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Computer Science
China
2026
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Electronics and Electrical Engineering
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 116 78 77 9 9 754 56982
Computer Science 116 176 171 23 21 766 57089

Ying-Chang Liang publications per year

The chart shows the history of publications by Ying-Chang Liang between 1994 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ying-Chang Liang published across 33 years, from 1994 to 2026, averaging 28.4 papers a year. Output peaked at 84 publications in 2008. 64 of the 936 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1994 to 2026. Vertical axis: number of publications, 0 to 84. Peak 84 publications in 2008. 1994: 1 publication 1995: 4 publications 1996: 0 publications 1997: 6 publications 1998: 3 publications 1999: 1 publication 2000: 10 publications 2001: 12 publications 2002: 10 publications 2003: 12 publications 2004: 8 publications 2005: 21 publications 2006: 46 publications 2007: 42 publications 2008: 84 publications 2009: 51 publications 2010: 40 publications 2011: 28 publications 2012: 16 publications 2013: 16 publications 2014: 19 publications 2015: 10 publications 2016: 26 publications 2017: 24 publications 2018: 51 publications 2019: 78 publications 2020: 49 publications 2021: 65 publications 2022: 29 publications 2023: 62 publications 2024: 48 publications 2025: 63 publications 2026: 1 publication
1994 2026

936 publications in total across all disciplines

View publications per year as a table
Ying-Chang Liang: publications per year, 1994 to 2026
Year Publications
1994 1
1995 4
1996 0
1997 6
1998 3
1999 1
2000 10
2001 12
2002 10
2003 12
2004 8
2005 21
2006 46
2007 42
2008 84
2009 51
2010 40
2011 28
2012 16
2013 16
2014 19
2015 10
2016 26
2017 24
2018 51
2019 78
2020 49
2021 65
2022 29
2023 62
2024 48
2025 63
2026 1
Total 936
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Ying-Chang Liang 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 Ying-Chang Liang 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, 754–773 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: 754 publications — 95th percentile

95% 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
694–713 37
714–733 28
734–753 26
754–773 26 754
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
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Ying-Chang Liang 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 Ying-Chang Liang 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, 111+ 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: 116 D-Index — 99th percentile

99% 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
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+ 96 116
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Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2019 - Member of Academia Europaea

Overview

Ying-Chang Liang is affiliated with the University of Electronic Science and Technology of China. Their research primarily spans engineering and computer science, with extensive work in electrical and electronic engineering, aerospace engineering, computer networks and communications, artificial intelligence, and information systems.

The scientist's research covers several main topics including advanced wireless communication technologies, energy harvesting in wireless networks, advanced MIMO systems optimization, antenna design and analysis, satellite communication systems, UAV applications and optimization, and indoor and outdoor localization technologies.

Ying-Chang Liang has contributed to various frequent publication venues such as arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, and IEEE Transactions on Communications.

Recent papers authored or co-authored by Ying-Chang Liang include:

  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020, IEEE Communications Surveys & Tutorials)
  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts (2020, Science China Information Sciences)
  • Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks (2020, IEEE Transactions on Wireless Communications)
  • Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed (2020, IEEE Wireless Communications)
  • Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming (2020, IEEE Wireless Communications Letters)

Frequent co-authors of Ying-Chang Liang include Dusit Niyato, Yiyang Pei, Ruizhe Long, Qianqian Zhang, and Hu Zhou.

The scientist was recognized as a Member of Academia Europaea in 2019.

Best Publications

  • Sensing-Throughput Tradeoff for Cognitive Radio Networks

    Ying-Chang Liang;Yonghong Zeng;E.C.Y. Peh;Anh Tuan Hoang

  • Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

    Nguyen Cong Luong;Dinh Thai Hoang;Shimin Gong;Dusit Niyato

  • Eigenvalue-based spectrum sensing algorithms for cognitive radio

    Yonghong Zeng;Ying-chang Liang

  • Cognitive radio networking and communications: an overview

    Ying-Chang Liang;Kwang-Cheng Chen;Geoffrey Ye Li;P. Mahonen

  • Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks

    Rui Zhang;Ying-Chang Liang

  • A review on spectrum sensing for cognitive radio: challenges and solutions

    Yonghong Zeng;Ying-Chang Liang;Anh Tuan Hoang;Rui Zhang

  • Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances

    Yonghong Zeng;Ying-Chang Liang

  • Towards Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

    Shimin Gong;Xiao Lu;Dinh Thai Hoang;Dusit Niyato

  • Optimization for Cooperative Sensing in Cognitive Radio Networks

    E. Peh;Ying-Chang Liang

  • Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity

    Xin Kang;Ying-Chang Liang;A. Nallanathan;H.K. Garg

  • Optimal beamforming for two-way multi-antenna relay channel with analogue network coding

    Rui Zhang;Ying-Chang Liang;Chin Choy Chai;Shuguang Cui

  • Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View

    E.C.Y. Peh;Ying-Chang Liang;Yong Liang Guan;Yonghong Zeng

  • Active Reconfigurable Intelligent Surface-Aided Wireless Communications

    Ruizhe Long;Ying-Chang Liang;Yiyang Pei;Erik G. Larsson

  • Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security

    Unknown

  • Spectrum Survey in Singapore: Occupancy Measurements and Analyses

    M.H. Islam;C.L. Koh;S.W. Oh;Xianming Qing

  • Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks

    Lan Zhang;Ying-Chang Liang;Yan Xin

  • Maximum-Minimum Eigenvalue Detection for Cognitive Radio

    Yonghong Zeng;Ying-Chang Liang

  • Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach

    Rui Zhang;Teng Lim;Ying-Chang Liang;Yonghong Zeng

Frequent Co-Authors

Rui Zhang
Rui Zhang National University of Singapore
Yonghong Zeng
Yonghong Zeng Institute for Infocomm Research
Dusit Niyato
Dusit Niyato Nanyang Technological University
Xin Kang
Xin Kang University of Electronic Science and Technology of China
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Sumei Sun
Sumei Sun Institute for Infocomm Research
Feifei Gao
Feifei Gao Tsinghua University
Dong In Kim
Dong In Kim Sungkyunkwan University
Xiaojun Yuan
Xiaojun Yuan University of Electronic Science and Technology of China
Kwok Hung Li
Kwok Hung Li Nanyang Technological University

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