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 Sheng Chen sits on this spectrum.
This scientist: 689 publications — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
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 Sheng Chen sits on this spectrum.
This scientist: 86 D-Index — 95th percentile
95% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
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:
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:
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.
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.
S. Chen;C.F.N. Cowan;P.M. Grant
S. Chen;S. A. Billings;W. Luo
S. Chen;S. A. Billings;Peter Grant
S. Chen;S. A. Billings
Linglong Dai;Bichai Wang;Zhiguo Ding;Zhaocheng Wang
S. Chen;B. Mulgrew;P.M. Grant
S. Chen;S. A. Billings
Xueshi Hou;Yong Li;Min Chen;Di Wu
S. A. Billings;S. Chen;M. J. Korenberg
Zhen Gao;Linglong Dai;Zhaocheng Wang;Sheng Chen
S. Chen;S. A. Billings;Peter Grant
S. Chen;S. A. Billings;C. F. N. Cowan;Peter Grant
S. Chen;G. J. Gibson;C. F. N. Cowan;P. M. Grant
S. A. Billings;H. B. Jamaluddin;S. Chen
Tianqi Mao;Qi Wang;Zhaocheng Wang;Sheng Chen
S. Chen;E. S. Chng;K. Alkadhimi
Tianqi Mao;Zhaocheng Wang;Qi Wang;Sheng Chen
S. Chen;Y. Wu;B.L. Luk
Sheng Chen;Xia Hong;C.J. Harris;P.M. Sharkey
S Sugiura;S Chen;L Hanzo
S. A. Billings;M. J. Korenberg;S. Chen
S. Chen;B. Mulgrew;S. McLaughlin
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