World's Best Scientists 2026 revealed!
Zubair Md. Fadlullah

Zubair Md. Fadlullah

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
11100
World Ranking
3166
National Ranking
145

Computer Science

D-Index
48
Citations
11393
World Ranking
6104
National Ranking
237

Zubair Md. Fadlullah 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 Zubair Md. Fadlullah 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: 176 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Zubair Md. Fadlullah 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 Zubair Md. Fadlullah 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: 47 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Zubair Md. Fadlullah is affiliated with Lakehead University in Canada. Their research spans the fields of engineering and computer science, with a focus on electrical and electronic engineering, computer networks and communications, artificial intelligence, aerospace engineering, and computer vision and pattern recognition.

The scientist's work encompasses several specific topics, including:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • UAV Applications and Optimization
  • Cooperative Communication and Network Coding
  • IoT and Edge/Fog Computing
  • Smart Grid Security and Resilience
  • Satellite Communication Systems

Frequent publication venues for their research include:

  • IEEE Access
  • IEEE Internet of Things Journal
  • IEEE Network
  • IEEE Transactions on Vehicular Technology
  • ICC 2022 - IEEE International Conference on Communications

Notable recent papers authored or co-authored by Zubair Md. Fadlullah include:

  • DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach (2020), published in IEEE Access
  • HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks (2020), published in IEEE Transactions on Emerging Topics in Computing
  • Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning (2022), published in IEEE Communications Surveys & Tutorials
  • On Smart IoT Remote Sensing over Integrated Terrestrial-Aerial-Space Networks: An Asynchronous Federated Learning Approach (2021), published in IEEE Network
  • A Survey on Semantic Communications for Intelligent Wireless Networks (2022), published in Wireless Personal Communications

The scientist has collaborated frequently with:

  • Mostafa M. Fouda
  • Sadman Sakib
  • Nidal Nasser
  • Nei Kato
  • Mohamed I. Ibrahem

In addition to journal and conference publications, Zubair Md. Fadlullah has contributed to academic books published by Springer International Publishing and the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Titles include Combating Security Challenges in the Age of Big Data (2020) and Cognitive Radio Oriented Wireless Networks and Wireless Internet (2022).

Best Publications

  • Space-Air-Ground Integrated Network: A Survey

    Jiajia Liu;Yongpeng Shi;Zubair Md. Fadlullah;Nei Kato

  • State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

    Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao;Nei Kato

  • Toward intelligent machine-to-machine communications in smart grid

    Z M Fadlullah;M M Fouda;N Kato;A Takeuchi

  • A Lightweight Message Authentication Scheme for Smart Grid Communications

    M. M. Fouda;Z. M. Fadlullah;N. Kato;Rongxing Lu

  • The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

    Nei Kato;Zubair Md. Fadlullah;Bomin Mao;Fengxiao Tang

  • A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

    Shikhar Verma;Yuichi Kawamoto;Zubair Md. Fadlullah;Hiroki Nishiyama

  • Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

    Bomin Mao;Zubair Md. Fadlullah;Fengxiao Tang;Nei Kato

  • Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence

    Nei Kato;Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao

  • AC-POCA: Anticoordination Game Based Partially Overlapping Channels Assignment in Combined UAV and D2D-Based Networks

    Fengxiao Tang;Zubair Md. Fadlullah;Nei Kato;Fumie Ono

  • On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control

    Fengxiao Tang;Bomin Mao;Zubair Md. Fadlullah;Nei Kato

  • An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach

    Fengxiao Tang;Zubair Md. Fadlullah;Bomin Mao;Nei Kato

  • GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid

    Zubair Md. Fadlullah;Duong Minh Quan;Nei Kato;Ivan Stojmenovic

  • A dynamic trajectory control algorithm for improving the communication throughput and delay in UAV-aided networks

    Zubair Md. Fadlullah;Daisuke Takaishi;Hiroki Nishiyama;Nei Kato

  • On the Partially Overlapped Channel Assignment on Wireless Mesh Network Backbone: A Game Theoretic Approach

    P. B. F. Duarte;Z. M. Fadlullah;A. V. Vasilakos;N. Kato

  • Disaster-resilient networking: a new vision based on movable and deployable resource units

    T. Sakano;Z. M. Fadlullah;Thuan Ngo;H. Nishiyama

  • DTRAB: combating against attacks on encrypted protocols through traffic-feature analysis

    Zubair M. Fadlullah;Tarik Taleb;Athanasios V. Vasilakos;Mohsen Guizani

  • An early warning system against malicious activities for smart grid communications

    Z. M. Fadlullah;M. M. Fouda;N. Kato;Xuemin Shen

  • A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks

    Yibo Zhou;Zubair Md. Fadlullah;Bomin Mao;Nei Kato

  • DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach

    Sadman Sakib;Tahrat Tazrin;Mostafa M. Fouda;Zubair Md. Fadlullah

  • HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks

    Zubair Md. Fadlullah;Nei Kato

  • GT-CFS: A Game Theoretic Coalition Formulation Strategy for Reducing Power Loss in Micro Grids

    Chao Wei;Zubair Md. Fadlullah;Nei Kato;Akira Takeuchi

Frequent Co-Authors

Nei Kato
Nei Kato Tohoku University
Hiroki Nishiyama
Hiroki Nishiyama Tohoku University
Jiajia Liu
Jiajia Liu Northwestern Polytechnical University
Nidal Nasser
Nidal Nasser Alfaisal University
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Xuemin Shen
Xuemin Shen University of Waterloo
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Ivan Stojmenovic
Ivan Stojmenovic University of Ottawa
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence

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