World's Best Scientists 2026 revealed!
F. Richard Yu

F. Richard Yu

Award Badge
Computer Science
Canada
2026
Award Badge
Electronics and Electrical Engineering
Canada
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 108 118 115 5 5 727 42633
Computer Science 113 200 195 6 6 755 57716

F. Richard Yu publications per year

The chart shows the history of publications by F. Richard Yu between 2001 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. F. Richard Yu published across 26 years, from 2001 to 2026, averaging 50.3 papers a year. Output peaked at 154 publications in 2025. 158 of the 1,307 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 2001 to 2026. Vertical axis: number of publications, 0 to 154. Peak 154 publications in 2025. 2001: 1 publication 2002: 2 publications 2003: 2 publications 2004: 2 publications 2005: 7 publications 2006: 3 publications 2007: 5 publications 2008: 9 publications 2009: 20 publications 2010: 34 publications 2011: 29 publications 2012: 43 publications 2013: 46 publications 2014: 48 publications 2015: 52 publications 2016: 63 publications 2017: 62 publications 2018: 69 publications 2019: 73 publications 2020: 78 publications 2021: 85 publications 2022: 117 publications 2023: 150 publications 2024: 149 publications 2025: 154 publications 2026: 4 publications
2001 2026

1,307 publications in total across all disciplines

View publications per year as a table
F. Richard Yu: publications per year, 2001 to 2026
Year Publications
2001 1
2002 2
2003 2
2004 2
2005 7
2006 3
2007 5
2008 9
2009 20
2010 34
2011 29
2012 43
2013 46
2014 48
2015 52
2016 63
2017 62
2018 69
2019 73
2020 78
2021 85
2022 117
2023 150
2024 149
2025 154
2026 4
Total 1,307
Download as CSV

F. Richard Yu 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 F. Richard Yu 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, 714–733 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: 727 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 28 727
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

F. Richard Yu 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 F. Richard Yu 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, 108 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: 108 D-Index — 98th percentile

98% 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 5 108
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Computer Science in Canada Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Canada Leader Award
  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

F. Richard Yu is affiliated with Carleton University in Canada. Their research spans multiple fields including Computer Science and Engineering, with significant work published in related subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Artificial Intelligence.

Their recent published papers illustrate a focus on Internet of Things (IoT), wireless communication, and autonomous vehicle technologies. Notable recent works include:

  • Enabling Massive IoT Toward 6G: A Comprehensive Survey, 2021, IEEE Internet of Things Journal
  • Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey, 2020, IEEE Internet of Things Journal
  • A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs), 2021, IEEE Transactions on Intelligent Transportation Systems
  • Blockchain and Machine Learning for Communications and Networking Systems, 2020, IEEE Communications Surveys & Tutorials
  • MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach, 2020, IEEE Internet of Things Journal

Frequent co-authors include Victor C. M. Leung, Tao Huang, Renchao Xie, Nan Zhao, and Li Zhu. Collaboration with these researchers reflects consistent cooperative work within the fields of IoT and wireless communication.

The venues where F. Richard Yu has published most frequently are:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Wireless Communications

The main fields of study focus on Computer Science with considerable contributions to Engineering. Within these broader domains, the subfields emphasized include Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, and Aerospace Engineering.

Research topics covered are diverse and largely centered around emerging technology and networked systems:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • UAV Applications and Optimization
  • Vehicular Ad Hoc Networks (VANETs)
  • Privacy-Preserving Technologies in Data
  • Advanced Wireless Communication Technologies
  • Caching and Content Delivery

In addition to journal articles, F. Richard Yu has contributed to academic books, including a 2023 publication titled Advances in Nonlinear Systems and Networks released by Frontiers Media.

