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Ming Xiao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 52 2484 2380 33 32 350 13725
Computer Science 53 4747 4614 19 19 360 13957

Ming Xiao publications per year

The chart shows the history of publications by Ming Xiao between 2000 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ming Xiao published across 27 years, from 2000 to 2026, averaging 23.5 papers a year. Output peaked at 74 publications in 2025. 75 of the 634 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2000 to 2026. Vertical axis: number of publications, 0 to 74. Peak 74 publications in 2025. 2000: 3 publications 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 5 publications 2005: 10 publications 2006: 12 publications 2007: 5 publications 2008: 4 publications 2009: 6 publications 2010: 19 publications 2011: 23 publications 2012: 14 publications 2013: 26 publications 2014: 20 publications 2015: 20 publications 2016: 31 publications 2017: 39 publications 2018: 55 publications 2019: 47 publications 2020: 43 publications 2021: 36 publications 2022: 50 publications 2023: 39 publications 2024: 51 publications 2025: 74 publications 2026: 1 publication
2000 2026

634 publications in total across all disciplines

View publications per year as a table
Ming Xiao: publications per year, 2000 to 2026
Year Publications
2000 3
2001 0
2002 1
2003 0
2004 5
2005 10
2006 12
2007 5
2008 4
2009 6
2010 19
2011 23
2012 14
2013 26
2014 20
2015 20
2016 31
2017 39
2018 55
2019 47
2020 43
2021 36
2022 50
2023 39
2024 51
2025 74
2026 1
Total 634
Download as CSV

Ming Xiao 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 Ming Xiao 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, 334–353 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: 350 publications — 67th percentile

67% 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
334–353 250 350
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
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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Ming Xiao 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 Ming Xiao 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, 52 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: 52 D-Index — 64th percentile

64% 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 52
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
Download as CSV

Overview

Ming Xiao is affiliated with the Royal Institute of Technology in Sweden. Their research spans across engineering and computer science, with a substantial focus on electrical and electronic engineering as well as computer networks and communications.

The scientist has contributed extensively to multiple subfields, including:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Aerospace Engineering
  • Applied Mathematics

Their research topics cover a broad spectrum within advanced communications and security technologies. Main topics include:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Cooperative Communication and Network Coding
  • Wireless Communication Security Techniques
  • Millimeter-Wave Propagation and Modeling
  • Satellite Communication Systems
  • Privacy-Preserving Technologies in Data

Ming Xiao has published numerous papers, some of the recent notable papers are:

  • "Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach" (2023, IEEE Transactions on Intelligent Transportation Systems)
  • "Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing" (2023, IEEE Transactions on Intelligent Transportation Systems)
  • "Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources" (2022, IEEE Internet of Things Journal)
  • "Satellite-Based Computing Networks with Federated Learning" (2022, IEEE Wireless Communications)
  • "Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks" (2020, IEEE Wireless Communications Letters)

The researcher frequently collaborates with a group of co-authors, including:

  • Mikael Skoglund
  • Yue Xiao
  • H. Vincent Poor
  • Yu Ye
  • Zheng Ma

Ming Xiao's work has been disseminated predominantly in several high-impact venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Wireless Communications Letters
  • IEEE Transactions on Vehicular Technology

Best Publications

  • 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies

    Zhengquan Zhang;Yue Xiao;Zheng Ma;Ming Xiao

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

  • 6G Wireless Communications: Vision and Potential Techniques

    Ping Yang;Yue Xiao;Ming Xiao;Shaoqian Li

  • Full-Duplex Device-to-Device-Aided Cooperative Nonorthogonal Multiple Access

    Zhengquan Zhang;Zheng Ma;Ming Xiao;Zhiguo Ding

  • A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks

    Lin Zhang;Ming Xiao;Gang Wu;Muhammad Alam

  • Performance Analysis and Optimization in Downlink NOMA Systems With Cooperative Full-Duplex Relaying

    Lin Zhang;Jiaqi Liu;Ming Xiao;Gang Wu

  • The Sensable City: A Survey on the Deployment and Management for Smart City Monitoring

