World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
6569
World Ranking
4505
National Ranking
677

Zan Li 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 Zan Li 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: 300 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Zan Li 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 Zan Li 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: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Zan Li is affiliated with Xidian University in China and has contributed extensively to the fields of engineering and computer science. Their research spans a broad range of topics primarily focused on wireless communication and networking technologies.

Their work is concentrated within several key subfields of study:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Zan Li's research topics include:

  • Wireless Communication Security Techniques
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Wireless Signal Modulation Classification
  • Cooperative Communication and Network Coding
  • UAV Applications and Optimization
  • Satellite Communication Systems

They have contributed a significant number of publications to reputable academic venues. Frequent publication sources for their work include:

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

Co-authorship is a notable aspect of Zan Li's research, with frequent collaborations including:

  • Jiangbo Si
  • Jia Shi
  • Naofal Al-Dhahir
  • Chao Wang
  • Danyang Wang

Zan Li has published several recent papers, with contributions across various wireless communication domains. Some of these works are:

  • Mobile Edge Computing in Unmanned Aerial Vehicle Networks (2020), IEEE Wireless Communications
  • Covert Communication in Intelligent Reflecting Surface-Assisted NOMA Systems: Design, Analysis, and Optimization (2021), IEEE Transactions on Wireless Communications
  • Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information (2020), IEEE Transactions on Cognitive Communications and Networking
  • Wireless Covert Communications Aided by Distributed Cooperative Jamming Over Slow Fading Channels (2021), IEEE Transactions on Wireless Communications
  • Covert Transmission Assisted by Intelligent Reflecting Surface (2021), IEEE Transactions on Communications

Best Publications

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

    Fen Cheng;Shun Zhang;Zan Li;Yunfei Chen

  • Joint Trajectory and Precoding Optimization for UAV-Assisted NOMA Networks

    Nan Zhao;Xiaowei Pang;Zan Li;Yunfei Chen

  • State of the Art, Taxonomy, and Open Issues on Cognitive Radio Networks with NOMA

    Fuhui Zhou;Yongpeng Wu;Ying-Chang Liang;Zan Li

  • Underwater optical communication performance for laser beam propagation through weak oceanic turbulence

    Unknown

  • Transceiver Design and Multihop D2D for UAV IoT Coverage in Disasters

    Xiaonan Liu;Zan Li;Nan Zhao;Weixiao Meng

  • Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information

    Peihan Qi;Xiaoyu Zhou;Shilian Zheng;Zan Li

  • Low Complexity Automatic Modulation Classification Based on Order-Statistics

    Lubing Han;Feifei Gao;Zan Li;Octavia A. Dobre

  • Energy-Efficient Optimal Power Allocation for Fading Cognitive Radio Channels: Ergodic Capacity, Outage Capacity, and Minimum-Rate Capacity

    Fuhui Zhou;Norman C. Beaulieu;Zan Li;Jiangbo Si

  • Wireless Covert Communications Aided by Distributed Cooperative Jamming Over Slow Fading Channels

    Tong-Xing Zheng;Ziteng Yang;Chao Wang;Zan Li

  • Orbital-Angular-Momentum Embedded Massive MIMO: Achieving Multiplicative Spectrum-Efficiency for mmWave Communications

    Wenchi Cheng;Hailin Zhang;Liping Liang;Haiyue Jing

  • Intelligent Reflecting Surface-Assisted Multi-Antenna Covert Communications: Joint Active and Passive Beamforming Optimization

    Chao Wang;Zan Li;Jia Shi;Derrick Wing Kwan Ng

  • On the Performance of Cognitive Relay Networks Under Primary User's Outage Constraint

    JiangBo Si;Zan Li;XiaoJun Chen;BenJian Hao

  • Age of Information for Short-Packet Covert Communication

    Weiwei Yang;Xingbo Lu;Shihao Yan;Feng Shu

  • On the Performance of Spectrum Sharing Cognitive Relay Networks with Imperfect CSI

    Junjie Chen;Jiangbo Si;Zan Li;Haiyan Huang

  • MobiCache: When k-anonymity meets cache

    Xiaoyan Zhu;Haotian Chi;Ben Niu;Weidong Zhang

  • Doppler spread estimation for mobile OFDM systems in Rayleigh fading channels

    Unknown

  • Sensor Selection for TDOA-Based Localization in Wireless Sensor Networks With Non-Line-of-Sight Condition

    Yue Zhao;Zan Li;Benjian Hao;Jia Shi

  • Capacity Analysis of Cognitive Relay Networks with the PU's Interference

    JiangBo Si;Zan Li;HaiYan Huang;JunJie Chen

  • Efficient Soft Decision Fusion Rule in Cooperative Spectrum Sensing

    Weijia Han;Jiandong Li;Zan Li;Jiangbo Si

  • Energy Efficient Resource Allocation in Hybrid Non-Orthogonal Multiple Access Systems

    Jia Shi;Wenjuan Yu;Qiang Ni;Wei Liang

  • A Secure Intelligent Spectrum Control Strategy for Future THz Mobile Heterogeneous Networks

    Zan Li;Lei Guan;Chenxi Li;Ayman Radwan

  • Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks

    Zan Li;Wen Wu;Xiangli Liu;Peihan Qi

  • Low Complexity Automatic Modulation Classification Based on Order Statistics

    Lubing Han;Haozhou Xue;Feifei Gao;Zan Li

Frequent Co-Authors

Hailin Zhang
Hailin Zhang Xidian University
Fuhui Zhou
Fuhui Zhou Nanjing University of Aeronautics and Astronautics
Feifei Gao
Feifei Gao Tsinghua University
Jiandong Li
Jiandong Li Xidian University
Julian Cheng
Julian Cheng University of British Columbia
Ning Zhang
Ning Zhang University of Windsor
Xuemin Shen
Xuemin Shen University of Waterloo
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Derrick Wing Kwan Ng
Derrick Wing Kwan Ng University of New South Wales

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Related Online Degrees & Career Pathways

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Moreover, pursuing an instructional design masters online can be an unexpected yet strategic choice. Engineers can leverage this degree to transition into training or educational roles, designing technical curricula that enhance workforce development in engineering sectors.

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