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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
81
Citations
24810
World Ranking
1031
National Ranking
147

Xuemin Lin 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 Xuemin Lin 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: 513 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Xuemin Lin 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 Xuemin Lin 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: 81 D-Index — 93rd percentile

93% 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
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2016 - IEEE Fellow For contributions to algorithmic paradigms for database technology

Overview

Xuemin Lin is affiliated with the University of New South Wales in Australia. Their primary field of study is Computer Science, with a total of 470 publications. Within this domain, they focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Signal Processing.

Their research topics cover a variety of areas, with notable emphasis on:

  • Complex Network Analysis Techniques
  • Advanced Graph Neural Networks
  • Graph Theory and Algorithms
  • Data Management and Algorithms
  • Caching and Content Delivery
  • Advanced Database Systems and Queries
  • Advanced Graph Theory Research

Xuemin Lin has published extensively. Some recent notable papers include:

  • Effective and efficient community search over large heterogeneous information networks, 2020, Proceedings of the VLDB Endowment
  • Maximum biclique search at billion scale, 2020, Proceedings of the VLDB Endowment
  • Efficient (α, β)-core computation in bipartite graphs, 2020, The VLDB Journal
  • Efficient shortest path index maintenance on dynamic road networks with theoretical guarantees, 2020, Proceedings of the VLDB Endowment
  • Answering billion-scale label-constrained reachability queries within microsecond, 2020, Proceedings of the VLDB Endowment

The frequent co-authors collaborating with Xuemin Lin include:

  • Wenjie Zhang
  • Ying Zhang
  • Lu Qin
  • Kai Wang
  • Peng Cheng

The scientist's work appears primarily in several publication venues, among which the most frequent are:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Knowledge and Data Engineering
  • The VLDB Journal
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Xuemin Lin has authored book publications through established publishers such as Springer Nature and Springer Science+Business Media. Their book titles include:

  • Cohesive Subgraph Search Over Large Heterogeneous Information Networks, 2022
  • Web Information Systems and Applications, 2020

Among notable recognitions, Xuemin Lin was named an IEEE Fellow in 2016 for contributions to algorithmic paradigms for database technology.

Best Publications

  • Efficient similarity joins for near-duplicate detection

    Chuan Xiao;Wei Wang;Xuemin Lin;Jeffrey Xu Yu

  • Efficient similarity joins for near duplicate detection

    Chuan Xiao;Wei Wang;Xuemin Lin;Jeffrey Xu Yu

  • Probabilistic skylines on uncertain data

    Jian Pei;Bin Jiang;Xuemin Lin;Yidong Yuan

  • Taming verification hardness: an efficient algorithm for testing subgraph isomorphism

    Haichuan Shang;Ying Zhang;Xuemin Lin;Jeffrey Xu Yu

  • Finding Top-k Min-Cost Connected Trees in Databases

    Bolin Ding;J. Xu Yu;Shan Wang;Lu Qin

  • Selecting Stars: The k Most Representative Skyline Operator

    Xuemin Lin;Yidong Yuan;Qing Zhang;Ying Zhang

  • Spark: top-k keyword query in relational databases

    Yi Luo;Xuemin Lin;Wei Wang;Xiaofang Zhou

  • Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement

    Wen Li;Ying Zhang;Yifang Sun;Wei Wang

  • Efficient computation of the skyline cube

    Yidong Yuan;Xuemin Lin;Qing Liu;Wei Wang

  • Stabbing the sky: efficient skyline computation over sliding windows

    Xuemin Lin;Yidong Yuan;Wei Wang;Hongjun Lu

  • Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

    Yang Wang;Lin Wu;Xuemin Lin;Junbin Gao

  • Ranking queries on uncertain data: a probabilistic threshold approach

    Ming Hua;Jian Pei;Wenjie Zhang;Xuemin Lin

  • Efficient Subgraph Matching by Postponing Cartesian Products

    Fei Bi;Lijun Chang;Xuemin Lin;Lu Qin

  • A fast and effective heuristic for the feedback arc set problem

    Peter Eades;Xuemin Lin;W. F. Smyth;W. F. Smyth

  • Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search

    Chengyuan Zhang;Ying Zhang;Wenjie Zhang;Xuemin Lin

  • A survey of community search over big graphs

    Yixiang Fang;Xin Huang;Lu Qin;Ying Zhang

  • Ed-Join: an efficient algorithm for similarity joins with edit distance constraints

    Chuan Xiao;Wei Wang;Xuemin Lin

  • Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion

    Yang Wang;Wenjie Zhang;Lin Wu;Xuemin Lin

  • Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus

    Yang Wang;Xuemin Lin;Lin Wu;Wenjie Zhang

  • Top-k Set Similarity Joins

    Chuan Xiao;Wei Wang;Xuemin Lin;Haichuan Shang

  • Distance-Based Representative Skyline

    Yufei Tao;Ling Ding;Xuemin Lin;Jian Pei

Frequent Co-Authors

Wenjie Zhang
Wenjie Zhang University of New South Wales
Ying Zhang
Ying Zhang University of Technology Sydney
Lu Qin
Lu Qin University of Technology Sydney
Lijun Chang
Lijun Chang University of Sydney
Jeffrey Xu Yu
Jeffrey Xu Yu Chinese University of Hong Kong
Jian Pei
Jian Pei Duke University
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Peter Eades
Peter Eades University of Sydney
Maria E. Orlowska
Maria E. Orlowska Polish-Japanese Institute of Information Technology
Jingren Zhou
Jingren Zhou Alibaba Group (China)

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