World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6939
World Ranking
11527
National Ranking
4736

Tao Yang 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 Tao Yang 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Tao Yang 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 Tao Yang 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Tao Yang is affiliated with the University of California, Santa Barbara in the United States. Their research primarily focuses on computer science, with a significant emphasis on artificial intelligence and related subfields.

Their scholarly work encompasses a variety of subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Epidemiology
  • Critical Care and Intensive Care Medicine

The main topics Tao Yang has contributed to cover:

  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Natural Language Processing Techniques
  • Text and Document Classification Technologies
  • Information Retrieval and Search Behavior
  • Algorithms and Data Compression
  • Sepsis Diagnosis and Treatment

Tao Yang has published research in multiple venues, including:

  • arXiv (Cornell University)
  • Computer Methods and Programs in Biomedicine
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Selected recent publications include:

  • "An explainable machine learning algorithm for risk factor analysis of in-hospital mortality in sepsis survivors with ICU readmission" (2021), Computer Methods and Programs in Biomedicine
  • "Multiplex Graph Neural Network for Extractive Text Summarization" (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT" (2022), Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • "Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking" (2022), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Composite Re-Ranking for Efficient Document Search with BERT" (2021), arXiv (Cornell University)

Frequent collaborators in their research work include:

  • Yifan Qiao
  • Yingrui Yang
  • Jinjin Shao
  • Shanxiu He
  • Parker Carlson

Best Publications

  • DSC: scheduling parallel tasks on an unbounded number of processors

    Tao Yang;A. Gerasoulis

  • A Comparison of Clustering Heuristics for Scheduling Directed Acyclic Graphs on Multiprocessors

    Apostolos Gerasoulis;Tao Yang

  • The Panasas ActiveScale Storage Cluster: Delivering Scalable High Bandwidth Storage

    Hong Tang;A. Gulbeden;Jingyu Zhou;W. Strathearn

  • On the granularity and clustering of directed acyclic task graphs

    A. Gerasoulis;T. Yang

  • PYRROS: static task scheduling and code generation for message passing multiprocessors

    Tao Yang;Apostolos Gerasoulis

  • SWEB: towards a scalable World Wide Web server on multicomputers

    D. Andresen;Tao Yang;V. Holmedahl;O.H. Ibarra

  • List scheduling with and without communication delays

    Tao Yang;Apostolos Gerasoulis

  • Integrated resource management for cluster-based internet services

    Kai Shen;Hong Tang;Tao Yang;Lingkun Chu

  • Similarity detection and clustering of images

    Antonino Gulli;Antonio Savona;Tao Yang;Xin Liu

  • Demand-driven service differentiation in cluster-based network servers

    Huican Zhu;Hong Tang;Tao Yang

  • Optimizing threaded MPI execution on SMP clusters

    Hong Tang;Tao Yang

  • A fast static scheduling algorithm for DAGs on an unbounded number of processors

    Tao Yang;Apostolos Gerasoulis

  • Topology-centric resource management for large scale service clusters

    Lingkun Chu;Tao Yang;Jingyu Zhou

  • Cooperative caching of dynamic content on a distributed Web server

    V. Holmedahl;B. Smith;Tao Yang

  • Class-based cache management for dynamic Web content

    H. Zhu;T. Yang

  • Systems and methods for aggregating search results

    Tao Yang;Wei Wang

  • Clustering task graphs for message passing architectures

    Apostolos Gerasoulis;Sesh Venugopal;Tao Yang

  • Exploiting result equivalence in caching dynamic web content

    Ben Smith;Anurag Acharya;Tao Yang;Huican Zhu

  • Relevancy-based database retrieval and display techniques

    Tao Yang;Wei Wang;Apostolos Gerasoulis

  • Toward a Scalable Distributed WWW Server on Workstation Clusters

    Daniel Andresen;Tao Yang;Oscar H. Ibarra

Frequent Co-Authors

Kai Shen
Kai Shen University of Rochester
Oscar H. Ibarra
Oscar H. Ibarra University of California, Santa Barbara
Xin Jin
Xin Jin South China University of Technology
Wei Zhang
Wei Zhang University of New South Wales
Terence R. Smith
Terence R. Smith University of California, Santa Barbara
Frederic T. Chong
Frederic T. Chong University of Chicago
Ricardo Bianchini
Ricardo Bianchini Microsoft (United States)
Antonio Plaza
Antonio Plaza University of Extremadura
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Yuan-Fang Wang
Yuan-Fang Wang University of California, Santa Barbara

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