World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
17186
World Ranking
10436
National Ranking
4359

Dekang 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 Dekang 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: 72 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Dekang 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 Dekang 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: 37 D-Index — 27th percentile

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

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

Overview

Dekang Lin is affiliated with Google in the United States and specializes in engineering, with a particular focus on electrical and electronic engineering. Their research spans multiple subfields, including experimental and cognitive psychology, media technology, biomedical engineering, and cognitive neuroscience.

The scientist's work covers a range of topics, prominently featuring sleep and related disorders, advanced wireless communication techniques, and advanced measurement and detection methods. Additional topics include embedded systems and FPGA applications, image processing techniques and applications, sleep and wakefulness research, and paranormal experiences and beliefs.

Frequent coauthors of Dekang Lin include You-Zong Yu, Tzu-Hsien Sang, Weijie Lin, and Gregory T. Warner. Collaborative efforts with these researchers contribute to advancements in their shared fields of study.

Publications authored or coauthored by Dekang Lin cover diverse areas in engineering and technology. Notable recent papers include:

  • Application of Mathematical Modeling Based on MATLAB in Experimental Data Analysis, 2024, Procedia Computer Science
  • Fast Simulation of Coded QAM Transmission in White Gaussian Noise at Low Packet Error Rates, 2022, IEEE Open Journal of the Communications Society
  • Associations between Body Mass Index, Sleep Duration, and Reported Snoring and Sleepiness Symptoms, By Age Stratification, 2020, European Journal of Engineering and Technology Research
  • Fast Simulation of Channel-Coded MIMO-OFDM Transmission in Multipath Fading at Low Error Rates, 2024, IEEE Transactions on Communications

The European Journal of Engineering and Technology Research is a frequent venue for their publications, as well as Procedia Computer Science, IEEE Open Journal of the Communications Society, IEEE Transactions on Communications, and Radioprotection.

Best Publications

  • An Information-Theoretic Definition of Similarity

    Dekang Lin

  • Automatic Retrieval and Clustering of Similar Words

    Dekang Lin

  • Discovering word senses from text

    Patrick Pantel;Dekang Lin

  • Dependency-Based Evaluation of Minipar

    Dekang Lin

  • DIRT @SBT@discovery of inference rules from text

    Dekang Lin;Patrick Pantel

  • Discovery of inference rules for question-answering

    Dekang Lin;Patrick Pantel

  • Knowledge base completion via search-based question answering

    Robert West;Evgeniy Gabrilovich;Kevin Murphy;Shaohua Sun

  • Automatic Identification of Non-compositional Phrases

    Dekang Lin

  • Concept discovery from text

    Dekang Lin;Patrick Pantel

  • Document clustering with committees

    Patrick Pantel;Dekang Lin

  • PRINCIPLE-BASED PARSING WITHOUT OVERGENERATION

    Dekang Lin

  • A Statistical Corpus-Based Term Extractor

    Patrick Pantel;Dekang Lin

  • Bootstrapping Path-Based Pronoun Resolution

    Shane Bergsma;Dekang Lin

  • Induction of semantic classes from natural language text

    Dekang Lin;Patrick Pantel

  • SpamCop: A Spam Classification & Organisation Program

    Patrick Pantel;Dekang Lin

  • PRINCIPAR: an efficient, broad-coverage, principle-based parser

    Dekang Lin

  • Clustering by committee

    Dekang Lin;Patrick Andre Pantel

  • Names and Similarities on the Web: Fact Extraction in the Fast Lane

    Marius Paşca;Dekang Lin;Jeffrey Bigham;Andrei Lifchits

  • A Probability Model to Improve Word Alignment

    Colin Cherry;Dekang Lin

  • Web-scale N-gram models for lexical disambiguation

    Shane Bergsma;Dekang Lin;Randy Goebel

  • WordNet: An Electronic Lexical Database

    Dekang Lin

Frequent Co-Authors

Patrick Pantel
Patrick Pantel Facebook (United States)
Colin Cherry
Colin Cherry Google (Canada)
Jeffrey P. Bigham
Jeffrey P. Bigham Carnegie Mellon University
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Ming Zhou
Ming Zhou Langboat Technology

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