International Journal of Data Mining and Bioinformatics

578 papers and 3.2k indexed citations i.

About

The 578 papers published in International Journal of Data Mining and Bioinformatics in the last decades have received a total of 3.2k indexed citations. Papers published in International Journal of Data Mining and Bioinformatics usually cover Molecular Biology (461 papers), Artificial Intelligence (129 papers) and Computational Theory and Mathematics (62 papers) specifically the topics of Gene expression and cancer classification (196 papers), Bioinformatics and Genomic Networks (171 papers) and Machine Learning in Bioinformatics (140 papers). The most active scholars publishing in International Journal of Data Mining and Bioinformatics are Yadong Wang, Qinghua Jiang, Shuilin Jin, Guohua Wang, Yu Li, Massimo Buscema, Enzo Grossi, Ahamad Tajudin Khader, Osama Ahmad Alomari and Fang‐Xiang Wu.

In The Last Decade

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.

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).

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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2025