World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
15353
World Ranking
1719
National Ranking
86

Overview

Qi-Jun Zhang is affiliated with Carleton University in Canada and has a research focus primarily rooted in engineering, with a particular emphasis on electrical and electronic engineering.

Their work encompasses several subfields, including:

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Biomedical Engineering
  • Mechanical Engineering
  • Atomic and Molecular Physics, and Optics

The main topics covered in their publications include:

  • Microwave Engineering and Waveguides
  • Electromagnetic Simulation and Numerical Methods
  • Radio Frequency Integrated Circuit Design
  • Advanced Antenna and Metasurface Technologies
  • Electromagnetic Compatibility and Noise Suppression
  • Millimeter-Wave Propagation and Modeling
  • GaN-based semiconductor devices and materials

Frequent publication venues for the scientist include:

  • IEEE Transactions on Microwave Theory and Techniques
  • IEEE Microwave Magazine
  • IEEE Microwave and Wireless Technology Letters
  • IEEE Microwave and Wireless Components Letters
  • IEEE Journal of Microwaves

Their co-authors collaborating frequently on research projects are:

  • Feng Feng
  • Jianan Zhang
  • Jing Jin
  • Weicong Na
  • Wei Liu

Selected recent papers by Qi-Jun Zhang include:

  • Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art, 2022, IEEE Transactions on Microwave Theory and Techniques
  • ANNs for Fast Parameterized EM Modeling: The State of the Art in Machine Learning for Design Automation of Passive Microwave Structures, 2021, IEEE Microwave Magazine
  • Parallel Gradient-Based EM Optimization for Microwave Components Using Adjoint- Sensitivity-Based Neuro-Transfer Function Surrogate, 2020, IEEE Transactions on Microwave Theory and Techniques
  • A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components, 2020, IEEE Access
  • A Novel Training Approach for Parametric Modeling of Microwave Passive Components Using Padé via Lanczos and EM Sensitivities, 2020, IEEE Transactions on Microwave Theory and Techniques

Best Publications

  • Neural Networks for RF and Microwave Design (Book + Neuromodeler Disk)

    Q. J. Zhang;K. C. Gupta

  • Artificial neural networks for RF and microwave design - from theory to practice

    Qi-Jun Zhang;K.C. Gupta;V.K. Devabhaktuni

  • Neural Networks for RF and Microwave Design

    Q. J. Zhang;K. C. Gupta

  • Knowledge based neural models for microwave design

    Fang Wang;Q.J. Zhang

  • A robust algorithm for automatic development of neural network models for microwave applications

    V. Devabhaktuni;M.C.E. Yagoub;Qi-Jun Zhang

  • Neural-based dynamic modeling of nonlinear microwave circuits

    Jianjun Xu;M.C.E. Yagoub;Runtao Ding;Qi-Jun Zhang

  • A neural network modeling approach to circuit optimization and statistical design

    A.H. Zaabab;Qi-Jun Zhang;M. Nakhla

  • Neural Network Inverse Modeling and Applications to Microwave Filter Design

    H. Kabir;Ying Wang;Ming Yu;Qi-Jun Zhang

  • Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks, and space mapping

    V.K. Devabhaktuni;B. Chattaraj;M.C.E. Yagoub;Qi-Jun Zhang

  • A new macromodeling approach for nonlinear microwave circuits based on recurrent neural networks

    Yonghua Fang;M.C.E. Yagoub;Fang Wang;Qi-Jun Zhang

  • Neuromodeling of microwave circuits exploiting space-mapping technology

    J.W. Bandler;M.A. Ismail;J.E. Rayas-Sanchez;Qi-Jun Zhang

  • Smart Modeling of Microwave Devices

    Humayun Kabir;Lei Zhang;Ming Yu;Peter Aaen

  • Neuromodeling of microwave circuits exploiting space mapping technology

    J.W. Bandler;M.A. Ismail;Q.J. Zhang

  • Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Pole-Residue-Based Transfer Functions

    Feng Feng;Chao Zhang;Jianguo Ma;Qi-Jun Zhang

  • Deep Neural Network Technique for High-Dimensional Microwave Modeling and Applications to Parameter Extraction of Microwave Filters

    Jing Jin;Chao Zhang;Feng Feng;Weicong Na

  • Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art

    Unknown

  • Multivalued Neural Network Inverse Modeling and Applications to Microwave Filters

    Chao Zhang;Jing Jin;Weicong Na;Qi-Jun Zhang

  • Efficient analytical formulation and sensitivity analysis of neuro-space mapping for nonlinear microwave device modeling

    Lei Zhang;Jianjun Xu;M.C.E. Yagoub;Runtao Ding

  • Neural-network approaches to electromagnetic-based modeling of passive components and their applications to high-frequency and high-speed nonlinear circuit optimization

    Xiaolei Ding;V.K. Devabhaktuni;B. Chattaraj;M.C.E. Yagoub

  • Neural space-mapping optimization for EM-based design

    M.H. Bakr;J.W. Bandler;M.A. Ismail;J.E. Rayas-Sanchez

  • Neural Networks for Microwave Modeling: Model Development Issues and Nonlinear Modeling Techniques

    Vijaya Kumar Devabhaktuni;Mustapha C. E. Yagoub;Yonghua Fang;Jianjun Xu

Frequent Co-Authors

Michel Nakhla
Michel Nakhla Carleton University
John W. Bandler
John W. Bandler McMaster University
Ming Yu
Ming Yu Chinese University of Hong Kong
Geok Ing Ng
Geok Ing Ng Nanyang Technological University
Tom Dhaene
Tom Dhaene Ghent University
Natalia K. Nikolova
Natalia K. Nikolova McMaster University

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