Best Publications

  • Introduction to Machine Learning

    F. Richard Yu;Ying He

  • Big Data Analytics in Intelligent Transportation Systems: A Survey

    Li Zhu;Fei Richard Yu;Yige Wang;Bin Ning

  • Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges

    Qiao Yan;F. Richard Yu;Qingxiang Gong;Jianqiang Li

  • Wireless Network Virtualization: A Survey, Some Research Issues and Challenges

    Chengchao Liang;F. Richard Yu

  • A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges

    Junfeng Xie;Helen Tang;Tao Huang;F. Richard Yu

  • Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks

    Fei Yu;Victor Leung

  • UAV-Assisted Emergency Networks in Disasters

    Nan Zhao;Weidang Lu;Min Sheng;Yunfei Chen

  • Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing

    Chenmeng Wang;Chengchao Liang;F. Richard Yu;Qianbin Chen

  • Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges

    Ruizhe Yang;F. Richard Yu;Pengbo Si;Zhaoxin Yang

  • A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

    Junfeng Xie;F. Richard Yu;Tao Huang;Renchao Xie

  • Enabling Massive IoT Toward 6G: A Comprehensive Survey

    Fengxian Guo;F. Richard Yu;Heli Zhang;Xi Li

  • In-Band Full-Duplex Relaying: A Survey, Research Issues and Challenges

    Gang Liu;F. Richard Yu;Hong Ji;Victor C. M. Leung

  • Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges

    Jian-Qiang Li;F. Richard Yu;Genqiang Deng;Chengwen Luo

  • A Distributed Consensus-Based Cooperative Spectrum-Sensing Scheme in Cognitive Radios

    Zhiqiang Li;F.R. Yu;Minyi Huang

  • Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells

    Renchao Xie;F. R. Yu;Hong Ji;Yi Li

  • Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

    Ying He;F. Richard Yu;Nan Zhao;Victor C. M. Leung

  • Joint Computation Offloading and Interference Management in Wireless Cellular Networks with Mobile Edge Computing

    Chenmeng Wang;F. Richard Yu;Chengchao Liang;Qianbin Chen

  • User Scheduling and Resource Allocation in HetNets With Hybrid Energy Supply: An Actor-Critic Reinforcement Learning Approach

    Yifei Wei;F. Richard Yu;Mei Song;Zhu Han

  • When big data meets software-defined networking: SDN for big data and big data for SDN

    Laizhong Cui;F. Richard Yu;Qiao Yan

  • UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells

    Fen Cheng;Shun Zhang;Zan Li;Yunfei Chen

  • A Survey of Security Challenges in Cognitive Radio Networks: Solutions and Future Research Directions

    A. Attar;H. Tang;A. V. Vasilakos;F. R. Yu

Frequent Co-Authors

Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Nan Zhao
Nan Zhao Dalian University of Technology
Hong Ji
Hong Ji Beijing University of Posts and Telecommunications
Yunfei Chen
Yunfei Chen University of Warwick
Tao Tang
Tao Tang Beijing Jiaotong University
Renchao Xie
Renchao Xie Beijing University of Posts and Telecommunications
Mei Song
Mei Song University of California, Berkeley
Xi Li
Xi Li Beijing University of Posts and Telecommunications
Haipeng Yao
Haipeng Yao Beijing University of Posts and Telecommunications
Jiang Liu
Jiang Liu Southern University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related online degrees can open new doors for Electronics and Electrical Engineering graduates. For introverts seeking high-paying roles, understanding high paying careers for introverts can help tailor career choices towards roles that maximize both skills and personal work styles.

For those interested in leadership and organizational roles, pursuing a bachelor degree in project management offers foundational knowledge that complements technical expertise. Additionally, many find value in enrolling in the quickest online project management degree programs to accelerate career advancement without extensive time commitments.

Working professionals often need flexible learning options. Online degrees designed specifically for busy schedules provide this flexibility, with many programs tailored as online degrees for working adults. These pathways make it easier to balance work, study, and life while gaining valuable credentials.

By considering these related education options, students and professionals in Electronics and Electrical Engineering can diversify their skills and improve their career prospects in a competitive job market.

Best Scientists Citing F. Richard Yu

Trending Scientists

Recently Published Articles