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Wali Ullah Khan publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Wali Ullah Khan sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 264 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Wali Ullah Khan D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Wali Ullah Khan sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Wali Ullah Khan is affiliated with the University of Luxembourg in Luxembourg. They have contributed extensively to the fields of Engineering and Computer Science, with a primary focus on Electrical and Electronic Engineering, Aerospace Engineering, and Computer Networks and Communications. Their research spans several subfields including Artificial Intelligence and Information Systems.

The main topics of Wali Ullah Khan's research include Advanced Wireless Communication Technologies, Energy Harvesting in Wireless Networks, UAV Applications and Optimization, Satellite Communication Systems, Advanced MIMO Systems Optimization, IoT and Edge/Fog Computing, and IoT Networks and Protocols.

Frequent venues for Wali Ullah Khan's publications include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • Journal of King Saud University - Computer and Information Sciences
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access

Notable recent papers are:

  • "Swarm of UAVs for Network Management in 6G: A Technical Review" (2022, IEEE Transactions on Network and Service Management)
  • "Physical Layer Security of Cognitive Ambient Backscatter Communications for Green Internet-of-Things" (2021, IEEE Transactions on Green Communications and Networking)
  • "A Survey on STAR-RIS: Use Cases, Recent Advances, and Future Research Challenges" (2023, IEEE Internet of Things Journal)
  • "RL/DRL Meets Vehicular Task Offloading Using Edge and Vehicular Cloudlet: A Survey" (2022, IEEE Internet of Things Journal)
  • "Spectral Efficiency Optimization for Next Generation NOMA-Enabled IoT Networks" (2020, IEEE Transactions on Vehicular Technology)

Wali Ullah Khan has collaborated frequently with the following co-authors:

  • Symeon Chatzinotas
  • Manzoor Ahmed
  • Eva Lagunas
  • Asim Ihsan
  • Asad Mahmood

In addition to journal articles, Wali Ullah Khan has contributed to book publications, including two editions of "IoT as a Service" published by the Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering in 2022 and 2023.

Best Publications

  • Swarm of UAVs for Network Management in 6G: A Technical Review

    Unknown

  • A Survey on STAR-RIS: Use Cases, Recent Advances, and Future Research Challenges

    Unknown

  • Opportunities for Physical Layer Security in UAV Communication Enhanced with Intelligent Reflective Surfaces

    Unknown

  • Physical Layer Security of Cognitive Ambient Backscatter Communications for Green Internet-of-Things

    Xingwang Li;Yike Zheng;Wali Ullah Khan;Ming Zeng

  • RL/DRL Meets Vehicular Task Offloading Using Edge and Vehicular Cloudlet: A Survey

    Unknown

  • Task Offloading and Resource Allocation for IoV using 5G NR-V2X Communication

    Salman Raza;Shangguang Wang;Manzoor Ahmed;Muhammad Rizwan Anwar

  • Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

    Wali Ullah Khan;Muhammad Awais Javed;Tu N. Nguyen;Shafiullah Khan

  • Spectral Efficiency Optimization for Next Generation NOMA-Enabled IoT Networks

    Wali Ullah Khan;Ju Liu;Furqan Jameel;Vishal Sharma

  • Energy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications Under Imperfect CSI

    Unknown

  • Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks

    Wali Ullah Khan;Furqan Jameel;Tapani Ristaniemi;Shafiullah Khan

  • NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0

    Unknown

  • Efficient power allocation for NOMA-enabled IoT networks in 6G era

    Wali Ullah Khan;Furqan Jameel;Muhammad Ali Jamshed;Haris Pervaiz

  • Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks

    Unknown

  • Backscatter-Enabled NOMA for Future 6G Systems: A New Optimization Framework Under Imperfect SIC

    Wali Ullah Khan;Xingwang Li;Ming Zeng;Octavia A. Dobre

  • Energy-Efficient IRS-Aided NOMA Beamforming for 6G Wireless Communications

    Unknown

  • A survey on vehicular task offloading: Classification, issues, and challenges

    Unknown

  • Backscatter-Enabled Efficient V2X Communication With Non-Orthogonal Multiple Access