    Rong Du;Paolo Santi;Ming Xiao;Athanasios V. Vasilakos

  • High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies

    Zheng Ma;Ming Xiao;Yue Xiao;Zhibo Pang

  • Spectrum Sharing for Internet of Things: A Survey

    Lin Zhang;Ying-Chang Liang;Ming Xiao

  • Multiple-User Cooperative Communications Based on Linear Network Coding

    Ming Xiao;Mikael Skoglund

  • Design of Network Codes for Multiple-User Multiple-Relay Wireless Networks

    Ming Xiao;J. Kliewer;M. Skoglund

  • Design of network codes for multiple-user multiple-relay wireless networks

    Ming Xiao;Mikael Skoglund

  • Efficient Scheduling and Power Allocation for D2D-Assisted Wireless Caching Networks

    Lin Zhang;Ming Xiao;Gang Wu;Shaoqian Li

  • Experimental Investigation of the Effects of Suffusion on Physical and Geomechanic Characteristics of Sandy Soils

    Ming Xiao;Nathan Shwiyhat

  • Advances in Device-to-Device Communications and Network Coding for IMT-Advanced

    Afif Osseiran;Klaus Doppler;Cassio Ribeiro;Ming Xiao

  • Federated Learning over Wireless IoT Networks with Optimized Communication and Resources.

    Hao Chen;Shaocheng Huang;Deyou Zhang;Ming Xiao

  • Satellite Based Computing Networks with Federated Learning

    Hao Chen;Ming Xiao;Zhibo Pang

  • Full-Duplex Two-Way and One-Way Relaying: Average Rate, Outage Probability, and Tradeoffs

    Zhengquan Zhang;Zheng Ma;Zhiguo Ding;Ming Xiao

  • Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks

    Shaocheng Huang;Yu Ye;Ming Xiao;H. Vincent Poor

  • Threshold-Free Physical Layer Authentication Based on Machine Learning for Industrial Wireless CPS

    Fei Pan;Zhibo Pang;Hong Wen;Michele Luvisotto

  • Error Floor Analysis of LT Codes over the Additive White Gaussian Noise Channel

    Iqbal Hussain;Ming Xiao;Lars K. Rasmussen

  • Physical clogging of soil filters under constant flow rate versus constant head

    Lakshmi N. Reddi;Ming Xiao;Malay G. Hajra;In Mo Lee

  • Decentralized Beam Pair Selection in Multi-Beam Millimeter-Wave Networks

    Yanping Liu;Xuming Fang;Ming Xiao;Shahid Mumtaz

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

Frequent Co-Authors

Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Lars K. Rasmussen
Lars K. Rasmussen Royal Institute of Technology
Yongming Huang
Yongming Huang Southeast University
Gang Wu
Gang Wu Washington University in St. Louis
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Shaoqian Li
Shaoqian Li University of Electronic Science and Technology of China
Yue Xiao
Yue Xiao University of Electronic Science and Technology of China
Pingzhi Fan
Pingzhi Fan Southwest Jiaotong University
H. Vincent Poor
H. Vincent Poor Princeton University
Zesong Fei
Zesong Fei Beijing Institute of Technology

External Links

Personal website of Ming Xiao Google Scholar page

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Related Online Degrees & Career Pathways

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Beyond traditional engineering roles, fields like instructional design are gaining traction. Obtaining a degree in instructional design can equip engineers to create effective educational technology and training programs, bridging technical expertise with pedagogy.

Competency-based programs also provide valuable options, especially for self-motivated learners. These competency based masters degree programs emphasize mastering skills over time spent, making them a practical choice for those seeking customized pacing and practical outcomes.

Additionally, many institutions prioritize accessibility through initiatives like dedicated online school for military spouses, broadening opportunities for students with unique circumstances. This inclusivity helps maintain career momentum for those facing mobility challenges.

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Mohamed-Slim Alouini

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Publications: 27

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Jinhong Yuan

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Publications: 25

H. Vincent Poor

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Publications: 24

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Publications: 24

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Publications: 21

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