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Sheng Chen
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Computer Science
UK
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 86 353 344 13 12 689 39803
Computer Science 87 705 682 38 38 732 41320

Sheng Chen publications per year

The chart shows the history of publications by Sheng Chen between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sheng Chen published across 41 years, from 1986 to 2026, averaging 25.3 papers a year. Output peaked at 67 publications in 2023. 56 of the 1,038 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 67. Peak 67 publications in 2023. 1986: 4 publications 1987: 0 publications 1988: 3 publications 1989: 11 publications 1990: 10 publications 1991: 7 publications 1992: 11 publications 1993: 8 publications 1994: 7 publications 1995: 10 publications 1996: 6 publications 1997: 4 publications 1998: 9 publications 1999: 15 publications 2000: 15 publications 2001: 18 publications 2002: 18 publications 2003: 14 publications 2004: 29 publications 2005: 24 publications 2006: 30 publications 2007: 27 publications 2008: 60 publications 2009: 38 publications 2010: 46 publications 2011: 44 publications 2012: 28 publications 2013: 37 publications 2014: 31 publications 2015: 28 publications 2016: 27 publications 2017: 33 publications 2018: 36 publications 2019: 35 publications 2020: 36 publications 2021: 33 publications 2022: 57 publications 2023: 67 publications 2024: 66 publications 2025: 55 publications 2026: 1 publication
1986 2026

1,038 publications in total across all disciplines

View publications per year as a table
Sheng Chen: publications per year, 1986 to 2026
Year Publications
1986 4
1987 0
1988 3
1989 11
1990 10
1991 7
1992 11
1993 8
1994 7
1995 10
1996 6
1997 4
1998 9
1999 15
2000 15
2001 18
2002 18
2003 14
2004 29
2005 24
2006 30
2007 27
2008 60
2009 38
2010 46
2011 44
2012 28
2013 37
2014 31
2015 28
2016 27
2017 33
2018 36
2019 35
2020 36
2021 33
2022 57
2023 67
2024 66
2025 55
2026 1
Total 1,038
Download as CSV

Sheng Chen 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 Sheng Chen sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 674–693 publications, is where this scientist sits. 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
34–53 publications 1,065+

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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44 689
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Sheng Chen 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 Sheng Chen sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 86 D-Index, is where this scientist sits. 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: 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19 86
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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
Steven P. Balk
Steven P. Balk Beth Israel Deaconess Medical Center
Shinya Sugiura
Shinya Sugiura University of Tokyo
Stephen A. Billings
Stephen A. Billings University of Sheffield
Jian Chu
Jian Chu Nanyang Technological University

External Links

Personal website of Sheng Chen Google Scholar page

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Best Scientists Citing Sheng Chen

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 206

Stephen A. Billings

Stephen A. Billings

University of Sheffield

Publications: 202

Kang Li

Kang Li

University of Leeds

Publications: 89

Hua-Liang Wei

Hua-Liang Wei

University of Sheffield

Publications: 83

Luis A. Aguirre

Luis A. Aguirre

Universidade Federal de Minas Gerais

Publications: 65

Shinya Sugiura

Shinya Sugiura

University of Tokyo

Publications: 57

Zhaocheng Wang

Zhaocheng Wang

Tsinghua University

Publications: 56

George W. Irwin

George W. Irwin

Queen's University Belfast

Publications: 50

Yong Li

Yong Li

Tsinghua University

Publications: 46

Yue Xiao

Yue Xiao

University of Electronic Science and Technology of China

Publications: 43

Linglong Dai

Linglong Dai

Tsinghua University

Publications: 40

Zi-Qiang Lang

Zi-Qiang Lang

University of Sheffield

Publications: 34

Soon Xin Ng

Soon Xin Ng

University of Southampton

Publications: 34

Er-Wei Bai

Er-Wei Bai

University of Iowa

Publications: 34

Meng Joo Er

Meng Joo Er

Dalian Maritime University

Publications: 33

Bernard Mulgrew

Bernard Mulgrew

University of Edinburgh

Publications: 32

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