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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
85
Citations
31754
World Ranking
799
National Ranking
121

Irwin King 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 Irwin King 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: 494 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Irwin King 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 Irwin King 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: 85 D-Index — 94th percentile

94% 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 China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2019 - ACM Senior Member
  • 2019 - ACM Distinguished Member
  • 2019 - IEEE Fellow For contributions to the theory and applications of machine learning in social computing

Overview

Irwin King is affiliated with the Chinese University of Hong Kong in China. Their research primarily focuses on computer science, with a substantial body of work covering various subfields such as artificial intelligence, computer vision and pattern recognition, molecular biology, information systems, and signal processing.

The scientist's publications encompass a broad range of topics, including:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Natural Language Processing Techniques
  • Recommender Systems and Techniques
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems

Irwin King's frequently published venues illustrate the dissemination channels for their work, which include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Knowledge-Based Systems

Recent significant papers authored or co-authored by Irwin King include:

  • "A Survey on Deep Semi-Supervised Learning" (2022), published in IEEE Transactions on Knowledge and Data Engineering
  • "Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Graph-Based Semi-Supervised Learning: A Comprehensive Review" (2022), published in IEEE Transactions on Neural Networks and Learning Systems
  • "A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection" (2024), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions" (2022), published in bioRxiv (Cold Spring Harbor Laboratory)

Irwin King has collaborated extensively with a number of co-authors, with frequent partnerships including:

  • Michael R. Lyu
  • Yankai Chen
  • Zenglin Xu
  • Yifei Zhang
  • Zixing Song

In addition to journal and conference publications, Irwin King has contributed to book publications. One such contribution is the book titled Neural Information Processing, published by Springer Science+Business Media in 2020.

The professional recognitions received by Irwin King include distinctions such as:

  • ACM Senior Member (2019)
  • ACM Distinguished Member (2019)
  • IEEE Fellow (2019) for contributions to the theory and applications of machine learning in social computing

Best Publications

  • Recommender systems with social regularization

    Hao Ma;Dengyong Zhou;Chao Liu;Michael R. Lyu

  • SoRec: social recommendation using probabilistic matrix factorization

    Hao Ma;Haixuan Yang;Michael R. Lyu;Irwin King

  • Learning to recommend with social trust ensemble

    Hao Ma;Irwin King;Michael R. Lyu

  • QoS-Aware Web Service Recommendation by Collaborative Filtering

    Zibin Zheng;Hao Ma;M R Lyu;I King

  • A Survey on Deep Semi-Supervised Learning

    Unknown

  • MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

    Xinyu Fu;Jiani Zhang;Ziqiao Meng;Irwin King

  • Dynamic Key-Value Memory Networks for Knowledge Tracing

    Jiani Zhang;Xingjian Shi;Irwin King;Dit-Yan Yeung

  • Fused matrix factorization with geographical and social influence in location-based social networks

    Chen Cheng;Haiqin Yang;Irwin King;Michael R. Lyu

  • Effective missing data prediction for collaborative filtering

    Hao Ma;Irwin King;Michael R. Lyu

  • WSRec: A Collaborative Filtering Based Web Service Recommender System

    Zibin Zheng;Hao Ma;Michael R. Lyu;Irwin King

  • Where you like to go next: successive point-of-interest recommendation

    Chen Cheng;Haiqin Yang;Michael R. Lyu;Irwin King

  • A Survey of Crowdsourcing Systems

    Man-Ching Yuen;Irwin King;Kwong-Sak Leung

  • Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization

    Zibin Zheng;Hao Ma;M. R. Lyu;Irwin King

  • GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

    Jiani Zhang;Xingjian Shi;Junyuan Xie;Hao Ma

  • Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

    Zenglin Xu;Irwin King;Michael Rung-Tsong Lyu;Rong Jin

  • Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering

    Tong Zhao;Julian McAuley;Irwin King

  • Ratings meet reviews, a combined approach to recommend

    Guang Ling;Michael R. Lyu;Irwin King

  • Mining social networks using heat diffusion processes for marketing candidates selection

    Hao Ma;Haixuan Yang;Michael R. Lyu;Irwin King

  • Simple and Efficient Multiple Kernel Learning by Group Lasso

    Zenglin Xu;Rong Jin;Haiqin Yang;Irwin King

  • SelFlow: Self-Supervised Learning of Optical Flow

    Pengpeng Liu;Michael Lyu;Irwin King;Jia Xu

  • Discriminative semi-supervised feature selection via manifold regularization

    Zenglin Xu;Rong Jin;Michael R. Lyu;Irwin King

Frequent Co-Authors

Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Zenglin Xu
Zenglin Xu Harbin Institute of Technology
Hao Ma
Hao Ma Facebook (United States)
Rong Jin
Rong Jin Alibaba Group (China)
Kwong-Sak Leung
Kwong-Sak Leung Chinese University of Hong Kong
Jianke Zhu
Jianke Zhu Zhejiang University
Feng Xia
Feng Xia RMIT University
Ling-Jyh Chen
Ling-Jyh Chen Academia Sinica
Huan Liu
Huan Liu Arizona State University

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