World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
60
Citations
15097
World Ranking
1615
National Ranking
265

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
Gang Feng
Gang Feng City University of Hong Kong
Jie Huang
Jie Huang Chinese University of Hong Kong
Yang Shi
Yang Shi University of Victoria
Weidong Zhang
Weidong Zhang Shanghai Jiao Tong University
Yong Zhang
Yong Zhang University of Science and Technology Beijing
Yat Li
Yat Li University of California, Santa Cruz

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