World's Best Scientists 2026 revealed!
Jianyong Wang

Jianyong Wang

D-Index & Metrics

Computer Science

D-Index
52
Citations
18079
World Ranking
4963
National Ranking
666

Jianyong Wang 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 Jianyong Wang 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Jianyong Wang 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 Jianyong Wang 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: 52 D-Index — 65th percentile

65% 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

  • 2017 - IEEE Fellow For development of efficient data mining algorithms

Overview

Jianyong Wang is affiliated with Tsinghua University in China and has contributed extensively to computer science, particularly within artificial intelligence and related subfields. Their research spans a variety of topics, with a focus on techniques in natural language processing, machine learning, and information systems.

The scientist's recent publications include the following works:

  • Retentive Network: A Successor to Transformer for Large Language Models, 2023, arXiv (Cornell University)
  • Entity Linking Meets Deep Learning: Techniques and Solutions, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing, 2023, ACM Transactions on Information Systems
  • Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Transparent Classification with Multilayer Logical Perceptrons and Random Binarization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

The primary publication venues for Jianyong Wang include:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mechanics of Advanced Materials and Structures

Frequent co-authors associated with their work are Wei Zhang, Xiuxing Li, Wei Shen, Xiaojie Yuan, and Zeyuan Chen.

Key research fields and subfields explored include:

  • Computer Science
  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Transportation
  • Plant Science

The scientist's work addresses a range of main topics such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Text and Document Classification Technologies
  • Machine Learning in Healthcare
  • Machine Learning and Data Classification

Among the awards received, Jianyong Wang was named an IEEE Fellow in 2017 for contributions to the development of efficient data mining algorithms.

Best Publications

  • A framework for clustering evolving data streams

    Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

  • Mining sequential patterns by pattern-growth: the PrefixSpan approach

    Jian Pei;Jiawei Han;B. Mortazavi-Asl;Jianyong Wang

  • BIDE: efficient mining of frequent closed sequences

    J. Wang;J. Han

  • CLOSET+: searching for the best strategies for mining frequent closed itemsets

    Jianyong Wang;Jiawei Han;Jian Pei

  • Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions

    Wei Shen;Jianyong Wang;Jiawei Han

  • A framework for projected clustering of high dimensional data streams

    Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

  • A dirichlet multinomial mixture model-based approach for short text clustering

    Jianhua Yin;Jianyong Wang

  • EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data

    Guoliang Li;Beng Chin Ooi;Jianhua Feng;Jianyong Wang

  • Comparing stars: on approximating graph edit distance

    Zhiping Zeng;Anthony K. H. Tung;Jianyong Wang;Jianhua Feng

  • Multi-dimensional regression analysis of time-series data streams

    Yixin Chen;Guozhu Dong;Jiawei Han;Benjamin W. Wah

  • Frequent pattern mining with uncertain data

    Charu C. Aggarwal;Yan Li;Jianyong Wang;Jing Wang

  • Mining top-k frequent closed patterns without minimum support

    Jiawei Han;Jianyong Wang;Ying Lu;P. Tzvetkov

  • On demand classification of data streams

    Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

  • TFP: an efficient algorithm for mining top-k frequent closed itemsets

    Jianyong Wang;J. Han;Y. Lu;P. Tzvetkov

  • Effective keyword search for valuable lcas over xml documents

    Guoliang Li;Jianhua Feng;Jianyong Wang;Lizhu Zhou

  • LINDEN: linking named entities with knowledge base via semantic knowledge

    Wei Shen;Jianyong Wang;Ping Luo;Min Wang

  • Frequent Closed Sequence Mining without Candidate Maintenance

    Jianyong Wang;Jiawei Han;Chun Li

  • Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

    Jiawei Han;Yixin Chen;Guozhu Dong;Jian Pei

  • HARMONY: Efficiently Mining the Best Rules for Classification

    Jianyong Wang;George Karypis

  • Coherent closed quasi-clique discovery from large dense graph databases

    Zhiping Zeng;Jianyong Wang;Lizhu Zhou;George Karypis

  • Linking named entities in Tweets with knowledge base via user interest modeling

    Wei Shen;Jianyong Wang;Ping Luo;Min Wang

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Jianhua Feng
Jianhua Feng Tsinghua University
Min Wang
Min Wang Google (United States)
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
George Karypis
George Karypis University of Minnesota
Jian Pei
Jian Pei Duke University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Guozhu Dong
Guozhu Dong Wright State University
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong
Yixin Chen
Yixin Chen Washington University in St. Louis

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