World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 47 3167 3033 513 511 173 11073
Computer Science 49 5826 5660 770 765 171 11302

Rong Yu publications per year

The chart shows the history of publications by Rong Yu between 1991 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Rong Yu published across 35 years, from 1991 to 2025, averaging 7.9 papers a year. Output peaked at 40 publications in 2021. 34 of the 277 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1991 to 2025. Vertical axis: number of publications, 0 to 40. Peak 40 publications in 2021. 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 1 publication 2007: 3 publications 2008: 2 publications 2009: 4 publications 2010: 11 publications 2011: 9 publications 2012: 9 publications 2013: 9 publications 2014: 12 publications 2015: 21 publications 2016: 25 publications 2017: 11 publications 2018: 10 publications 2019: 11 publications 2020: 20 publications 2021: 40 publications 2022: 17 publications 2023: 26 publications 2024: 24 publications 2025: 10 publications
1991 2025

277 publications in total across all disciplines

View publications per year as a table
Rong Yu: publications per year, 1991 to 2025
Year Publications
1991 1
1992 0
1993 0
1994 0
1995 1
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 1
2007 3
2008 2
2009 4
2010 11
2011 9
2012 9
2013 9
2014 12
2015 21
2016 25
2017 11
2018 10
2019 11
2020 20
2021 40
2022 17
2023 26
2024 24
2025 10
Total 277
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Rong 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 Rong 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, 154–173 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: 173 publications — 21st percentile

21% 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
154–173 403 173
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
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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Rong 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 Rong 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, 47 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: 47 D-Index — 54th percentile

54% 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 47
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
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Overview

Rong Yu is affiliated with Guangdong University of Technology in China. Their research primarily focuses on areas within Computer Science and Engineering, with notable contributions across several subfields, including Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, and Automotive Engineering.

Their work covers a range of topics such as Privacy-Preserving Technologies in Data, IoT and Edge/Fog Computing, Vehicular Ad Hoc Networks (VANETs), Blockchain Technology Applications and Security, Mobile Crowdsensing and Crowdsourcing, Stochastic Gradient Optimization Techniques, and Autonomous Vehicle Technology and Safety.

Rong Yu has published extensively in frequent venues, including IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, arXiv (Cornell University), Journal of Physics Conference Series, and IEEE Transactions on Network Science and Engineering. These venues reflect the intersection of their work in network communication, Internet of Things, and vehicular technologies.

Some of their recent papers include:

  • "Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach," 2020, IEEE Access
  • "Toward Resource-Efficient Federated Learning in Mobile Edge Computing," 2021, IEEE Network
  • "Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach," 2021, IEEE Internet of Things Journal
  • "DeepBAN: A Temporal Convolution-Based Communication Framework for Dynamic WBANs," 2021, IEEE Transactions on Communications
  • "Securing parked vehicle assisted fog computing with blockchain and optimal smart contract design," 2020, IEEE/CAA Journal of Automatica Sinica

Their frequent coauthors include Maoqiang Wu, Dongdong Ye, Miao Pan, Jiawen Kang, and Xumin Huang, indicating sustained collaborative efforts in their research community.

Best Publications

  • Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains

    Jiawen Kang;Rong Yu;Xumin Huang;Sabita Maharjan

  • Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things

    Zhetao Li;Jiawen Kang;Rong Yu;Dongdong Ye

  • Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks

    Jiawen Kang;Rong Yu;Xumin Huang;Maoqiang Wu

  • Home M2M networks: Architectures, standards, and QoS improvement

    Yan Zhang;Rong Yu;Shengli Xie;Wenqing Yao

  • Toward cloud-based vehicular networks with efficient resource management

    Rong Yu;Yan Zhang;Stein Gjessing;Wenlong Xia

  • Cognitive machine-to-machine communications: visions and potentials for the smart grid

    Yan Zhang;Rong Yu;Maziar Nekovee;Yi Liu

  • Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach

    Dongdong Ye;Rong Yu;Miao Pan;Zhu Han

  • Cognitive radio based hierarchical communications infrastructure for smart grid

    Rong Yu;Yan Zhang;S. Gjessing;Chau Yuen

  • Privacy-Preserved Pseudonym Scheme for Fog Computing Supported Internet of Vehicles

    Jiawen Kang;Rong Yu;Xumin Huang;Yan Zhang

  • Distributed Reputation Management for Secure and Efficient Vehicular Edge Computing and Networks

    Xumin Huang;Rong Yu;Jiawen Kang;Yan Zhang

  • Balancing Power Demand Through EV Mobility in Vehicle-to-Grid Mobile Energy Networks

    Rong Yu;Weifeng Zhong;Shengli Xie;Chau Yuen

  • Exploring Mobile Edge Computing for 5G-Enabled Software Defined Vehicular Networks

    Xumin Huang;Rong Yu;Jiawen Kang;Yejun He

  • A Parallel Cooperative Spectrum Sensing in Cognitive Radio Networks

    Shengli Xie;Yi Liu;Yan Zhang;Rong Yu

  • MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks

    Rong Yu;Jiawen Kang;Xumin Huang;Shengli Xie

  • Toward Resource-Efficient Federated Learning in Mobile Edge Computing

    Rong Yu;Peichun Li

  • Electricity Cost Minimization for a Microgrid With Distributed Energy Resource Under Different Information Availability

    Yi Liu;Chau Yuen;Naveed Ul Hassan;Shisheng Huang

  • Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI

    Unknown

  • Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach

    Rong Yu;Jiefei Ding;Xumin Huang;Ming-Tuo Zhou

  • Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach

    Maoqiang Wu;Dongdong Ye;Jiahao Ding;Yuanxiong Guo

  • PHEV charging and discharging cooperation in V2G networks: A coalition game approach

    Rong Yu;Jiefei Ding;Weifeng Zhong;Yi Liu

  • Cooperative Resource Management in Cloud-Enabled Vehicular Networks

    Rong Yu;Xumin Huang;Jiawen Kang;Jiefei Ding

  • Queuing-Based Energy Consumption Management for Heterogeneous Residential Demands in Smart Grid

    Yi Liu;Chau Yuen;Rong Yu;Yan Zhang

Frequent Co-Authors

Shengli Xie
Shengli Xie Guangdong University of Technology
Jiawen Kang
Jiawen Kang Guangdong University of Technology
Stein Gjessing
Stein Gjessing University of Oslo
Miao Pan
Miao Pan University of Houston
Chau Yuen
Chau Yuen Nanyang Technological University
Sabita Maharjan
Sabita Maharjan University of Oslo
Lingyang Song
Lingyang Song Peking University
Lei Shu
Lei Shu Nanjing Agricultural University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Kun Yang
Kun Yang University of Essex

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