    Wali Ullah Khan;Furqan Jameel;Neeraj Kumar;Riku Jantti

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

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

  • Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach

    Unknown

  • A Survey on Semantic Communications for Intelligent Wireless Networks

    Unknown

  • Reinforcement Learning in Blockchain-Enabled IIoT Networks: A Survey of Recent Advances and Open Challenges

    Furqan Jameel;Uzair Javaid;Wali Ullah Khan;Muhammad Naveed Aman

  • Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

    Ijaz Ahmad;Inam Ullah;Wali Ullah Khan;Ateeq Ur Rehman;Ateeq Ur Rehman

  • Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

    Furqan Jameel;Wali Ullah Khan;Neeraj Kumar;Riku Jantti

  • Backscatter Sensors Communication for 6G Low-powered NOMA-enabled IoT Networks under Imperfect SIC

    Manzoor Ahmed;Wali Ullah Khan;Asim Ihsan;Xingwang Li

  • NOMA-Enabled Optimization Framework for Next-Generation Small-Cell IoV Networks Under Imperfect SIC Decoding

    Wali Ullah Khan;Xingwang Li;Asim Ihsan;Mohammad Ayoub Khan

  • Learning-based resource allocation for backscatter-aided vehicular networks

    Wali Ullah Khan;Tu N. Nguyen;Furqan Jameel;Muhammad Ali Jamshed

  • Joint Spectrum and Energy Optimization of NOMA-Enabled Small-Cell Networks With QoS Guarantee

    Wali Ullah Khan;Furqan Jameel;Xingwang Li;Muhammad Bilal

  • Optimal power allocation for NOMA-enabled D2D communication with imperfect SIC decoding

    Shanshan Yu;Wali Ullah Khan;Xiaoqing Zhang;Ju Liu

  • Energy efficiency maximization for beyond 5G NOMA-enabled heterogeneous networks

    Wali Ullah Khan;Xingwang Li;Asim Ihsan;Zain Ali

  • Secure Backscatter Communications in Multi-Cell NOMA Networks: Enabling Link Security for Massive IoT Networks

    Wali Ullah Khan;Ju Liu;Furqan Jameel;Muhammad Toaha Raza Khan

  • Towards Intelligent IoT Networks: Reinforcement Learning for Reliable Backscatter Communications

    Furqan Jameel;Wali Ullah Khan;Syed Tariq Shah;Tapani Ristaniemi

  • Multiobjective Optimization of Uplink NOMA-Enabled Vehicle-to-Infrastructure Communication

    Wali Ullah Khan;Furqan Jameel;Guftaar Ahmad Sardar Sidhu;Manzoor Ahmed

  • Efficient Power Allocation for Multi-Cell Uplink NOMA Network

    Wali Ullah Khan;Furqan Jameel;Tapani Ristaniemi;Basem M. Elhalawany

  • Secrecy Analysis and Learning-Based Optimization of Cooperative NOMA SWIPT Systems

    Furqan Jameel;Wali Ullah Khan;Zheng Chang;Tapani Ristaniemi

  • Fair power allocation in cooperative cognitive systems under NOMA transmission for future IoT networks

    Zain Ali;Wali Ullah Khan;Guftaar Ahmad Sardar Sidhu;Nimmi K

Frequent Co-Authors

Riku Jantti
Riku Jantti Aalto University
Tapani Ristaniemi
Tapani Ristaniemi University of Jyväskylä
Ming Zeng
Ming Zeng Université Laval
Neeraj Kumar
Neeraj Kumar Thapar University
Kaishun Wu
Kaishun Wu Shenzhen University
Octavia A. Dobre
Octavia A. Dobre Memorial University of Newfoundland
Theodoros A. Tsiftsis
Theodoros A. Tsiftsis University Of Thessaly
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Symeon Chatzinotas
Symeon Chatzinotas University of Luxembourg

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