World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5002
World Ranking
9894
National Ranking
22

Kok-Lim Alvin Yau publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kok-Lim Alvin Yau sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Kok-Lim Alvin Yau D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kok-Lim Alvin Yau sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Kok-Lim Alvin Yau is a researcher affiliated with Sunway University in Malaysia, specializing in computer science and engineering. Their work has a particular focus on computer networks and communications, electrical and electronic engineering, and artificial intelligence, with additional interests in information systems and computer vision and pattern recognition.

Their research addresses a range of topics, including:

  • Vehicular Ad Hoc Networks (VANETs)
  • IoT and Edge/Fog Computing
  • Advanced MIMO Systems Optimization
  • Traffic Prediction and Management Techniques
  • Blockchain Technology Applications and Security
  • Traffic control and management
  • Network Security and Intrusion Detection

Kok-Lim Alvin Yau has published extensively in various scientific venues. Frequent publication outlets include:

  • IEEE Access
  • Applied Sciences
  • Computers, Materials & Continua
  • IEEE Open Journal of the Computer Society
  • Sensors

Recent notable papers authored or co-authored by Kok-Lim Alvin Yau include:

  • "Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology," 2020, IEEE Access
  • "Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships," 2021, Applied Sciences
  • "Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues," 2020, IEEE Open Journal of the Computer Society (co-author)
  • "Deep Reinforcement Learning for Traffic Signal Control: A Review," 2020, IEEE Access (co-author)
  • "Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks," 2020, IEEE Access (co-author)

Throughout their career, Kok-Lim Alvin Yau has collaborated frequently with other researchers. Prominent collaborators include:

  • Celimuge Wu
  • Yung-Wey Chong
  • Rafidah Md Noor
  • Yusheng Ji
  • Xiumei Fan

Best Publications

  • Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

    Muhammad Usama;Junaid Qadir;Aunn Raza;Hunain Arif

  • Edge Computing in 5G: A Review

    Najmul Hassan;Kok-Lim Alvin Yau;Celimuge Wu

  • Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

    Zhaoyang Du;Celimuge Wu;Tsutomu Yoshinaga;Kok-Lim Alvin Yau

  • 5G-Based Smart Healthcare Network: Architecture, Taxonomy, Challenges and Future Research Directions

    Abdul Ahad;Mohammad Tahir;Kok-Lim Alvin Yau

  • A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control

    Kok-Lim Alvin Yau;Junaid Qadir;Hooi Ling Khoo;Mee Hong Ling

  • QoS in IEEE 802.11-based wireless networks: A contemporary review

    Aqsa Malik;Junaid Qadir;Basharat Ahmad;Kok-Lim Alvin Yau

  • A Survey on Simultaneous Wireless Information and Power Transfer With Cooperative Relay and Future Challenges

    Mohammad Asif Hossain;Rafidah Md Noor;Kok-Lim Alvin Yau;Ismail Ahmedy

  • Review: Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

  • Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology

    Kok-Lim Alvin Yau;Shuhong Peng;Junaid Qadir;Yeh-Ching Low

  • Deep Reinforcement Learning for Traffic Signal Control: A Review

    Faizan Rasheed;Kok-Lim Alvin Yau;Rafidah Md. Noor;Celimuge Wu

  • Application of reinforcement learning to routing in distributed wireless networks: a review

    Hasan A. Al-Rawi;Ming Ann Ng;Kok-Lim Alvin Yau

  • Exploiting the Power of Multiplicity: A Holistic Survey of Network-Layer Multipath

    Junaid Qadir;Anwaar Ali;Kok-Lim Alvin Yau;Arjuna Sathiaseelan

  • Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks

    Mohammad Asif Hossain;Rafidah Md. Noor;Kok-Lim Alvin Yau;Saaidal Razalli Azzuhri

  • Routing Schemes in FANETs: A Survey

    Muhammad Fahad Khan;Kok-Lim Alvin Yau;Rafidah Md Noor;Muhammad Ali Imran

  • Can an Electronic Textbooks Be Part of K-12 Education?: Challenges, Technological Solutions and Open Issues

    HeeJeong Jasmine Lee;Chris Messom;Kok-Lim Alvin Yau

  • Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships

    Kok-Lim Alvin Yau;Norizan Mat Saad;Yung-Wey Chong

  • A context-aware and Intelligent Dynamic Channel Selection scheme for cognitive radio networks

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

  • Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues.

    Chunrong Peng;Celimuge Wu;Liming Gao;Jiefang Zhang

  • Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway city, Malaysia

    Faizan Rasheed;Kok-Lim Alvin Yau;Yeh-Ching Low

  • Edge computing-based joint client selection and networking scheme for federated learning in vehicular IoT

    Wugedele Bao;Celimuge Wu;Siri Guleng;Jiefang Zhang

  • Applications of Reinforcement Learning to Cognitive Radio Networks

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

  • Clustering algorithms for Cognitive Radio networks

    Kok-Lim Alvin Yau;Nordin Ramli;Wahidah Hashim;Hafizal Mohamad

  • Cognitive Radio-based Wireless Sensor Networks: Conceptual design and open issues

    Kok-Lim Alvin Yau;Peter Komisarczuk;Paul D. Teal

Frequent Co-Authors

Junaid Qadir
Junaid Qadir Information Technology University
Rafidah Md Noor
Rafidah Md Noor University of Malaya
Yusheng Ji
Yusheng Ji National Institute of Informatics
Qiang Ni
Qiang Ni Lancaster University
Ala Al-Fuqaha
Ala Al-Fuqaha Western Michigan University
Mubashir Husain Rehmani
Mubashir Husain Rehmani Munster Technological University
Amir Hussain
Amir Hussain Edinburgh Napier University
Jie Li
Jie Li Shanghai Jiao Tong University
Jon Crowcroft
Jon Crowcroft University of Cambridge
Mohammad Kamrul Hasan
Mohammad Kamrul Hasan National University of Malaysia

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