World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
14465
World Ranking
3411
National Ranking
95

Ying Zhang 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 Ying Zhang 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 747 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Ying Zhang 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 Ying Zhang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Ying Zhang is affiliated with the University of Technology Sydney in Australia and has contributed extensively to the field of computer science, with a focus on various subfields including artificial intelligence, computer vision and pattern recognition, signal processing, computer networks and communications, as well as electrical and electronic engineering. Their research spans a total of 557 publications in computer science.

The scientist's work regularly addresses advanced topics such as:

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

Ying Zhang has authored papers published in several key venues, notable among them being:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • The VLDB Journal
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data

Their recent papers reflect a concentration on graph neural networks, algorithms, and financial time series among others:

  • "Graph Neural Network for Fraud Detection via Spatial-Temporal Attention", 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Maximum biclique search at billion scale", 2020, Proceedings of the VLDB Endowment
  • "Solving multi-material problems in solid mechanics using physics-informed neural networks based on domain decomposition technology", 2023, Computer Methods in Applied Mechanics and Engineering
  • "Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction", 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • "Efficient shortest path index maintenance on dynamic road networks with theoretical guarantees", 2020, Proceedings of the VLDB Endowment

Frequent collaboration partners include Xuemin Lin, Wenjie Zhang, Lu Qin, Xiaoyang Wang, and Kai Wang, indicating a collaborative research network across several topics and projects.

Best Publications

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

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

  • Selecting Stars: The k Most Representative Skyline Operator

    Xuemin Lin;Yidong Yuan;Qing Zhang;Ying Zhang

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

    Wen Li;Ying Zhang;Yifang Sun;Wei Wang

  • Identifying critical success factors in emergency management using a fuzzy DEMATEL method

    Unknown

  • 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

  • Deep Complex Networks

    Chiheb Trabelsi;Olexa Bilaniuk;Ying Zhang;Dmitriy Serdyuk

  • SRBench: a streaming RDF/SPARQL benchmark

    Ying Zhang;Pham Minh Duc;Oscar Corcho;Jean-Paul Calbimonte

  • Probabilistic skyline operator over sliding windows

    Wenjie Zhang;Xuemin Lin;Ying Zhang;Wei Wang

  • A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data

    Ying-Ying Zhang;Lei Hua;Jian Huang

  • Real-time constrained cycle detection in large dynamic graphs

    Xiafei Qiu;Wubin Cen;Zhengping Qian;You Peng

  • Probabilistic Skyline Operator over Sliding Windows

    Wenjie Zhang;Xuemin Lin;Ying Zhang;Wei Wang

  • SRS: solving c-approximate nearest neighbor queries in high dimensional euclidean space with a tiny index

    Yifang Sun;Wei Wang;Jianbin Qin;Ying Zhang

  • Graph Neural Network for Fraud Detection via Spatial-temporal Attention

    Dawei Cheng;Xiaoyang Wang;Ying Zhang;Liqing Zhang

  • Retweet Modeling Using Conditional Random Fields

    Huan-Kai Peng;Jiang Zhu;Dongzhen Piao;Rong Yan

  • Automated face swapping and its detection

    Unknown

  • When engagement meets similarity: efficient (k,r)-core computation on social networks

    Fan Zhang;Ying Zhang;Lu Qin;Wenjie Zhang

  • Continuous reverse k nearest neighbors queries in Euclidean space and in spatial networks

    Muhammad Aamir Cheema;Wenjie Zhang;Xuemin Lin;Ying Zhang

  • Detecting traffic differentiation in backbone ISPs with NetPolice

    Ying Zhang;Zhuoqing Morley Mao;Ming Zhang

  • Influence zone: Efficiently processing reverse k nearest neighbors queries

    Muhammad Aamir Cheema;Xuemin Lin;Wenjie Zhang;Ying Zhang

  • When Hierarchy Meets 2-Hop-Labeling: Efficient Shortest Distance Queries on Road Networks

    Dian Ouyang;Lu Qin;Lijun Chang;Xuemin Lin

  • A Fast Order-Based Approach for Core Maintenance

    Yikai Zhang;Jeffrey Xu Yu;Ying Zhang;Lu Qin

  • Scalable distributed subgraph enumeration

    Longbin Lai;Lu Qin;Xuemin Lin;Ying Zhang

  • AP-Tree: Efficiently support continuous spatial-keyword queries over stream

    Xiang Wang;Ying Zhang;Wenjie Zhang;Xuemin Lin

  • I/O efficient Core Graph Decomposition at web scale

    Dong Wen;Lu Qin;Ying Zhang;Xuemin Lin

  • Efficient Distance-Aware Influence Maximization in Geo-Social Networks

    Xiaoyang Wang;Ying Zhang;Wenjie Zhang;Xuemin Lin

  • Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem.

    Fan Zhang;Ying Zhang;Lu Qin;Wenjie Zhang

  • Bring Order into the Samples: A Novel Scalable Method for Influence Maximization

    Xiaoyang Wang;Ying Zhang;Wenjie Zhang;Xuemin Lin

Frequent Co-Authors

Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Wenjie Zhang
Wenjie Zhang University of New South Wales
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
Jingren Zhou
Jingren Zhou Alibaba Group (China)
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Jian Pei
Jian Pei Duke University
Defu Lian
Defu Lian University of Science and Technology of China
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University

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