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Rasheed Omobolaji Alabi
ResearcherPublications, citations & collaboration network
Rasheed Omobolaji Alabi is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 42 works, 1,296 citations, an h-index of 15 and an i10-index of 18.
42
Works
1,296
Citations
15
h-index
18
i10-index
How has Rasheed Omobolaji Alabi's publication output changed over time?
ScholarIQpublication output · 2019–2024
Output declined50% over the shown period — from 2 works in 2019 to 1 in 2024.
2
1
2
3
2
1
201920202021202220232024
What are the most-cited papers on Rasheed Omobolaji Alabi?
ScholarIQmost cited works
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Rasheed Omobolaji Alabi, Omar Youssef, Matti Pirinen, Mohammed Elmusrati, Antti Mäkitie, Ilmo Leivo, Alhadi Almangush
Artificial Intelligence in Medicine. 2021175 CitationsOPEN ACCESS
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, Alhadi Almangush, Antti Mäkitie
Scientific Reports. 2023154 CitationsOPEN ACCESS
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Íris Sawazaki‐Calone, Luiz Paulo Kowalski, Caj Haglund, Ricardo D. Coletta, Antti Mäkitie, Tuula Salo, Alhadi Almangush, Ilmo Leivo
International Journal of Medical Informatics. 2019135 CitationsOPEN ACCESS
Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Íris Sawazaki‐Calone, Luiz Paulo Kowalski, Caj Haglund, Ricardo D. Coletta, Antti Mäkitie, Tuula Salo, Ilmo Leivo, Alhadi Almangush
Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 2019108 CitationsOPEN ACCESS
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer
Rasheed Omobolaji Alabi, Antti Mäkitie, Matti Pirinen, Mohammed Elmusrati, Ilmo Leivo, Alhadi Almangush
International Journal of Medical Informatics. 202094 CitationsOPEN ACCESS
Related on ScholarIQ
University of Helsinki
Institution
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Paper
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP
Paper
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer
Paper
Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool
Paper
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer
Paper