International Journal of Data Mining and Bioinformatics

3.5k citations
602 papers · · active since 1950

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 199
    • Bioinformatics and Genomic Networks 171
    • Machine Learning in Bioinformatics 143
    • Genomics and Phylogenetic Studies 69
    • Biomedical Text Mining and Ontologies 61
    • Gene Regulatory Network Analysis 51
    • Protein Structure and Dynamics 51

International Journal of Data Mining and Bioinformatics

540 papers receiving 3.4k citations

Peers

International Journal of Data Mining and Bioinformatics
Comparison fields: 5 of 194
  • Molecular Biology 2.1k
  • Artificial Intelligence 889
  • Computational Theory and Mathematics 335
  • Health Information Management 93
  • Cancer Research 211
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
Patterns United States
Nature Computational Science United States
Frontiers in Big Data United States
Comparative and Functional Genomics United States
Cancer Informatics United States
Algorithms for Molecular Biology United States
Quantitative Biology China
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 602 papers published in International Journal of Data Mining and Bioinformatics in the last decades have received a total of 3.5k indexed citations . Papers published in International Journal of Data Mining and Bioinformatics usually cover Molecular Biology (469 papers), Artificial Intelligence (134 papers), Computational Theory and Mathematics (63 papers), Medical Terminology (1 paper) and Business and International Management (7 papers) specifically the topics of Gene expression and cancer classification (199 papers), Bioinformatics and Genomic Networks (171 papers), Machine Learning in Bioinformatics (143 papers), Genomics and Phylogenetic Studies (69 papers), Biomedical Text Mining and Ontologies (61 papers), Gene Regulatory Network Analysis (51 papers), Protein Structure and Dynamics (51 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, Yu Li, Enzo Grossi, Massimo Buscema, Ahamad Tajudin Khader, Osama Ahmad Alomari and Laith Abualigah.

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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