Idowu Aruleba

4.5k total citations
5 papers, 91 citations indexed

About

Idowu Aruleba is a scholar working on Artificial Intelligence, Accounting and Health Information Management. According to data from OpenAlex, Idowu Aruleba has authored 5 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Accounting and 2 papers in Health Information Management. Recurrent topics in Idowu Aruleba's work include Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (2 papers) and Artificial Intelligence in Healthcare (2 papers). Idowu Aruleba is often cited by papers focused on Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (2 papers) and Artificial Intelligence in Healthcare (2 papers). Idowu Aruleba collaborates with scholars based in South Africa, Canada and United Kingdom. Idowu Aruleba's co-authors include Ibomoiye Domor Mienye, George Obaido, Kehinde Aruleba, Nimibofa Ayawei, Blessing Ogbuokiri, Tayo Alex Adekiya, Raphael Taiwo Aruleba, Sydney Mambwe Kasongo, C. W. Chukwu and Oluwaseun Francis Egbelowo and has published in prestigious journals such as IEEE Access, Applied Sciences and Bioengineering.

In The Last Decade

Idowu Aruleba

4 papers receiving 85 citations

Peers

Idowu Aruleba
Alicia Curth United Kingdom
Shirly Wang Canada
Alexander Davydov Belarus
Mina Bjelogrlic Switzerland
Arash Mehrjou Switzerland
Antoine Chambaz France
Roland Roller Germany
Diana Mincu United Kingdom
Kimberly Villalobos Carballo United States
David Lloyd United Kingdom
Alicia Curth United Kingdom
Idowu Aruleba
Citations per year, relative to Idowu Aruleba Idowu Aruleba (= 1×) peers Alicia Curth

Countries citing papers authored by Idowu Aruleba

Since Specialization
Citations

This map shows the geographic impact of Idowu Aruleba's research. 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 Idowu Aruleba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Idowu Aruleba more than expected).

Fields of papers citing papers by Idowu Aruleba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Idowu Aruleba. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Idowu Aruleba. The network helps show where Idowu Aruleba may publish in the future.

Co-authorship network of co-authors of Idowu Aruleba

This figure shows the co-authorship network connecting the top 25 collaborators of Idowu Aruleba. A scholar is included among the top collaborators of Idowu Aruleba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Idowu Aruleba. Idowu Aruleba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Aruleba, Idowu & Yanxia Sun. (2025). Enhanced credit risk prediction using deep learning and SMOTE-ENN resampling. Machine Learning with Applications. 21. 100692–100692.
2.
Aruleba, Idowu & Yanxia Sun. (2025). An Improved Ensemble Method With Data Resampling for Credit Risk Prediction. IEEE Access. 13. 71275–71287. 2 indexed citations
3.
Aruleba, Idowu & Yanxia Sun. (2024). Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation. IEEE Access. 12. 115015–115025. 5 indexed citations
4.
Aruleba, Raphael Taiwo, Tayo Alex Adekiya, Nimibofa Ayawei, et al.. (2022). COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods. Bioengineering. 9(4). 153–153. 35 indexed citations
5.
Obaido, George, Blessing Ogbuokiri, Theo G. Swart, et al.. (2022). An Interpretable Machine Learning Approach for Hepatitis B Diagnosis. Applied Sciences. 12(21). 11127–11127. 49 indexed citations

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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2026