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
94

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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