World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5330
World Ranking
13036
National Ranking
5249

Dong Xin 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 Dong Xin 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: 58 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Dong Xin 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 Dong Xin 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Dong Xin is a researcher affiliated with Google in the United States. Their work primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence and related subfields.

Their research contributions include a range of topics such as Topic Modeling, Biomedical Text Mining and Ontologies, Data Quality and Management, Traditional Chinese Medicine Studies, Natural Language Processing Techniques, Metabolomics and Mass Spectrometry Studies, and Speech and Dialogue Systems.

Dong Xin has published extensively, with notable papers including:

  • Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models (2024, Journal of the American Medical Informatics Association)
  • Knowledge graphs: Introduction, history, and perspectives (2022, AI Magazine)
  • PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning (2024, Journal of the American Medical Informatics Association)
  • TCMLLM-PR: evaluation of large language models for prescription recommendation in traditional Chinese medicine (2024, Digital Chinese Medicine)
  • PresRecRF: Herbal prescription recommendation via the representation fusion of large TCM semantics and molecular knowledge (2024, Phytomedicine)

Frequent co-authors collaborating with Dong Xin include Xuezhong Zhou, Zhaojiang Lin, Kuo Yang, Seungwhan Moon, and Xinpeng Song.

The researcher's works are often published in venues such as:

  • arXiv (Cornell University)
  • Journal of the American Medical Informatics Association
  • AI Magazine
  • Digital Chinese Medicine
  • Phytomedicine

Dong Xin's scholarly focus integrates aspects of Artificial Intelligence with applications in bioinformatics and traditional medicine, reflecting a multidisciplinary approach that combines computational techniques with domain-specific knowledge.

Best Publications

  • Frequent pattern mining: current status and future directions

    Jiawei Han;Hong Cheng;Dong Xin;Xifeng Yan

  • Mining compressed frequent-pattern sets

    Dong Xin;Jiawei Han;Xifeng Yan;Hong Cheng

  • Summarizing itemset patterns: a profile-based approach

    Xifeng Yan;Hong Cheng;Jiawei Han;Dong Xin

  • Star-cubing: computing iceberg cubes by top-down and bottom-up integration

    Dong Xin;Jiawei Han;Xiaolei Li;Benjamin W. Wah

  • Graph cube: on warehousing and OLAP multidimensional networks

    Peixiang Zhao;Xiaolei Li;Dong Xin;Jiawei Han

  • Fast personalized PageRank on MapReduce

    Bahman Bahmani;Kaushik Chakrabarti;Dong Xin

  • Extracting redundancy-aware top-k patterns

    Dong Xin;Hong Cheng;Xifeng Yan;Jiawei Han

  • An efficient filter for approximate membership checking

    Kaushik Chakrabarti;Surajit Chaudhuri;Venkatesh Ganti;Dong Xin

  • Towards robust indexing for ranked queries

    Dong Xin;Chen Chen;Jiawei Han

  • Crawling deep web entity pages

    Yeye He;Dong Xin;Venkatesh Ganti;Sriram Rajaraman

  • SEISA: set expansion by iterative similarity aggregation

    Yeye He;Dong Xin

  • Progressive and selective merge: computing top-k with ad-hoc ranking functions

    Dong Xin;Jiawei Han;Kevin C. Chang

  • Ranking objects based on relationships

    Kaushik Chakrabarti;Venkatesh Ganti;Jiawei Han;Dong Xin

  • Answering top-k queries with multi-dimensional selections: the ranking cube approach

    Dong Xin;Jiawei Han;Hong Cheng;Xiaolei Li

  • Discovering interesting patterns through user's interactive feedback

    Dong Xin;Xuehua Shen;Qiaozhu Mei;Jiawei Han

  • Exploiting web search to generate synonyms for entities

    Surajit Chaudhuri;Venkatesh Ganti;Dong Xin

  • Promotion analysis in multi-dimensional space

    Tianyi Wu;Dong Xin;Qiaozhu Mei;Jiawei Han

  • C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking

    Dong Xin;Zheng Shao;Jiawei Han;Hongyan Liu

  • Keyword++: a framework to improve keyword search over entity databases

    Venkatesh Ganti;Yeye He;Dong Xin

  • Generating semantic annotations for frequent patterns with context analysis

    Qiaozhu Mei;Dong Xin;Hong Cheng;Jiawei Han

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Kaushik Chakrabarti
Kaushik Chakrabarti Microsoft (United States)
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Venkatesh Ganti
Venkatesh Ganti Microsoft (United States)
Xifeng Yan
Xifeng Yan University of California, Santa Barbara
Qiaozhu Mei
Qiaozhu Mei University of Michigan–Ann Arbor
Hongyan Liu
Hongyan Liu Peking University
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong
Kevin Chen-Chuan Chang
Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign

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