World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
6661
World Ranking
6201
National Ranking
4

Syed Ali Hassan 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 Syed Ali Hassan 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: 305 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Syed Ali Hassan 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 Syed Ali Hassan 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Syed Ali Hassan is affiliated with the National University of Sciences and Technology in Pakistan. Their research spans multiple aspects of engineering and computer science, with a focus on wireless communication technologies and network optimization.

Their main fields of study include:

  • Engineering
  • Computer Science

Within these fields, Syed Ali Hassan has concentrated in subfields such as:

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

The primary topics covered in their research are:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • UAV Applications and Optimization
  • Satellite Communication Systems
  • IoT Networks and Protocols
  • IoT and Edge/Fog Computing
  • Energy Harvesting in Wireless Networks

Syed Ali Hassan has published extensively in a variety of venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Internet of Things Journal
  • IEEE Internet of Things Magazine

Some of the recent research papers associated with Syed Ali Hassan include:

  • Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends (2021), IEEE Transactions on Industrial Informatics
  • Computation Offloading and Resource Allocation in MEC-Enabled Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement Learning Approach (2022), IEEE Transactions on Intelligent Transportation Systems
  • On Underwater Wireless Sensor Networks Routing Protocols: A Review (2020), IEEE Sensors Journal
  • Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey (2022), Journal of Network and Computer Applications
  • Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks (2022), IEEE Wireless Communications

Frequent collaborators in their research work include:

  • Haejoon Jung
  • Aamir Mahmood
  • Mikael Gidlund
  • Syed Asad Ullah
  • Shah Zeb

Best Publications

  • Machine Learning in IoT Security: Current Solutions and Future Challenges

    Fatima Hussain;Rasheed Hussain;Syed Ali Hassan;Ekram Hossain

  • Precision Agriculture Techniques and Practices: From Considerations to Applications.

    Uferah Shafi;Rafia Mumtaz;José García-Nieto;Syed Ali Hassan

  • 5G D2D Networks: Techniques, Challenges, and Future Prospects

    Rafay Iqbal Ansari;Chrysostomos Chrysostomou;Syed Ali Hassan;Mohsen Guizani

  • Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges

    Fatima Hussain;Syed Ali Hassan;Rasheed Hussain;Ekram Hossain

  • Drone-Aided Communication as a Key Enabler for 5G and Resilient Public Safety Networks

    Syed Ahsan Raza Naqvi;Syed Ali Hassan;Haris Pervaiz;Qiang Ni

  • Scalability Analysis of a LoRa Network Under Imperfect Orthogonality

    Aamir Mahmood;Emiliano Sisinni;Lakshmikanth Guntupalli;Raul Rondon

  • Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends

    Aamir Mahmood;Luca Beltramelli;Sarder Fakhrul Abedin;Shah Zeb

  • On Underwater Wireless Sensor Networks Routing Protocols: A Review

    Hashim Khan;Syed Ali Hassan;Haejoon Jung

  • Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey.

    Shah Zeb;Aamir Mahmood;Syed Ali Hassan;Md. Jalil Piran

  • Joint Subcarrier and Power Allocation in the Energy-Harvesting-Aided D2D Communication

    Umber Saleem;Sobia Jangsher;Hassaan Khaliq Qureshi;Syed Ali Hassan

  • Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks

    Sarah Basharat;Syed Ali Hassan;Aamir Mahmood;Zhiguo Ding

  • Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG

    Muhammad Sohaib J. Solaija;Sajid Saleem;Khawar Khurshid;Syed Ali Hassan

  • A Quasi-Stationary Markov Chain Model of a Cooperative Multi-Hop Linear Network

    S. A. Hassan;M. A. Ingram

  • NOMA-Enabled Backscatter Communications: Toward Battery-Free IoT Networks

    Furqan Jameel;Shah Zeb;Wali Ullah Khan;Syed Ali Hassan

  • Multiobjective Optimization in 5G Hybrid Networks

    Muhammad Shahmeer Omar;Syed Ali Hassan;Haris Pervaiz;Qiang Ni

  • Exploring Multi-Hop LoRa for Green Smart Cities

    Muhammad Shehryar Aslam;Alishba Khan;Abeera Atif;Syed Ali Hassan

  • Intelligent Resource Allocation in LoRaWAN Using Machine Learning Techniques

    Unknown

  • RSSI Fingerprinting-Based Localization Using Machine Learning in LoRa Networks

    Mahnoor Anjum;Muhammad Abdullah Khan;Syed Ali Hassan;Aamir Mahmood

  • NOMA Enhanced Backscatter Communication for Green IoT Networks

    Shah Zeb;Qamar Abbas;Syed Ali Hassan;Aamir Mahmood

  • A Deep Learning Framework Using Passive WiFi Sensing for Respiration Monitoring

    Usman Mahmood Khan;Zain Kabir;Syed Ali Hassan;Syed Hassan Ahmed

  • Analysis of RSSI Fingerprinting in LoRa Networks

    Mahnoor Anjum;Muhammad Abdullah Khan;Syed Ali Hassan;Aamir Mahmood

  • Energy Efficiency and Hover Time Optimization in UAV-Based HetNets

    Sidra Tul Muntaha;Syed Ali Hassan;Haejoon Jung;M. Shamim Hossain

  • STBC-Aided Cooperative NOMA With Timing Offsets, Imperfect Successive Interference Cancellation, and Imperfect Channel State Information

    Muhammad Waseem Akhtar;Syed Ali Hassan;Sajid Saleem;Haejoon Jung

  • A Drone-Aided Blockchain-Based Smart Vehicular Network

    Muhammad Asaad Cheema;Muhammad Karam Shehzad;Hassaan Khaliq Qureshi;Syed Ali Hassan

  • Performance analysis of hybrid 5G cellular networks exploiting mmWave capabilities in suburban areas

    Muhammad Shahmeer Omar;Muhammad Ali Anjum;Syed Ali Hassan;Haris Pervaiz

  • Energy Efficient Resource Allocation in 5G Hybrid Heterogeneous Networks: A Game Theoretic Approach

    Hamnah Munir;Syed Ali Hassan;Haris Pervaiz;Qiang Ni

Frequent Co-Authors

Mikael Gidlund
Mikael Gidlund Mid Sweden University
Qiang Ni
Qiang Ni Lancaster University
Leila Musavian
Leila Musavian University of Essex
Syed Hassan Ahmed
Syed Hassan Ahmed Georgia Southern University
Ekram Hossain
Ekram Hossain University of Manitoba
Shahid Mumtaz
Shahid Mumtaz Nottingham Trent University
Usman A. Khan
Usman A. Khan Tufts University
Rahim Tafazolli
Rahim Tafazolli University of Surrey
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London

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