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Kok-Lim Alvin Yau

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9894 9613 22 22 153 5002

Kok-Lim Alvin Yau publications per year

The chart shows the history of publications by Kok-Lim Alvin Yau between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kok-Lim Alvin Yau published across 18 years, from 2008 to 2025, averaging 9.6 papers a year. Output peaked at 21 publications in 2020. 27 of the 172 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2020. 2008: 2 publications 2009: 5 publications 2010: 8 publications 2011: 6 publications 2012: 5 publications 2013: 10 publications 2014: 11 publications 2015: 10 publications 2016: 4 publications 2017: 7 publications 2018: 8 publications 2019: 15 publications 2020: 21 publications 2021: 14 publications 2022: 9 publications 2023: 10 publications 2024: 13 publications 2025: 14 publications
2008 2025

172 publications in total across all disciplines

View publications per year as a table
Kok-Lim Alvin Yau: publications per year, 2008 to 2025
Year Publications
2008 2
2009 5
2010 8
2011 6
2012 5
2013 10
2014 11
2015 10
2016 4
2017 7
2018 8
2019 15
2020 21
2021 14
2022 9
2023 10
2024 13
2025 14
Total 172
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 152–161 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559 153
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 38–39 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968 39
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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 King Fahd University of Petroleum and Minerals
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

External Links

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