World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
19909
World Ranking
2071
National Ranking
1048

Hanghang Tong 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 Hanghang Tong 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: 360 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Hanghang Tong 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 Hanghang Tong 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: 68 D-Index — 86th percentile

86% 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

  • 2020 - ACM Distinguished Member

Overview

Hanghang Tong is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research work is primarily situated within Computer Science, with a strong emphasis on Artificial Intelligence. Other notable subfields of their scientific contributions include Statistical and Nonlinear Physics, Information Systems, Computer Vision and Pattern Recognition, and Signal Processing.

The scientist's research topics cover several advanced areas such as:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Topic Modeling
  • Recommender Systems and Techniques
  • Privacy-Preserving Technologies in Data
  • Ethics and Social Impacts of AI
  • Adversarial Robustness in Machine Learning

Hanghang Tong has published extensively in various venues. Their most frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • 2022 IEEE International Conference on Big Data (Big Data)
  • ACM Transactions on Knowledge Discovery from Data
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Among recent notable papers are:

  • Data Augmentation for Deep Graph Learning, 2022, ACM SIGKDD Explorations Newsletter
  • Graph Vulnerability and Robustness: A Survey, 2022, IEEE Transactions on Knowledge and Data Engineering
  • Trustworthy Graph Neural Networks: Aspects, Methods, and Trends, 2024, Proceedings of the IEEE
  • Nested Named Entity Recognition: A Survey, 2022, ACM Transactions on Knowledge Discovery from Data
  • Data-Driven Computational Social Science: A Survey, 2020, Big Data Research

The scientist frequently collaborates with a number of coauthors, including:

  • Jingrui He (25 joint publications)
  • Baoyu Jing (16 joint publications)
  • Jian Pei (14 joint publications)
  • Yada Zhu (14 joint publications)
  • Boxin Du (14 joint publications)

In addition to journal and conference papers, Hanghang Tong has contributed to academic books published by prominent publishers. These include:

  • Computational Approaches to the Network Science of Teams, Cambridge University Press, 2020
  • Network Connectivity, Morgan & Claypool Publishers, 2022

Hanghang Tong was recognized as an ACM Distinguished Member in 2020, reflecting their standing within the computing research community.

Best Publications

  • Graph based anomaly detection and description: a survey

    Leman Akoglu;Hanghang Tong;Danai Koutra

  • Graph convolutional networks: a comprehensive review

    Si Zhang;Hanghang Tong;Jiejun Xu;Ross Maciejewski

  • Fast Random Walk with Restart and Its Applications

    Hanghang Tong;Christos Faloutsos;Jia-yu Pan

  • Activity recognition with smartphone sensors

    Xing Su;Hanghang Tong;Ping Ji

  • RolX: structural role extraction & mining in large graphs

    Keith Henderson;Brian Gallagher;Tina Eliassi-Rad;Hanghang Tong

  • Manifold-ranking based image retrieval

    Jingrui He;Mingjing Li;Hong-Jiang Zhang;Hanghang Tong

  • Random walk with restart: fast solutions and applications

    Hanghang Tong;Christos Faloutsos;Jia-Yu Pan

  • Blur detection for digital images using wavelet transform

    Hanghang Tong;Mingjing Li;Hongjiang Zhang;Changshui Zhang

  • Center-piece subgraphs: problem definition and fast solutions

    Hanghang Tong;Christos Faloutsos

  • Fast best-effort pattern matching in large attributed graphs

    Hanghang Tong;Christos Faloutsos;Brian Gallagher;Tina Eliassi-Rad

  • It's who you know: graph mining using recursive structural features

    Keith Henderson;Brian Gallagher;Lei Li;Leman Akoglu

  • Gelling, and melting, large graphs by edge manipulation

    Hanghang Tong;B. Aditya Prakash;Tina Eliassi-Rad;Michalis Faloutsos

  • HDMI: High-order Deep Multiplex Infomax

    Unknown

  • FINAL: Fast Attributed Network Alignment

    Si Zhang;Hanghang Tong

  • Using ghost edges for classification in sparsely labeled networks

    Brian Gallagher;Hanghang Tong;Tina Eliassi-Rad;Christos Faloutsos

  • Centralities in large networks: Algorithms and observations

    U. Kang;Spiros Papadimitriou;Jimeng Sun;Hanghang Tong

  • Virus propagation on time-varying networks: theory and immunization algorithms

    B. Aditya Prakash;Hanghang Tong;Nicholas Valler;Michalis Faloutsos

  • On the Vulnerability of Large Graphs

    Hanghang Tong;B. Aditya Prakash;Charalampos Tsourakakis;Tina Eliassi-Rad

  • Classification of digital photos taken by photographers or home users

    Hanghang Tong;Mingjing Li;Hong-Jiang Zhang;Jingrui He

  • Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection.

    Hanghang Tong;Ching Yung Lin

  • Information Spreading in Context

    Dashun Wang;Zhen Wen;Hanghang Tong;Ching-Yung Lin

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Jingrui He
Jingrui He University of Illinois at Urbana-Champaign
Nan Cao
Nan Cao Tongji University
Leman Akoglu
Leman Akoglu Carnegie Mellon University
Tina Eliassi-Rad
Tina Eliassi-Rad Northeastern University
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Jie Tang
Jie Tang Tsinghua University
Ching-Yung Lin
Ching-Yung Lin National Chi Nan University
Changshui Zhang
Changshui Zhang Tsinghua University
Mingjing Li
Mingjing Li Microsoft (United States)

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