Ibrahim Adeyanju

506 total citations
39 papers, 254 citations indexed

About

Ibrahim Adeyanju is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Ibrahim Adeyanju has authored 39 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Health Information Management. Recurrent topics in Ibrahim Adeyanju's work include Artificial Intelligence in Healthcare (5 papers), Natural Language Processing Techniques (4 papers) and Handwritten Text Recognition Techniques (4 papers). Ibrahim Adeyanju is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Natural Language Processing Techniques (4 papers) and Handwritten Text Recognition Techniques (4 papers). Ibrahim Adeyanju collaborates with scholars based in Nigeria, United Kingdom and United States. Ibrahim Adeyanju's co-authors include Mutiu Adesina Adegboye, David B. Olawade, Dawei Song, Udo Kruschwitz, Nicholas Aderinto, Franco Maria Nardini, Mayowa Owolabi, Onoja Akpa, Sunday O. Oladejo and Gulshan Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Cardiology and International Journal of Medical Informatics.

In The Last Decade

Ibrahim Adeyanju

33 papers receiving 233 citations

Peers

Ibrahim Adeyanju

DEP

CVPR

Jakub Gałka Poland

Gregor Rozinaj Slovakia

Sakshi Sharma India

B Natarajan India

Annette Rios Switzerland

The Duy Bui Vietnam

Subarna Tripathi United States

G. Anantha Rao India

Muhammad Aminur Rahaman Bangladesh

Jakub Gałka Poland

Ibrahim Adeyanju

91 ×0.9

33 ×0.5

DEP

88 ×1.5

CVPR

194 ×3.3

46 ×1.0

Citations per year, relative to Ibrahim Adeyanju Ibrahim Adeyanju (= 1×) peers Jakub Gałka

Countries citing papers authored by Ibrahim Adeyanju

Since Specialization

Citations

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

Fields of papers citing papers by Ibrahim Adeyanju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim Adeyanju. 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 Ibrahim Adeyanju. The network helps show where Ibrahim Adeyanju may publish in the future.

Co-authorship network of co-authors of Ibrahim Adeyanju

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Adeyanju. A scholar is included among the top collaborators of Ibrahim Adeyanju 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 Ibrahim Adeyanju. Ibrahim Adeyanju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Aderinto, Nicholas, et al.. (2025). Machine learning techniques for stroke prediction: A systematic review of algorithms, datasets, and regional gaps. International Journal of Medical Informatics. 203. 106041–106041.

Azeta, Ambrose, et al.. (2025). An Effective Machine Learning Approach for Explosive Trace Detection. 4(1). 15–29. 1 indexed citations

Olawade, David B., et al.. (2025). Optimizing stroke prediction using gated recurrent unit and feature selection in Sub-Saharan Africa. Clinical Neurology and Neurosurgery. 249. 108761–108761. 4 indexed citations

Olawade, David B., et al.. (2025). Enhancing leukemia detection in medical imaging using deep transfer learning. International Journal of Medical Informatics. 203. 106023–106023. 1 indexed citations

Aderinto, Nicholas, et al.. (2025). Enhancing Alzheimer's disease prediction using random forest: A novel framework combining backward feature elimination and ant colony optimization. Current Research in Translational Medicine. 73(4). 103526–103526. 1 indexed citations

Olawade, David B., et al.. (2025). Comparative analysis of machine learning models for coronary artery disease prediction with optimized feature selection. International Journal of Cardiology. 436. 133443–133443. 6 indexed citations

Olawade, David B., et al.. (2025). Explainable AI for Parkinson’s disease prediction: A machine learning approach with interpretable models. Current Research in Translational Medicine. 73(4). 103541–103541. 1 indexed citations

Adeyanju, Ibrahim, et al.. (2024). Prediction of Oral Cancer Using Deep Transfer Learning. 1–11.

Adeyanju, Ibrahim, et al.. (2024). Robotic Assistant for Object Recognition Using Convolutional Neural Network. SHILAP Revista de lepidopterología. 7(1). 1–13. 1 indexed citations

10.

Adeyanju, Ibrahim, et al.. (2023). Flood Image Classification using Convolutional Neural Networks. SHILAP Revista de lepidopterología. 6(2). 113–121. 1 indexed citations

11.

Adeyanju, Ibrahim, et al.. (2021). Energy Optimization Algorithm for Path Selection in Wireless Body Sensor Networks. Current Applied Science and Technology. 1 indexed citations

12.

Adeyanju, Ibrahim, et al.. (2020). Industrial Control Systems (ICS): Cyber-attacks & Security Optimization. 12(5). 31–41. 2 indexed citations

13.

Adeyanju, Ibrahim, et al.. (2019). Development of a speech controlled water tap and fan system using linear predictive coefficient for feature extraction. International Journal of Engineering & Technology. 8(4). 412–416.

14.

Adeyanju, Ibrahim. (2019). ISGL Online and Offline Character Recognition Dataset. Data Archiving and Networked Services (DANS). 1. 1 indexed citations

15.

Adeyanju, Ibrahim, et al.. (2017). A Comparative Study of Modified Principal Component Analysis and Generalized Latent Semantic Analysis Approach to Automated Marking of Theoretical-Based Exams. 4(2). 31–41. 1 indexed citations

16.

Adeyanju, Ibrahim, et al.. (2016). A modified principal component analysis approach to automated essay-type grading. 24. 94–98. 2 indexed citations

17.

Adeyanju, Ibrahim, et al.. (2013). Comparison of Machine Learning Classifiers for Recognition of Online and Offline Handwritten Digits. Journals & Books Hosting (International Knowledge Sharing Platform). 4(13). 39–47. 7 indexed citations

18.

Adeyanju, Ibrahim, et al.. (2012). Adaptation of the concept hierarchy model with search logs for query recommendation on intranets. 5–14. 7 indexed citations

19.

Adeyanju, Ibrahim, et al.. (2012). Learning from users' querying experience on intranets. 755–764. 1 indexed citations

20.

Adeyanju, Ibrahim, et al.. (2011). RGU-ISTI-Essex at TREC 2011 Session Track. Open Research Online (The Open University). 4 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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