World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
74
Citations
18458
World Ranking
1519
National Ranking
42

Hongzhi Yin 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 Hongzhi Yin 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: 483 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Hongzhi Yin 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 Hongzhi Yin 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Hongzhi Yin is affiliated with the University of Queensland in Australia and specializes in computer science with a primary focus on artificial intelligence, information systems, and computer vision and pattern recognition. Their research encompasses several interrelated subfields, including advanced graph neural networks, recommender systems, and privacy-preserving technologies in data.

The scientist's publication record includes contributions to prestigious venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • ACM Transactions on Intelligent Systems and Technology
  • World Wide Web

Significant recent papers authored by or involving Hongzhi Yin highlight their focus on recommendation systems and representation learning. These are:

  • Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Are Graph Augmentations Necessary?, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation, 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Self-Supervised Learning for Recommender Systems: A Survey, 2023, IEEE Transactions on Knowledge and Data Engineering

Frequent collaborators include:

  • Tong Chen (117 joint publications)
  • Quoc Viet Hung Nguyen (106)
  • Zi Huang (38)
  • Junliang Yu (34)
  • Lizhen Cui (30)

The scientist's work covers a wide range of research topics, such as:

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

In addition to journal and conference contributions, Hongzhi Yin has published books with Springer Science+Business Media. These titles focus on database systems, reflecting another dimension of their research interests.

Overall, Hongzhi Yin's research integrates methodologies from artificial intelligence and information systems to address challenges in recommender systems and graph-based learning, with outputs including both theoretical developments and practical applications.

Best Publications

  • Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation

    Unknown

  • Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

    Xin Xia;Hongzhi Yin;Junliang Yu;Qinyong Wang

  • Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

    Junliang Yu;Hongzhi Yin;Jundong Li;Qinyong Wang

  • LCARS: a location-content-aware recommender system

    Hongzhi Yin;Yizhou Sun;Bin Cui;Zhiting Hu

  • Self-Supervised Learning for Recommender Systems: A Survey

    Unknown

  • Learning Graph-based POI Embedding for Location-based Recommendation

    Min Xie;Hongzhi Yin;Hao Wang;Fanjiang Xu

  • Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks

    Ruihong Qiu;Jingjing Li;Zi Huang;Hongzhi YIn

  • Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

    Tong Chen;Xue Li;Hongzhi Yin;Jun Zhang

  • Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation

    Ke Sun;Tieyun Qian;Tong Chen;Yile Liang

  • Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

    Ruihong Qiu;Zi Huang;Hongzhi Yin;Zijian Wang

  • Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation

    Hongzhi Yin;Weiqing Wang;Hao Wang;Ling Chen

  • Challenging the long tail recommendation

    Hongzhi Yin;Bin Cui;Jing Li;Junjie Yao

  • Adapting to User Interest Drift for POI Recommendation

    Hongzhi Yin;Xiaofang Zhou;Bin Cui;Hao Wang

  • LC-RNN: A deep learning model for traffic speed prediction

    Zhongjian Lv;Jiajie Xu;Jiajie Xu;Kai Zheng;Hongzhi Yin

  • XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

    Unknown

  • PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction

    Hongxu Chen;Hongzhi Yin;Weiqing Wang;Hao Wang

  • Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

    Yuandong Wang;Hongzhi Yin;Hongxu Chen;Tianyu Wo

  • Socially-Aware Self-Supervised Tri-Training for Recommendation

    Junliang Yu;Hongzhi Yin;Min Gao;Xin Xia

  • Social Influence-Based Group Representation Learning for Group Recommendation

    Hongzhi Yin;Qinyong Wang;Kai Zheng;Zhixu Li

  • Dynamic User Modeling in Social Media Systems

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Self-Supervised Graph Co-Training for Session-based Recommendation

    Xin Xia;Hongzhi Yin;Junliang Yu;Yingxia Shao

  • Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation

    Hongzhi Yin;Bin Cui;Xiaofang Zhou;Weiqing Wang

  • LCARS: A Spatial Item Recommender System

    Hongzhi Yin;Bin Cui;Yizhou Sun;Zhiting Hu

  • A temporal context-aware model for user behavior modeling in social media systems

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

    Tong Chen;Lin Wu;Xue Li;Jun Zhang

Frequent Co-Authors

Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Zi Huang
Zi Huang University of Queensland
Bin Cui
Bin Cui Peking University
Xiangliang Zhang
Xiangliang Zhang University of Notre Dame
Matthias Weidlich
Matthias Weidlich Humboldt-Universität zu Berlin
Xue Li
Xue Li University of Queensland
Shazia Sadiq
Shazia Sadiq University of Queensland
Jundong Li
Jundong Li University of Virginia
Karl Aberer
Karl Aberer École Polytechnique Fédérale de Lausanne
Zhiting Hu
Zhiting Hu University of California, San Diego

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