World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10567
World Ranking
6758
National Ranking
2979

Chen Li 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 Chen Li 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: 236 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Chen Li 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 Chen Li 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: 46 D-Index — 53rd percentile

53% 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

  • 2018 - ACM Distinguished Member

Overview

Chen Li is affiliated with the University of California, Irvine in the United States. Their research work primarily spans the field of Computer Science, with a focus on artificial intelligence, computer networks and communications, and cognitive neuroscience.

The scientist has contributed extensively to various subfields with 104 publications overall. Their main subfields of study include:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Cognitive Neuroscience
  • Molecular Biology
  • Computational Theory and Mathematics

Chen Li's research topics cover a diverse range of advanced computational and scientific subjects. Key topics of their work include:

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • IoT and Edge/Fog Computing
  • EEG and Brain-Computer Interfaces
  • Data Management and Algorithms
  • Advanced Database Systems and Queries
  • Natural Language Processing Techniques

The scientist has published in a variety of venues, frequently appearing in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Research Square (Research Square)
  • Proceedings of the VLDB Endowment
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Recent publications of Chen Li include:

  • "Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic," 2021, Journal of the American Medical Informatics Association
  • "Brain-Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance," 2021, Brain Sciences
  • "A new task offloading algorithm in edge computing," 2021, EURASIP Journal on Wireless Communications and Networking
  • "API Call-Based Malware Classification Using Recurrent Neural Networks," 2021, Journal of Cyber Security and Mobility
  • "Motor imagery brain-computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study," 2023, Frontiers in Human Neuroscience

Frequent collaborators of Chen Li include:

  • Yoshihiro Yamanishi
  • Sayaka Kamei
  • Yasuhiko Morimoto
  • Huidong Tang
  • Debo Cheng

Chen Li has been recognized as an ACM Distinguished Member since 2018.

Best Publications

  • Executing SQL over encrypted data in the database-service-provider model

    Hakan Hacigümüş;Bala Iyer;Chen Li;Sharad Mehrotra

  • Efficient parallel set-similarity joins using MapReduce

    Rares Vernica;Michael J. Carey;Chen Li

  • Efficient Merging and Filtering Algorithms for Approximate String Searches

    Chen Li;Jiaheng Lu;Yiming Lu

  • Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems

    R. Hariharan;B. Hore;Chen Li;S. Mehrotra

  • Efficient record linkage in large data sets

    Liang Jin;Chen Li;S. Mehrotra

  • AsterixDB: a scalable, open source BDMS

    Sattam Alsubaiee;Yasser Altowim;Hotham Altwaijry;Alexander Behm

  • Efficient interactive fuzzy keyword search

    Shengyue Ji;Guoliang Li;Chen Li;Jianhua Feng

  • VGRAM: improving performance of approximate queries on string collections using variable-length grams

    Chen Li;Bin Wang;Xiaochun Yang

  • Executing SQL over encrypted data in the database-service-provider model

    Unknown

  • Inside "Big Data management": ogres, onions, or parfaits?

    Vinayak Borkar;Michael J. Carey;Chen Li

  • Human genomes as email attachments

    Scott Christley;Yiming Lu;Chen Li;Xiaohui Xie

  • Capability based mediation in TSIMMIS

    Chen Li;Ramana Yerneni;Vasilis Vassalos;Hector Garcia-Molina

  • RIME: A replicated image detector for the World-Wide Web

    Edward Y. Chang;James Ze Wang;Chen Li;Gio Wiederhold

  • Clustering for approximate similarity search in high-dimensional spaces

    Chen Li;E. Chang;H. Garcia-Molina;G. Wiederhold

  • ASTERIX: towards a scalable, semistructured data platform for evolving-world models

    Alexander Behm;Vinayak R. Borkar;Michael J. Carey;Raman Grover

  • Efficient type-ahead search on relational data: a TASTIER approach

    Guoliang Li;Shengyue Ji;Chen Li;Jianhua Feng

  • Cost-based variable-length-gram selection for string collections to support approximate queries efficiently

    Xiaochun Yang;Bin Wang;Chen Li

  • Space-Constrained Gram-Based Indexing for Efficient Approximate String Search

    Alexander Behm;Shengyue Ji;Chen Li;Jiaheng Lu

  • Computing capabilities of mediators

    Ramana Yerneni;Chen Li;Hector Garcia-Molina;Jeffrey Ullman

  • Big data platforms: What's next?

    Vinayak R. Borkar;Michael J. Carey;Chen Li

  • Relaxing join and selection queries

    Nick Koudas;Chen Li;Anthony K. H. Tung;Rares Vernica

Frequent Co-Authors

Michael J. Carey
Michael J. Carey University of California, Irvine
Jeffrey D. Ullman
Jeffrey D. Ullman Stanford University
Sharad Mehrotra
Sharad Mehrotra University of California, Irvine
Jianhua Feng
Jianhua Feng Tsinghua University
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Gio Wiederhold
Gio Wiederhold Stanford University
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
James Z. Wang
James Z. Wang Pennsylvania State University
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside

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