World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
4041
World Ranking
5886
National Ranking
851

Helin Yang 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 Helin Yang sits on this spectrum.

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 publications 1,065+

This scientist: 106 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Helin Yang 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 Helin Yang sits on this spectrum.

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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Best Publications

  • Artificial-Intelligence-Enabled Intelligent 6G Networks

    Helin Yang;Arokiaswami Alphones;Zehui Xiong;Dusit Niyato

  • On the Performance of MIMO-NOMA-Based Visible Light Communication Systems

    Chen Chen;Wen-De Zhong;Helin Yang;Pengfei Du

  • Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

    Helin Yang;Jun Zhao;Zehui Xiong;Kwok-Yan Lam

  • Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

    Helin Yang;Zehui Xiong;Jun Zhao;Dusit Niyato

  • Learning-Based Energy-Efficient Resource Management by Heterogeneous RF/VLC for Ultra-Reliable Low-Latency Industrial IoT Networks

    Helin Yang;Arokiaswami Alphones;Wen-De Zhong;Chen Chen

  • Intelligent Resource Management Based on Reinforcement Learning for Ultra-Reliable and Low-Latency IoV Communication Networks

    Helin Yang;Xianzhong Xie;Michel Kadoch

  • Lead federated neuromorphic learning for wireless edge artificial intelligence

    Unknown

  • Noncooperative and Cooperative Optimization of Electric Vehicle Charging Under Demand Uncertainty: A Robust Stackelberg Game

    Helin Yang;Xianzhong Xie;Athanasios V. Vasilakos

  • Reduction of SINR Fluctuation in Indoor Multi-Cell VLC Systems Using Optimized Angle Diversity Receiver

    Chen Chen;Wen-De Zhong;Helin Yang;Sheng Zhang

  • Distributed Deep Reinforcement Learning Based Spectrum and Power Allocation for Heterogeneous Networks

    Unknown

  • QoS-Driven Optimized Design-Based Integrated Visible Light Communication and Positioning for Indoor IoT Networks

    Helin Yang;Wen-De Zhong;Chen Chen;Arokiaswami Alphones

  • Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications

    Helin Yang;Zehui Xiong;Jun Zhao;Dusit Niyato

  • Integration of Visible Light Communication and Positioning within 5G Networks for Internet of Things

    Helin Yang;Wen-De Zhong;Chen Chen;Arokiaswami Alphones

  • Deep-Reinforcement-Learning-Based Energy-Efficient Resource Management for Social and Cognitive Internet of Things

    Helin Yang;Wen-De Zhong;Chen Chen;Arokiaswami Alphones

  • Flexible-Rate SIC-Free NOMA for Downlink VLC Based on Constellation Partitioning Coding

    Chen Chen;Wen-De Zhong;Helin Yang;Pengfei Du

  • Learning-Based Reliable and Secure Transmission for UAV-RIS-Assisted Communication Systems

    Unknown

  • Machine Learning Techniques and A Case Study for Intelligent Wireless Networks

    Helin Yang;Xianzhong Xie;Michel Kadoch

  • Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications

    Zhaoyuan Shi;Xianzhong Xie;Huabing Lu;Helin Yang

  • IRS-Aided Energy-Efficient Secure WBAN Transmission Based on Deep Reinforcement Learning

    Unknown

  • An Actor-Critic Deep Reinforcement Learning Approach for Transmission Scheduling in Cognitive Internet of Things Systems

    Helin Yang;Xianzhong Xie

Frequent Co-Authors

Chen Chen
Chen Chen Chongqing University
Arokiaswami Alphones
Arokiaswami Alphones Nanyang Technological University
Zehui Xiong
Zehui Xiong Queen's University Belfast
Wen-De Zhong
Wen-De Zhong Nanyang Technological University
Dusit Niyato
Dusit Niyato Nanyang Technological University
Liang Xiao
Liang Xiao Xiamen University
Massimo Tornatore
Massimo Tornatore Polytechnic University of Milan
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Ranjan Singh
Ranjan Singh University of Notre Dame
Zhiguo Ding
Zhiguo Ding Nanyang Technological University

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Related Online Degrees & Career Pathways

For those pursuing Electronics and Electrical Engineering, exploring related online degrees can enhance career flexibility. Many students consider programs like the best online master's for teaching, which open doors to educational roles in technical training and curriculum development within engineering fields.

Competency-based learning models are also gaining traction, allowing students to progress by demonstrating skills rather than through traditional credit hours. This approach, highlighted by the competency based masters, is particularly valuable for working engineers seeking to build advanced knowledge without interrupting their careers.

Military spouses and dependents often require flexible, accessible education options. Thankfully, some of the best online colleges for military spouses provide tailored support, making it easier to study Electronics and Electrical Engineering remotely while managing frequent relocations.

Additionally, enrolling in programs with online colleges with weekly start dates offers flexibility by allowing students to begin their courses at many different points throughout the year—a significant advantage for those balancing work and personal commitments.

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