World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
11555
World Ranking
2186
National Ranking
374

Computer Science

D-Index
56
Citations
11860
World Ranking
4098
National Ranking
543

Liang Xiao 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 Liang Xiao 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: 187 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Liang Xiao 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 Liang Xiao 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: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Liang Xiao is affiliated with Xiamen University in China and conducts research primarily in the fields of Engineering and Computer Science. Their work focuses on several specialized subfields, including Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Renewable Energy, Sustainability and the Environment, and Artificial Intelligence.

Their research topics cover a diverse range of areas such as UAV Applications and Optimization, Advanced Wireless Communication Technologies, Wireless Communication Security Techniques, Electrocatalysts for Energy Conversion, Catalytic Processes in Materials Science, Privacy-Preserving Technologies in Data, and Advanced Photocatalysis Techniques.

Recent significant papers authored or co-authored by Liang Xiao include:

  • Atomic-Level Modulation of Electronic Density at Cobalt Single-Atom Sites Derived from Metal-Organic Frameworks: Enhanced Oxygen Reduction Performance (2020) published in Angewandte Chemie International Edition
  • The Progress and Outlook of Metal Single-Atom-Site Catalysis (2022) published in Journal of the American Chemical Society
  • Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management (2021) published in IEEE Journal on Selected Areas in Communications
  • Lattice Strain and Schottky Junction Dual Regulation Boosts Ultrafine Ruthenium Nanoparticles Anchored on a N-Modified Carbon Catalyst for H2 Production (2022) published in Journal of the American Chemical Society
  • Lewis Acid Site-Promoted Single-Atomic Cu Catalyzes Electrochemical CO2 Methanation (2021) published in Nano Letters

Liang Xiao frequently collaborates with other researchers, including Dingsheng Wang, Helin Yang, Yadong Li, Xiaozhen Lu, and Zefang Lv. These collaborative efforts contribute to the multidisciplinary nature of their research endeavors.

The venues where Liang Xiao has published most extensively include IEEE Transactions on Vehicular Technology, Journal of the American Chemical Society, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and Angewandte Chemie International Edition.

Liang Xiao has also contributed to academic literature through book publications, including a work titled Reinforcement Learning for Maritime Communications published in 2023 by Springer International Publishing.

Best Publications

  • Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications

    Helin Yang;Zehui Xiong;Jun Zhao;Dusit Niyato

  • IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

    Liang Xiao;Xiaoyue Wan;Xiaozhen Lu;Yanyong Zhang

  • Learning-Based Computation Offloading for IoT Devices With Energy Harvesting

    Minghui Min;Liang Xiao;Ye Chen;Peng Cheng

  • Using the physical layer for wireless authentication in time-variant channels

    Liang Xiao;L. Greenstein;N. Mandayam;W. Trappe

  • Fingerprints in the Ether: Using the Physical Layer for Wireless Authentication

    Liang Xiao;L. Greenstein;N. Mandayam;W. Trappe

  • PHY-Layer Spoofing Detection with Reinforcement Learning in Wireless Networks

    Liang Xiao;Yan Li;Guoan Han;Guolong Liu

  • UAV Relay in VANETs Against Smart Jamming With Reinforcement Learning

    Liang Xiao;Xiaozhen Lu;Dongjin Xu;Yuliang Tang

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

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

  • Reinforcement Learning-Based NOMA Power Allocation in the Presence of Smart Jamming

    Liang Xiao;Yanda Li;Canhuang Dai;Huaiyu Dai

  • Security in Mobile Edge Caching with Reinforcement Learning

    Liang Xiao;Xiaoyue Wan;Canhuang Dai;Xiaojiang Du

  • Two-dimensional anti-jamming communication based on deep reinforcement learning

    Guoan Han;Liang Xiao;H. Vincent Poor

  • Learning-Based Privacy-Aware Offloading for Healthcare IoT With Energy Harvesting

    Minghui Min;Xiaoyue Wan;Liang Xiao;Ye Chen

  • Cloud-Based Malware Detection Game for Mobile Devices with Offloading

    Liang Xiao;Yanda Li;Xueli Huang;XiaoJiang Du

  • PHY-Layer Authentication With Multiple Landmarks With Reduced Overhead

    Liang Xiao;Xiaoyue Wan;Zhu Han

  • Channel-Based Detection of Sybil Attacks in Wireless Networks

    Liang Xiao;L.J. Greenstein;N.B. Mandayam;W. Trappe

  • Spectral efficiency of distributed antenna system with random antenna layout

    Hairuo Zhuang;Lin Dai;Liang Xiao;Yan Yao

  • Anti-Jamming Transmission Stackelberg Game With Observation Errors

    Liang Xiao;Tianhua Chen;Jinliang Liu;Huaiyu Dai

  • A Secure Mobile Crowdsensing Game With Deep Reinforcement Learning

    Liang Xiao;Yanda Li;Guoan Han;Huaiyu Dai

  • User-Centric View of Unmanned Aerial Vehicle Transmission Against Smart Attacks

    Liang Xiao;Caixia Xie;Minghui Min;Weihua Zhuang

  • Reinforcement Learning-Based Mobile Offloading for Edge Computing Against Jamming and Interference

    Liang Xiao;Xiaozhen Lu;Tangwei Xu;Xiaoyue Wan

  • Learning-Based Computation Offloading for IoT Devices with Energy Harvesting

    Minghui Min;Dongjin Xu;Liang Xiao;Yuliang Tang

Frequent Co-Authors

Narayan B. Mandayam
Narayan B. Mandayam Rutgers, The State University of New Jersey
H. Vincent Poor
H. Vincent Poor Princeton University
Huaiyu Dai
Huaiyu Dai North Carolina State University
Larry J. Greenstein
Larry J. Greenstein Rutgers, The State University of New Jersey
Weihua Zhuang
Weihua Zhuang University of Waterloo
Wade Trappe
Wade Trappe Rutgers, The State University of New Jersey
Mugen Peng
Mugen Peng Beijing University of Posts and Telecommunications
Peng Ning
Peng Ning Google (United States)
Yanyong Zhang
Yanyong Zhang University of Science and Technology of China
Xiaojiang Du
Xiaojiang Du Stevens Institute of Technology

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