World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6512
World Ranking
8900
National Ranking
272

Hai L. Vu 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 Hai L. Vu 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: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Hai L. Vu 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 Hai L. Vu 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Hai L. Vu is affiliated with Monash University in Australia and has contributed extensively to research in engineering and social sciences, with a focus on transportation and control systems. Their work encompasses a range of subfields including transportation, control and systems engineering, automotive engineering, building and construction, and electrical and electronic engineering.

The scientist's research output covers key topics such as transportation planning and optimization, traffic control and management, traffic prediction and management techniques, transportation and mobility innovations, urban transport and accessibility, traffic and road safety, and autonomous vehicle technology and safety.

Frequent coauthors collaborating with Hai L. Vu include Nam H. Hoang, Meead Saberi, Zheng Xu, Quang-Hung Luu, and Danh T. Phan. These partnerships have contributed to a substantial body of work with multiple publications across several prominent venues.

Hai L. Vu has published extensively in venues such as the SSRN Electronic Journal, Transportation Research Part C Emerging Technologies, arXiv, IEEE Transactions on Intelligent Transportation Systems, and Swinburne Research Bank.

Selected recent papers include:

  • Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks, 2021, Nature Communications
  • Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview, 2020, Accident Analysis & Prevention
  • On-road virtual reality autonomous vehicle (VRAV) simulator: An empirical study on user experience, 2021, Transportation Research Part C Emerging Technologies
  • Multiclass dynamic system optimum solution for mixed traffic of human-driven and automated vehicles considering physical queues, 2021, Transportation Research Part B Methodological

Best Publications

  • Visualization and analysis of mapping knowledge domain of road safety studies

    Xin Zou;Wen Long Yue;Hai Le Vu

  • Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures

    Mark Mario Morando;Qingyun Tian;Long T. Truong;Hai L. Vu

  • An estimation of sensor energy consumption

    Malka N. Halgamuge;Moshe Zukerman;Kotagiri Ramamohanarao;Hai L. Vu

  • MAC Access Delay of IEEE 802.11 DCF

    T. Sakurai;H.L. Vu

  • Performance Analysis of the IEEE 802.11 MAC Protocol for DSRC Safety Applications

    M. I. Hassan;H. L. Vu;T. Sakurai

  • An effective spatial-temporal attention based neural network for traffic flow prediction

    Loan N.N. Do;Hai L. Vu;Bao Q. Vo;Zhiyuan Liu

  • Performance analyses of optical burst-switching networks

    Z. Rosberg;Hai Le Vu;M. Zukerman;M. Zukerman;J. White

  • Decentralized signal control for urban road networks

    Tung Le;Péter Kovács;Neil Walton;Hai L. Vu

  • Blocking probability for priority classes in optical burst switching networks

    Hai Le Vu;M. Zukerman

  • A multiclass microscopic model for heterogeneous platoon with vehicle-to-vehicle communication

    D. Jia;D. Ngoduy;H. L. Vu

  • Survey of neural network-based models for short-term traffic state prediction

    Loan N. N. Do;Neda Taherifar;Hai Le Vu

  • Langevin method for a continuous stochastic car-following model and its stability conditions

    D. Ngoduy;S. Lee;M. Treiber;M. Keyvan-Ekbatani

  • Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation

    Simon Stebbins;Mark Hickman;Jiwon Kim;Hai L. Vu

  • Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks.

    Homayoun Hamedmoghadam;Mahdi Jalili;Hai L. Vu;Lewi Stone

  • Collision probability in saturated IEEE 802.11 networks

    Hai Le Vu;Taka Sakurai

  • Blocking probabilities of optical burst switching networks based on reduced load fixed point approximations

    Z. Rosberg;Hai Le Vu;M. Zukerman;M. Zukerman;J. White

  • A framework for optical burst switching network design

    J. White;M. Zukerman;Hai Le Vu

  • Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization

    Tuo Mao;Adriana Simona Mihaita;Fang Chen;Hai L. Vu

  • Feature extraction and clustering analysis of highway congestion

    Tin T. Nguyen;Panchamy Krishnakumari;Simeon C. Calvert;Hai Le Vu

  • An Access Delay Model for IEEE 802.11e EDCA

    Dongxia Xu;T. Sakurai;H.L. Vu

  • On teletraffic applications to OBS

    M. Zukerman;E.W.M. Wong;Z. Rosberg;Gyu Myoung Lee

  • Modelling and performance evaluation of optical burst switched networks with deflection routing and wavelength reservation

    A. Zalesky;Hai Le Vu;Z. Rosberg;E.W.M. Wong

  • Scalable performance evaluation of a hybrid optical switch

    Hai Le Vu;A. Zalesky;E.W.M. Wong;Z. Rosberg

  • H∞ robust perimeter flow control in urban networks with partial information feedback

    Reza Mohajerpoor;Reza Mohajerpoor;Meead Saberi;Hai L. Vu;Timothy M. Garoni

Frequent Co-Authors

Moshe Zukerman
Moshe Zukerman City University of Hong Kong
Andrew Zalesky
Andrew Zalesky University of Melbourne
Lachlan L. H. Andrew
Lachlan L. H. Andrew University of Melbourne
Serge P. Hoogendoorn
Serge P. Hoogendoorn Delft University of Technology
Sammy Chan
Sammy Chan University of Hong Kong
Christopher Leckie
Christopher Leckie University of Melbourne
Hans van Lint
Hans van Lint Delft University of Technology
Stephen V. Hanly
Stephen V. Hanly Macquarie University
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Chuan Heng Foh
Chuan Heng Foh University of Surrey

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