World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
78
Citations
26501
World Ranking
571
National Ranking
257

Computer Science

D-Index
78
Citations
26706
World Ranking
1197
National Ranking
635

Shiwen Mao 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 Shiwen Mao 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: 445 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Shiwen Mao 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 Shiwen Mao 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Shiwen Mao is a researcher affiliated with Auburn University in the United States. Their work spans extensive research in engineering and computer science, with a particular focus on electrical and electronic engineering, computer networks and communications, artificial intelligence, aerospace engineering, and computer vision and pattern recognition.

Their research explores multiple topics including:

  • Indoor and outdoor localization technologies
  • Millimeter-wave propagation and modeling
  • Advanced MIMO systems optimization
  • IoT and edge/fog computing
  • Wireless signal modulation classification
  • Satellite communication systems
  • UAV applications and optimization

Shiwen Mao has contributed to many publications across a range of venues. Frequently, their work appears in:

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

Some of the recent papers associated with or relevant to their research include:

  • "Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer" (2020) published in IEEE Transactions on Cognitive Communications and Networking
  • "Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT" (2021) published in IEEE Transactions on Wireless Communications
  • "Large-scale real-world radio signal recognition with deep learning" (2021) published in Chinese Journal of Aeronautics
  • "Complex-Valued Networks for Automatic Modulation Classification" (2020) published in IEEE Transactions on Vehicular Technology
  • "Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services" (2024) published in IEEE Communications Surveys & Tutorials

Frequent collaborators in their research include Dusit Niyato, Jiawen Kang, Xuyu Wang, Zehui Xiong, and Zhu Han.

Shiwen Mao's publication record also includes book contributions. One notable publication is titled Positioning and Sensing Over Wireless Networks, scheduled for release in 2025 by Springer International Publishing.

Best Publications

  • Big Data: A Survey

    Min Chen;Shiwen Mao;Yunhao Liu

  • CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach

    Xuyu Wang;Lingjun Gao;Shiwen Mao;Santosh Pandey

  • Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning

    Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao

  • Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

    Yaohua Sun;Mugen Peng;Yangcheng Zhou;Yuzhe Huang

  • Multiobjective Optimization for Computation Offloading in Fog Computing

    Liqing Liu;Zheng Chang;Xijuan Guo;Shiwen Mao

  • CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach

    Xuyu Wang;Lingjun Gao;Shiwen Mao

  • Big Data: Related Technologies, Challenges and Future Prospects

    Min Chen;Shiwen Mao;Yin Zhang;Victor C. M. Leung

  • DeepFi: Deep learning for indoor fingerprinting using channel state information

    Xuyu Wang;Lingjun Gao;Shiwen Mao;Santosh Pandey

  • Video transport over ad hoc networks: multistream coding with multipath transport

    Shiwen Mao;Shunan Lin;S.S. Panwar;Yao Wang

  • PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices

    Xuyu Wang;Chao Yang;Shiwen Mao

  • Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer

    Yun Lin;Ya Tu;Zheng Dou;Lei Chen

  • Deep Convolutional Neural Networks for Indoor Localization with CSI Images

    Xuyu Wang;Xiangyu Wang;Shiwen Mao

  • Large-scale real-world radio signal recognition with deep learning

    Ya Tu;Yun Lin;Haoran Zha;Ju Zhang

  • Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT

    Shichao Xia;Zhixiu Yao;Yun Li;Shiwen Mao

  • Deep Reinforcement Learning-Based Mode Selection and Resource Management for Green Fog Radio Access Networks

    Yaohua Sun;Mugen Peng;Shiwen Mao

  • Complex-Valued Networks for Automatic Modulation Classification

    Ya Tu;Yun Lin;Changbo Hou;Shiwen Mao

  • Directional geographical routing for real-time video communications in wireless sensor networks

    Min Chen;Victor C. M. Leung;Shiwen Mao;Yong Yuan

  • Performance Evaluation of Cognitive Radios: Metrics, Utility Functions, and Methodology

    Youping Zhao;Shiwen Mao;J.O. Neel;J.H. Reed

  • EMC: Emotion-aware mobile cloud computing in 5G

    Min Chen;Yin Zhang;Yong Li;Shiwen Mao

  • Adaptive Electricity Scheduling in Microgrids

    Yingsong Huang;Shiwen Mao;R. M. Nelms

  • BiLoc: Bi-Modal Deep Learning for Indoor Localization With Commodity 5GHz WiFi

    Xuyu Wang;Lingjun Gao;Shiwen Mao

  • User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis

    Yi Xu;Guosen Yue;Shiwen Mao

Frequent Co-Authors

Min Chen
Min Chen South China University of Technology
Shivendra S. Panwar
Shivendra S. Panwar New York University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Tao Jiang
Tao Jiang Huazhong University of Science and Technology
Scott F. Midkiff
Scott F. Midkiff Virginia Tech
R.M. Nelms
R.M. Nelms Auburn University
Hanif D. Sherali
Hanif D. Sherali Virginia Tech
Prathima Agrawal
Prathima Agrawal Auburn University
Sastry Kompella
Sastry Kompella United States Naval Research Laboratory
Jeffrey H. Reed
Jeffrey H. Reed Virginia Tech

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 students pursuing Electronics and Electrical Engineering, flexible learning options are increasingly important. Many institutions now offer online colleges with flexible start dates, allowing learners to begin their studies at a time that suits their schedules. This flexibility supports balancing education with work or personal commitments.

If you're looking to quickly boost your qualifications, exploring 6-month certificate programs that pay well can be a smart strategy. These focused certifications help develop specific skills relevant to tech fields and can enhance job prospects without a long-term commitment.

When considering career paths, it's helpful to identify roles that match your personality. For example, many introverted engineers find success in specialized positions. Check out this list of introvert jobs that pay well to discover suitable career options that blend comfort and compensation.

Additionally, for professionals looking to expand their leadership skills, pursuing the best online accelerated project management degree can open doors to managerial roles overseeing engineering projects, adding versatility to your career trajectory.

Best Scientists Citing Shiwen Mao

Trending Scientists

Recently Published Articles