World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5771
World Ranking
8953
National Ranking
276

Guanfeng 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 Guanfeng 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: 282 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Guanfeng 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 Guanfeng 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: 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

Guanfeng Liu is a researcher affiliated with Macquarie University in Australia, specializing in computer science with a focus on artificial intelligence and information systems. Their academic contributions span a range of subfields including computer vision and pattern recognition, computer networks and communications, and signal processing.

Their work is primarily centered on several key research topics:

  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Data Management and Algorithms
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Human Mobility and Location-Based Analysis

Liu has published extensively in reputable venues, with frequent appearances in:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • World Wide Web
  • Journal of Clinical Oncology
  • SSRN Electronic Journal

Notable recent papers include:

  • Privacy-Aware Traffic Flow Prediction Based on Multi-Party Sensor Data with Zero Trust in Smart City (2022), ACM Transactions on Internet Technology
  • A Unified Framework for Cross-Domain and Cross-System Recommendations (2021), IEEE Transactions on Knowledge and Data Engineering
  • Preference-aware Task Assignment in Spatial Crowdsourcing: from Individuals to Groups (2020), IEEE Transactions on Knowledge and Data Engineering
  • CTumorGAN: a unified framework for automatic computed tomography tumor segmentation (2020), European Journal of Nuclear Medicine and Molecular Imaging
  • Contrastive Learning with Bidirectional Transformers for Sequential Recommendation (2022), Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Liu has collaborated frequently with colleagues such as:

  • Pengpeng Zhao
  • Victor S. Sheng
  • Xiaofang Zhou
  • Yan Wang
  • An Liu

Best Publications

  • Feature-level Deeper Self-Attention Network for Sequential Recommendation

    Tingting Zhang;Pengpeng Zhao;Yanchi Liu;Victor S. Sheng

  • Cross-Domain Recommendation: Challenges, Progress, and Prospects

    Feng Zhu;Yan Wang;Chaochao Chen;Jun Zhou

  • DTCDR: A Framework for Dual-Target Cross-Domain Recommendation

    Feng Zhu;Chaochao Chen;Yan Wang;Guanfeng Liu

  • Finding the Optimal Social Trust Path for the Selection of Trustworthy Service Providers in Complex Social Networks

    Guanfeng Liu;Yan Wang;Mehmet A. Orgun;Ee-Peng Lim

  • A graphical and attentional framework for dual-target cross-domain recommendation

    Feng Zhu;Yan Wang;Chaochao Chen;Guanfeng Liu

  • Optimal social trust path selection in complex social networks

    Guanfeng Liu;Yan Wang;Mehmet A. Orgun

  • Efficient secure similarity computation on encrypted trajectory data

    An Liu;Kai Zhengy;Lu Liz;Guanfeng Liu

  • A Deep Framework for Cross-Domain and Cross-System Recommendations.

    Feng Zhu;Yan Wang;Chaochao Chen;Guanfeng Liu

  • A unified geometric approach to modeling and control of constrained mechanical systems

    Guanfeng Liu;Zexiang Li

  • Trust transitivity in complex social networks

    Guanfeng Liu;Yan Wang;Mehmet A. Orgun

  • Advantages and dynamics of parallel manipulators with redundant actuation

    H. Cheng;G.F. Liu;Y.K. Yiu;Z.H. Xiong

  • On quality functions for grasp synthesis, fixture planning, and coordinated manipulation

    Guanfeng Liu;Jijie Xu;Xin Wang;Zexiang Li

  • Randomized Optimal Design of Parallel Manipulators

    Yunjiang Lou;Guanfeng Liu;Zexiang Li

  • Optimal design of parallel manipulators for maximum effective regular workspace

    Yunjiang Lou;Guanfeng Liu;Ni Chen;Zexiang Li

  • Social context-aware trust inference for trust enhancement in social network based recommendations on service providers

    Yan Wang;Lei Li;Guanfeng Liu

  • Real-time grasping-force optimization for multifingered manipulation: theory and experiments

    Guanfeng Liu;Zexiang Li

  • Effective and efficient trajectory outlier detection based on time-dependent popular route

    Jie Zhu;Wei Jiang;An Liu;Guanfeng Liu

  • A Unified Framework for Cross-Domain and Cross-System Recommendations

    Feng Zhu;Yan Wang;Jun Zhou;Chaochao Chen

  • An enhanced load balancing mechanism based on deadline control on GridSim

    Yongsheng Hao;Guanfeng Liu;Na Wen

  • Multi-Constrained Graph Pattern Matching in large-scale contextual social graphs

    Guanfeng Liu;Kai Zheng;Yan Wang;Mehmet A. Orgun

  • A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks

    Guanfeng Liu;Yan Wang;Mehmet A. Orgun;Ee-Peng Lim

  • Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing

    Kai Zheng;Yan Zhao;Defu Lian;Bolong Zheng

Frequent Co-Authors

An Liu
An Liu Soochow University
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Yan Wang
Yan Wang Macquarie University
Zexiang Li
Zexiang Li Hong Kong University of Science and Technology
Mehmet A. Orgun
Mehmet A. Orgun Macquarie University
Kai Zheng
Kai Zheng University of Electronic Science and Technology of China
Qing Li
Qing Li Hong Kong Polytechnic University
Xiangliang Zhang
Xiangliang Zhang University of Notre Dame
Victor S. Sheng
Victor S. Sheng Texas Tech University
Chaochao Chen
Chaochao Chen Zhejiang University

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