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Wei Liu

D-Index & Metrics

Computer Science

D-Index
31
Citations
2911
World Ranking
13782
National Ranking
409

Wei Liu 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 Wei Liu 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: 110 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Wei Liu 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 Wei Liu 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Wei Liu is affiliated with the University of Technology Sydney in Australia. Their research spans several fields within engineering and social sciences, with a primary focus on transportation and related subfields.

Their main fields of study include:

  • Engineering
  • Social Sciences

Wei Liu's subfields of study cover a variety of engineering and transportation disciplines:

  • Transportation
  • Automotive Engineering
  • Building and Construction
  • Ocean Engineering
  • Industrial and Manufacturing Engineering

The topics Wei Liu has researched extensively include:

  • Transportation Planning and Optimization
  • Transportation and Mobility Innovations
  • Smart Parking Systems Research
  • Aviation Industry Analysis and Trends
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Traffic control and management

The scientist has published in several frequent venues, demonstrating a focus on transportation and technological innovation:

  • SSRN Electronic Journal
  • Transportation Research Part C Emerging Technologies
  • Transportation Research Part B Methodological
  • arXiv (Cornell University)
  • Transportation Research Part E Logistics and Transportation Review

Wei Liu has worked collaboratively with several co-authors, often publishing multiple papers together. Frequent collaborators include:

  • Fangni Zhang
  • S. Travis Waller
  • Can Li
  • Hai Yang
  • Lina Yao

Some recent papers by Wei Liu include:

  • Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China (2020, Transport Policy)
  • A joint optimisation model for charger locating and electric bus charging scheduling considering opportunity fast charging and uncertainties (2022, Transportation Research Part C Emerging Technologies)
  • Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking (2020, Transportation Research Part C Emerging Technologies)
  • The effects of high-speed rail development on regional equity in China (2020, Transportation Research Part A Policy and Practice)
  • Parking sharing problem with spatially distributed parking supplies (2020, Transportation Research Part C Emerging Technologies)

Best Publications

  • Training deep neural networks on imbalanced data sets

    Shoujin Wang;Wei Liu;Jia Wu;Longbing Cao

  • Discovering spatio-temporal causal interactions in traffic data streams

    Wei Liu;Yu Zheng;Sanjay Chawla;Jing Yuan

  • Deployment of stationary and dynamic charging infrastructure for electric vehicles along traffic corridors

    Zhibin Chen;Wei Liu;Yafeng Yin

  • Attention-based transactional context embedding for next-item recommendation

    Shoujin Wang;Liang Hu;Longbing Cao;Xiaoshui Huang

  • On the morning commute problem with bottleneck congestion and parking space constraints

    Hai Yang;Wei Liu;Xiaolei Wang;Xiaoning Zhang

  • Class confidence weighted kNN algorithms for imbalanced data sets

    Wei Liu;Sanjay Chawla

  • A robust decision tree algorithm for imbalanced data sets

    Wei Liu;Sanjay Chawla;David A. Cieslak;Nitesh V. Chawla

  • On detection of emerging anomalous traffic patterns using GPS data

    Linsey Xiaolin Pang;Sanjay Chawla;Wei Liu;Yu Zheng

  • Expirable parking reservations for managing morning commute with parking space constraints

    Wei Liu;Hai Yang;Yafeng Yin

  • An equilibrium analysis of commuter parking in the era of autonomous vehicles

    Wei Liu

  • Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data

    Hoang Nguyen;Wei Liu;Fang Chen

  • Genomic Repeats Categorize Genes with Distinct Functions for Orchestrated Regulation.

    J. Yuyang Lu;Wen Shao;Lei Chang;Yafei Yin

  • Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach

    Wei Liu;Nikolaos Geroliminis

  • On mining anomalous patterns in road traffic streams

    Linsey Xiaolin Pang;Sanjay Chawla;Wei Liu;Yu Zheng

  • A novel permit scheme for managing parking competition and bottleneck congestion

    Wei Liu;Hai Yang;Yafeng Yin;Fangni Zhang

  • Rear Vehicle Detection and Tracking for Lane Change Assist

    Unknown

  • Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning

    Pengyi Yang;Pengyi Yang;Wei Liu;Bing Bing Zhou;Sanjay Chawla

  • A Game Theoretical Model for Adversarial Learning

    Wei Liu;Sanjay Chawla

  • High-efficiency and low-cost permanent magnet guideway consideration for high-Tc superconducting Maglev vehicle practical application

