World's Best Scientists 2026 revealed!
Yongming Huang

Yongming Huang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
14384
World Ranking
1842
National Ranking
316

Yongming Huang 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 Yongming Huang 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: 450 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Yongming Huang 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 Yongming Huang 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: 58 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Yongming Huang is affiliated with Southeast University in China, specializing in engineering and computer science with a strong focus on electrical and electronic engineering and computer networks and communications. Their research encompasses a broad range of subfields including aerospace engineering, artificial intelligence, and signal processing.

Their work extensively covers advanced topics in wireless communication technologies. Key research areas include:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Millimeter-Wave Propagation and Modeling
  • Cooperative Communication and Network Coding
  • Advanced Wireless Communication Techniques
  • Energy Harvesting in Wireless Networks
  • Antenna Design and Optimization

Yongming Huang has contributed to numerous publications within reputable venues, such as:

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

Frequent collaborations have been established with researchers including Xiaohu You, Shengheng Liu, Cheng Zhang, Chuan Zhang, and Lüxi Yang, each coauthoring multiple papers alongside Huang.

Key recent papers illustrating the scope and impact of Huang's work include:

  • "Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts" (2020, Science China Information Sciences)
  • "On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds" (2023, IEEE Communications Surveys & Tutorials)
  • "Power Efficient IRS-Assisted NOMA" (2020, IEEE Transactions on Communications)
  • "Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation" (2021, arXiv (Cornell University))
  • "ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps" (2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV))

The breadth of research topics and publication venues indicates a strong interdisciplinary approach, integrating communication systems with emerging technologies in artificial intelligence and computational methods. The frequent participation in both theoretical and applied research contexts is reflected in multiple papers addressing fundamental challenges and innovations in wireless communication networks.

Best Publications

  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

    Xiaohu You;Cheng-Xiang Wang;Jie Huang;Xiqi Gao

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

  • BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

    Hao Chen;Kunyang Sun;Zhi Tian;Chunhua Shen

  • On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems

    Jianyue Zhu;Jiaheng Wang;Yongming Huang;Shiwen He

  • Coordinated Beamforming for Energy Efficient Transmission in Multicell Multiuser Systems

    Shiwen He;Yongming Huang;Shi Jin;Luxi Yang

  • Power Efficient IRS-Assisted NOMA

    Jianyue Zhu;Yongming Huang;Jiaheng Wang;Keivan Navaie

  • Performance Analysis of Multi-Antenna Hybrid Satellite-Terrestrial Relay Networks in the Presence of Interference

    Kang An;Min Lin;Tao Liang;Jun-Bo Wang

  • Distributed Multicell Beamforming With Limited Intercell Coordination

    Yongming Huang;Gan Zheng;M Bengtsson;Kai-Kit Wong

  • Codebook-Based Hybrid Precoding for Millimeter Wave Multiuser Systems

    Shiwen He;Jiaheng Wang;Yongming Huang;Bjorn Ottersten

  • Coordinated Multicell Multiuser Precoding for Maximizing Weighted Sum Energy Efficiency

    Shiwen He;Yongming Huang;Luxi Yang;Bjorn Ottersten

  • Outage Performance of Cognitive Hybrid Satellite–Terrestrial Networks With Interference Constraint

    Kang An;Min Lin;Wei-Ping Zhu;Yongming Huang

  • Codebook Design for Beam Alignment in Millimeter Wave Communication Systems

    Jianjun Zhang;Yongming Huang;Qingjiang Shi;Jiaheng Wang

  • Power-Efficient Communication in UAV-Aided Wireless Sensor Networks

    Meng Hua;Yi Wang;Zhengming Zhang;Chunguo Li

  • Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation

    Chunmei Xu;Shengheng Liu;Zhaohui Yang;Yongming Huang

  • Signal Processing for MIMO-NOMA: Present and Future Challenges

    Yongming Huang;Cheng Zhang;Jiaheng Wang;Yindi Jing

  • Robust Secure Beamforming for 5G Cellular Networks Coexisting With Satellite Networks

    Zhi Lin;Min Lin;Jun-Bo Wang;Yongming Huang

  • Energy-Efficient Cooperative Secure Transmission in Multi-UAV-Enabled Wireless Networks

    Meng Hua;Yi Wang;Qingqing Wu;Haibo Dai

  • An Overview on the Application of Graph Neural Networks in Wireless Networks

    Shiwen He;Shaowen Xiong;Yeyu Ou;Jian Zhang

  • On Massive MIMO Zero-Forcing Transceiver Using Time-Shifted Pilots

    Shi Jin;Xiaoyu Wang;Zheng Li;Kai-Kit Wong

  • Pilot Design Schemes for Sparse Channel Estimation in OFDM Systems

    Chenhao Qi;Guosen Yue;Lenan Wu;Yongming Huang

  • Accelerated Structure-Aware Sparse Bayesian Learning for Three-Dimensional Electrical Impedance Tomography

    Shengheng Liu;Hancong Wu;Yongming Huang;Yunjie Yang

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

Frequent Co-Authors

Luxi Yang
Luxi Yang Southeast University
Jiaheng Wang
Jiaheng Wang Southeast University
Shi Jin
Shi Jin Southeast University
Ming Xiao
Ming Xiao Royal Institute of Technology
Yindi Jing
Yindi Jing University of Alberta
Chenhao Qi
Chenhao Qi Southeast University
Xiaohu You
Xiaohu You Southeast University
Min Lin
Min Lin Nanjing University of Posts and Telecommunications
Ju Ren
Ju Ren Tsinghua University
Bjorn Ottersten
Bjorn Ottersten University of Luxembourg

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

For those interested in pursuing Electronics and Electrical Engineering, exploring flexible education options can be a game-changer. Many prospective students value competency-based learning, which allows you to progress at your own pace by demonstrating your skills. To identify suitable institutions, consider this comprehensive list of competency-based colleges.

Military spouses and dependents often face unique challenges in accessing higher education. Fortunately, there are many supportive options tailored to their needs. Online programs designed specifically for this group can provide the flexibility and understanding required for success. Check out these online schools for military spouses that offer dedicated support services and adaptable learning schedules.

Starting a degree program can often be a lengthy process, but some institutions offer greater flexibility with weekly start dates. This allows students to begin their studies without waiting for traditional semester start times, making it easier to balance education with work or personal commitments.

If you’re looking to quickly boost your career prospects, consider enrolling in short certificate programs that pay well online. These accelerated courses can enhance your technical skills and open up new job opportunities in the electronics and electrical engineering fields.

Best Scientists Citing Yongming Huang

Trending Scientists

Recently Published Articles