World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
14472
World Ranking
3410
National Ranking
95

Jinyan 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 Jinyan 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: 301 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Jinyan 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 Jinyan 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: 59 D-Index — 77th percentile

77% 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

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Jinyan Li is affiliated with the University of Technology Sydney in Australia. Their research spans interdisciplinary fields primarily located within Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology. Their work also engages with Materials Chemistry, Electrical and Electronic Engineering, Artificial Intelligence, and Biomedical Engineering.

The scientist's thematic areas cover a broad spectrum, including:

  • Genomics and Phylogenetic Studies
  • Animal Virus Infections Studies
  • Advanced biosensing and bioanalysis techniques
  • Luminescence Properties of Advanced Materials
  • SARS-CoV-2 and COVID-19 Research
  • Aquaculture Nutrition and Growth
  • Cancer-related molecular mechanisms research

Jinyan Li has published extensively across a variety of academic journals and platforms. Frequent venues for publication include:

  • SSRN Electronic Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PubMed
  • Briefings in Bioinformatics
  • arXiv (Cornell University)

Examples of recent papers authored or co-authored by Jinyan Li highlight a range of topics relevant to current scientific challenges and materials science:

  • "Predicting the angiotensin converting enzyme 2 (ACE2) utilizing capability as the receptor of SARS-CoV-2," 2020, Microbes and Infection
  • "Inkjet printing of dopamine followed by UV light irradiation to modify mussel-inspired PVDF membrane for efficient oil-water separation," 2020, Journal of Membrane Science
  • "A Unique Protease Cleavage Site Predicted in the Spike Protein of the Novel Pneumonia Coronavirus (2019-nCoV) Potentially Related to Viral Transmissibility," 2020, Virologica Sinica
  • "Melatonin mitigates aflatoxin B1-induced liver injury via modulation of gut microbiota/intestinal FXR/liver TLR4 signaling axis in mice," 2022, Journal of Pineal Research
  • "A broadband near-infrared phosphor BaZrGe3O9:Cr3+: luminescence and application for light-emitting diodes," 2021, Inorganic Chemistry Frontiers

Their research frequently involves collaboration with other scientists. Frequent co-authors include:

  • Ye Qiu
  • Xing-Yi Ge
  • Dejian Hou
  • Yunhuan Liu
  • Jianhong Dong

Best Publications

  • Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling.

    Eng Juh Yeoh;Mary E. Ross;Sheila A. Shurtleff;W. Kent Williams

  • Efficient mining of emerging patterns: discovering trends and differences

    Guozhu Dong;Jinyan Li

  • A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns.

    Huiqing Liu;Jinyan Li;Limsoon Wong

  • CAEP: Classification by Aggregating Emerging Patterns

    Guozhu Dong;Xiuzhen Zhang;Limsoon Wong;Jinyan Li

  • AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest.

    Pratiti Bhadra;Jielu Yan;Jinyan Li;Simon Fong

  • Making use of the most expressive jumping emerging patterns for classification

    Jinyan Li;Guozhu Dong;Kotagiri Ramamohanarao

  • Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns.

    Jinyan Li;Limsoon Wong

  • Mining border descriptions of emerging patterns from dataset pairs

    Guozhu Dong;Jinyan Li

  • Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness

    Guozhu Dong;Jinyan Li

  • Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients.

    Jinyan Li;Huiqing Liu;James R. Downing;Allen Eng-Juh Yeoh

  • Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

    Chengjun Xie;Jie Zhang;Rui Li;Jinyan Li

  • Discovery of significant rules for classifying cancer diagnosis data

    Jinyan Li;Huiqing Liu;See-Kiong Ng;Limsoon Wong

  • DeEPs: A New Instance-Based Lazy Discovery and Classification System

    Jinyan Li;Guozhu Dong;Kotagiri Ramamohanarao;Limsoon Wong

  • Maximal Biclique Subgraphs and Closed Pattern Pairs of the Adjacency Matrix: A One-to-One Correspondence and Mining Algorithms

    Jinyan Li;Guimei Liu;Haiquan Li;Limsoon Wong

  • Mining statistically important equivalence classes and delta-discriminative emerging patterns

    Jinyan Li;Guimei Liu;Limsoon Wong

  • Prediction of 8-state protein secondary structures by a novel deep learning architecture

    Buzhong Zhang;Buzhong Zhang;Jinyan Li;Qiang Lü

  • Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network

    Buzhong Zhang;Buzhong Zhang;Jinyan Li;Lijun Quan;Yu Chen

  • Instance-Based Classification by Emerging Patterns

    Jinyan Li;Guozhu Dong;Kotagiri Ramamohanarao

  • The long noncoding RNA MALAT1 promotes tumor-driven angiogenesis by up-regulating pro-angiogenic gene expression

    Andrew E. Tee;Bing Liu;Renhua Song;Jinyan Li

  • Adaptive multi-objective swarm fusion for imbalanced data classification

    Jinyan Li;Simon Fong;Raymond K. Wong;Victor W. Chu

  • Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns

    Shameek Ghosh;Jinyan Li;Longbing Cao;Kotagiri Ramamohanarao

  • Emerging Patterns and Gene Expression Data

    Jinyan Li;Limsoon Wong

Frequent Co-Authors

Limsoon Wong
Limsoon Wong National University of Singapore
Guozhu Dong
Guozhu Dong Wright State University
Simon Fong
Simon Fong University of Macau
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Jiangning Song
Jiangning Song Monash University
Tao Liu
Tao Liu Pacific Northwest National Laboratory
Marcel E. Dinger
Marcel E. Dinger University of Sydney
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Michael Blumenstein
Michael Blumenstein University of Technology Sydney

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