;Dan Wang;Jun Wang

  • Containment Maneuvering of Marine Surface Vehicles With Multiple Parameterized Paths via Spatial-Temporal Decoupling

    Zhouhua Peng;Jun Wang;Dan Wang

  • Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders

    Zhouhua Peng;Dan Wang;Yang Shi;Hao Wang

  • Neural network-based adaptive dynamic surface control of uncertain nonlinear pure-feedback systems

    Dan Wang

  • Observer-Based Finite-Time Control for Distributed Path Maneuvering of Underactuated Unmanned Surface Vehicles With Collision Avoidance and Connectivity Preservation

    Nan Gu;Dan Wang;Zhouhua Peng;Lu Liu

  • Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics

    Lu Liu;Dan Wang;Zhouhua Peng;C. L. Philip Chen

  • Disturbance observers and extended state observers for marine vehicles: A survey

    Unknown

  • Robust adaptive formation control of underactuated autonomous surface vehicles with uncertain dynamics

    Z. Peng;D. Wang;X. Hu

  • Adaptive unknown input observer approach for aircraft actuator fault detection and isolation

    Dan Wang;Kai-Yew Lum

Frequent Co-Authors

Zhouhua Peng
Zhouhua Peng Dalian Maritime University
Tieshan Li
Tieshan Li University of Electronic Science and Technology of China
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Ning Wang
Ning Wang Dalian Maritime University
Shaocheng Tong
Shaocheng Tong Liaoning University of Technology
Zhiyong Chen
Zhiyong Chen University of Newcastle Australia
Gang Feng
Gang Feng City University of Hong Kong
Yang Shi
Yang Shi University of Victoria
Jie Huang
Jie Huang Chinese University of Hong Kong
Min Han
Min Han Dalian University of Technology

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Related Online Degrees & Career Pathways

For those interested in studying Electronics and Electrical Engineering, exploring online colleges with flexible start dates can provide greater scheduling freedom. This flexibility is ideal for students balancing work, family, or other commitments while pursuing their degree.

In addition to degree programs, there are numerous short certificate programs that pay well online. These accelerated options can help individuals quickly gain specialized skills in areas like electronics troubleshooting or circuit design, enhancing employability in competitive markets.

Many careers in Electronics and Electrical Engineering suit a variety of personality types, including those who are more reserved. Considering introvert jobs that pay well can guide students toward roles like systems analysis or design engineering, where independent work and deep focus are valued.

Lastly, pairing technical expertise with leadership through programs such as an accelerated project management degree can open doors to management roles within engineering projects. This blend of skills supports career advancement in dynamic technological environments.

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