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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
87
Citations
41320
World Ranking
705
National Ranking
38

Electronics and Electrical Engineering

D-Index
86
Citations
39803
World Ranking
353
National Ranking
13

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Sheng Chen is affiliated with the University of Southampton in the United Kingdom. Their research spans multiple fields within engineering and computer science, with particular emphasis on electrical and electronic engineering, aerospace engineering, artificial intelligence, computer vision and pattern recognition, and computer networks and communications.

The scientist's recent research output includes papers published between 2020 and 2022, addressing topics in wireless communication systems, massive MIMO technologies, and renewable energy systems. Notable recent publications include:

  • An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems (2020, Mechanical Systems and Signal Processing)
  • Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective (2022, IEEE Transactions on Wireless Communications)
  • Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication (2022, IEEE Wireless Communications)
  • Mobility Support for Millimeter Wave Communications: Opportunities and Challenges (2022, IEEE Communications Surveys & Tutorials)
  • Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems (2021, IEEE Transactions on Communications)

Frequent coauthors collaborating with Sheng Chen include Lajos Hanzo, Zhaocheng Wang, Junyu Dong, Muhammad Waqas, and Jiankang Zhang. The relationships indicate sustained collaborative research efforts in related technological areas.

Sheng Chen has published extensively in various scientific venues, with a significant number of publications in:

  • arXiv (Cornell University) - 42 publications
  • IEEE Transactions on Vehicular Technology - 16 publications
  • IEEE Transactions on Communications - 10 publications
  • IEEE Internet of Things Journal - 8 publications
  • SSRN Electronic Journal - 8 publications

The primary research topics addressed in their work focus on advanced MIMO systems optimization, millimeter-wave propagation and modeling, antenna design and optimization, advanced wireless communication technologies, satellite communication systems, UAV applications and optimization, and microwave engineering and waveguides.

  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling
  • Antenna Design and Optimization
  • Advanced Wireless Communication Technologies
  • Satellite Communication Systems
  • UAV Applications and Optimization
  • Microwave Engineering and Waveguides

The integration of artificial intelligence techniques such as deep learning is evident in their work, particularly in improving communication system performance and beamforming calibration.

Sheng Chen's research contributes to the development and optimization of communication technologies relevant for emerging network infrastructures, including 6G and millimeter-wave systems. Their contributions combine theoretical modeling, practical system design, and advanced signal processing methods within the broader scope of engineering and computer science research.

Best Publications

  • Orthogonal least squares learning algorithm for radial basis function networks

    S. Chen;C.F.N. Cowan;P.M. Grant

  • Orthogonal least squares methods and their application to non-linear system identification

    S. Chen;S. A. Billings;W. Luo

  • Non-linear system identification using neural networks

    S. Chen;S. A. Billings;Peter Grant

  • Representations of non-linear systems: the NARMAX model

    S. Chen;S. A. Billings

  • A Survey of Non-Orthogonal Multiple Access for 5G

    Linglong Dai;Bichai Wang;Zhiguo Ding;Zhaocheng Wang

  • A clustering technique for digital communications channel equalization using radial basis function networks

    S. Chen;B. Mulgrew;P.M. Grant

  • Neural Networks for Nonlinear Dynamic System Modelling and Identification

    S. Chen;S. A. Billings

  • Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

    Xueshi Hou;Yong Li;Min Chen;Di Wu

  • Identification of MIMO non-linear systems using a forward-regression orthogonal estimator

    S. A. Billings;S. Chen;M. J. Korenberg

  • Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

    Zhen Gao;Linglong Dai;Zhaocheng Wang;Sheng Chen

  • Recursive hybrid algorithm for non-linear system identification using radial basis function networks

    S. Chen;S. A. Billings;Peter Grant

  • Practical identification of NARMAX models using radial basis functions

    S. Chen;S. A. Billings;C. F. N. Cowan;Peter Grant

  • Adaptive equalization of finite non-linear channels using multilayer perceptions

    S. Chen;G. J. Gibson;C. F. N. Cowan;P. M. Grant

  • Properties of neural networks with applications to modelling non-linear dynamical systems

    S. A. Billings;H. B. Jamaluddin;S. Chen

  • Novel Index Modulation Techniques: A Survey

    Tianqi Mao;Qi Wang;Zhaocheng Wang;Sheng Chen

  • Regularized orthogonal least squares algorithm for constructing radial basis function networks

    S. Chen;E. S. Chng;K. Alkadhimi

  • Dual-Mode Index Modulation Aided OFDM

    Tianqi Mao;Zhaocheng Wang;Qi Wang;Sheng Chen

  • Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks

    S. Chen;Y. Wu;B.L. Luk

  • Sparse modeling using orthogonal forward regression with PRESS statistic and regularization

    Sheng Chen;Xia Hong;C.J. Harris;P.M. Sharkey

  • Coherent and Differential Space-Time Shift Keying: A Dispersion Matrix Approach

    S Sugiura;S Chen;L Hanzo

  • Identification of non-linear output-affine systems using an orthogonal least-squares algorithm

    S. A. Billings;M. J. Korenberg;S. Chen

  • Adaptive Bayesian equalizer with decision feedback

    S. Chen;B. Mulgrew;S. McLaughlin

Frequent Co-Authors

Lajos Hanzo
Lajos Hanzo University of Southampton
Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Yong Li
Yong Li Tsinghua University
Bernard Mulgrew
Bernard Mulgrew University of Edinburgh
Depeng Jin
Depeng Jin Tsinghua University
Peter Grant
Peter Grant University of Edinburgh
Shinya Sugiura
Shinya Sugiura University of Tokyo
Stephen A. Billings
Stephen A. Billings University of Sheffield
Jian Chu
Jian Chu Nanyang Technological University
Rong Zhang
Rong Zhang University of Southampton

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