    Z Deng;J Wang;J Zheng;H Jing

  • Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment

    Xiang Zhang;Wei Liu;S. Travis Waller;Yafeng Yin

  • Spatio-temporal outlier detection in precipitation data

    Elizabeth Wu;Wei Liu;Sanjay Chawla

  • The Downs–Thomson Paradox with responsive transit service

    Fangni Zhang;Hai Yang;Wei Liu

  • Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking

    Ziyuan Gu;Ali Najmi;Meead Saberi;Wei Liu

  • Customer behavioural modelling of order cancellation in coupled ride-sourcing and taxi markets

    Xiaolei Wang;Wei Liu;Hai Yang;Dan Wang

  • Doubly dynamics for multi-modal networks with park-and-ride and adaptive pricing

    Wei Liu;Wei Liu;Nikolas Geroliminis

  • Parking sharing problem with spatially distributed parking supplies

    Fangni Zhang;Wei Liu;Xiaolei Wang;Hai Yang

  • A network traffic assignment model for autonomous vehicles with parking choices

    Xiang Zhang;Wei Liu;S. Travis Waller

  • On integrating carsharing and parking sharing services

    Sisi Jian;Wei Liu;Xiaolei Wang;Hai Yang

  • The geography of human activity and land use: a big data approach

    Wei Liu;Wenjie Wu;Piyushimita Thakuriah;Jianghao Wang

  • Interactive travel choices and traffic forecast in a doubly dynamical system with user inertia and information provision

    Wei Liu;Xinwei Li;Fangni Zhang;Hai Yang

  • Modeling and managing ridesharing in a multi-modal network with an aggregate traffic representation: A doubly dynamical approach

    Bangyang Wei;Meead Saberi;Fangni Zhang;Wei Liu

  • Evolution of tourism in a flagship protected area of China

    Wei Liu;Christine A. Vogt;Frank Lupi;Guangming He

  • Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets

    Wei Wu;Wei Wu;Fangni Zhang;Fangni Zhang;Wei Liu;Gabriel Lodewijks

Frequent Co-Authors

Hai Yang
Hai Yang Hong Kong University of Science and Technology
James Bailey
James Bailey University of Melbourne
Sanjay Chawla
Sanjay Chawla Qatar Computing Research Institute
Christopher Leckie
Christopher Leckie University of Melbourne
S. Travis Waller
S. Travis Waller University of New South Wales
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Yafeng Yin
Yafeng Yin University of Michigan–Ann Arbor
Longbing Cao
Longbing Cao University of Technology Sydney
Wei Wu
Wei Wu Wuhan University

External Links

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Best Scientists Citing Wei Liu

Yu Zheng

Yu Zheng

Jingdong (China)

Publications: 32

Hai Yang

Hai Yang

Hong Kong University of Science and Technology

Publications: 30

Hai-Jun Huang

Hai-Jun Huang

Beihang University

Publications: 29

Yafeng Yin

Yafeng Yin

University of Michigan–Ann Arbor

Publications: 14

Longbing Cao

Longbing Cao

University of Technology Sydney

Publications: 14

Xing Xie

Xing Xie

Microsoft Research Asia (China)

Publications: 13

Kozo Osamura

Kozo Osamura

Kyoto University

Publications: 10

Tian He

Tian He

University of Minnesota

Publications: 10

Battista Biggio

Battista Biggio

University of Cagliari

Publications: 10

Christopher Leckie

Christopher Leckie

University of Melbourne

Publications: 10

Tie-Qiao Tang

Tie-Qiao Tang

Beihang University

Publications: 8

Masaki Hojo

Masaki Hojo

Kyoto University

Publications: 8

William H. K. Lam

William H. K. Lam

Hong Kong Polytechnic University

Publications: 8

Fabio Roli

Fabio Roli

University of Genoa

Publications: 8

Hongzhi Yin

Hongzhi Yin

University of Queensland

Publications: 8

Sanjay Chawla

Sanjay Chawla

Qatar Computing Research Institute

Publications: 8

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