International Journal of Data Mining and Bioinformatics

3.9k citations
623 papers · · active since 2016

Impact in

    • Bioinformatics and Genomic Networks
    • Machine Learning in Bioinformatics
    • Gene expression and cancer classification
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Gene Regulatory Network Analysis
    • Biomedical Text Mining and Ontologies

Papers in

    • Gene expression and cancer classification 204
    • Bioinformatics and Genomic Networks 175
    • Machine Learning in Bioinformatics 148
    • Genomics and Phylogenetic Studies 71
    • Biomedical Text Mining and Ontologies 62
    • Gene Regulatory Network Analysis 52
    • Protein Structure and Dynamics 52

International Journal of Data Mining and Bioinformatics

556 papers receiving 3.8k citations

Peers

International Journal of Data Mining and Bioinformatics
Comparison fields: 5 of 191
  • Molecular Biology 2.1k
  • Artificial Intelligence 949
  • Health Information Management 95
  • Computational Theory and Mathematics 346
  • Cancer Research 208
Replace IET Systems Biology with:
IET Systems Biology China
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics Germany
BioData Mining United States
Cancer Informatics United States
Frontiers in Big Data United States
Nature Computational Science United States
Patterns United States
Comparative and Functional Genomics United States
Quantitative Biology China
Algorithms for Molecular Biology United States
International Journal of Data Mining and Bioinformatics relative to IET Systems Biology China IET Systems Biology's profile →
Citations per field
00.5×1.5×1.8×
IET Systems Biology · 1×
Citations per year

Countries where authors publish in International Journal of Data Mining and Bioinformatics

Since Specialization
Citations

This map shows the geographic impact of research published in International Journal of Data Mining and Bioinformatics. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in International Journal of Data Mining and Bioinformatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Journal of Data Mining and Bioinformatics more than expected).

Fields of papers published in International Journal of Data Mining and Bioinformatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Data Mining and Bioinformatics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in International Journal of Data Mining and Bioinformatics.

About International Journal of Data Mining and Bioinformatics

The 623 papers published in International Journal of Data Mining and Bioinformatics in the last decades have received a total of 3.9k indexed citations . Papers published in International Journal of Data Mining and Bioinformatics usually cover Molecular Biology (482 papers), Medical Terminology (1 paper), Artificial Intelligence (137 papers), Computational Theory and Mathematics (64 papers) and Business and International Management (7 papers) specifically the topics of Gene expression and cancer classification (204 papers), Bioinformatics and Genomic Networks (175 papers), Machine Learning in Bioinformatics (148 papers), Genomics and Phylogenetic Studies (71 papers), Biomedical Text Mining and Ontologies (62 papers), Gene Regulatory Network Analysis (52 papers), Protein Structure and Dynamics (52 papers) and Computational Drug Discovery Methods (45 papers). The most active scholars publishing in International Journal of Data Mining and Bioinformatics are Yadong Wang, Guohua Wang, Qinghua Jiang, Shuilin Jin, Massimo Buscema, Enzo Grossi, Yu Li, Osama Ahmad Alomari, Laith Abualigah and Ahamad Tajudin Khader.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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