Ariyo Oluwasanmi

831 total citations
36 papers, 551 citations indexed

About

Ariyo Oluwasanmi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ariyo Oluwasanmi has authored 36 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ariyo Oluwasanmi's work include AI in cancer detection (8 papers), Photovoltaic System Optimization Techniques (6 papers) and Solar Radiation and Photovoltaics (6 papers). Ariyo Oluwasanmi is often cited by papers focused on AI in cancer detection (8 papers), Photovoltaic System Optimization Techniques (6 papers) and Solar Radiation and Photovoltaics (6 papers). Ariyo Oluwasanmi collaborates with scholars based in China, Pakistan and Vietnam. Ariyo Oluwasanmi's co-authors include Olusola Bamisile, Muhammad Umar Aftab, Zhiguang Qin, Chukwuebuka Joseph Ejiyi, Qi Huang, Sandra Obiora, Nasser Yimen, Edward Yellakuor Baagyere, Chiagoziem C. Ukwuoma and Ngo Tung Son and has published in prestigious journals such as Scientific Reports, IEEE Access and Renewable Energy.

In The Last Decade

Ariyo Oluwasanmi

36 papers receiving 532 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ariyo Oluwasanmi China 15 294 131 122 94 74 36 551
Yuling Fan China 15 312 1.1× 233 1.8× 81 0.7× 128 1.4× 33 0.4× 51 866
Eiman Tamah Al-Shammari Kuwait 11 254 0.9× 80 0.6× 110 0.9× 24 0.3× 29 0.4× 29 533
Chenxi Li China 12 280 1.0× 99 0.8× 93 0.8× 26 0.3× 9 0.1× 46 467
Sirapat Chiewchanwattana Thailand 13 393 1.3× 138 1.1× 109 0.9× 45 0.5× 9 0.1× 42 578
Lingyu Yan China 15 235 0.8× 258 2.0× 50 0.4× 13 0.1× 23 0.3× 103 689
Mayank Jain India 9 181 0.6× 73 0.6× 33 0.3× 16 0.2× 34 0.5× 37 406
Yuyan Wang United States 7 218 0.7× 49 0.4× 34 0.3× 74 0.8× 22 0.3× 30 359
Shen Li-ming China 5 231 0.8× 78 0.6× 40 0.3× 16 0.2× 32 0.4× 8 493
Sarkhel H. Taher Karim Iraq 10 297 1.0× 61 0.5× 73 0.6× 25 0.3× 56 0.8× 21 648

Countries citing papers authored by Ariyo Oluwasanmi

Since Specialization
Citations

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

Fields of papers citing papers by Ariyo Oluwasanmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariyo Oluwasanmi

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

All Works

20 of 20 papers shown
1.
Jackson, L., et al.. (2025). A patch-based deep learning framework with 5-B network for breast cancer multi-classification using histopathological images. Engineering Applications of Artificial Intelligence. 148. 110439–110439. 2 indexed citations
2.
Ukwuoma, Chiagoziem C., et al.. (2024). Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI – LIME & SHAP. Biomedical Signal Processing and Control. 100. 107014–107014. 14 indexed citations
3.
Ukwuoma, Chiagoziem C., Dongsheng Cai, Olusola Bamisile, et al.. (2024). An attention fused sequence -to-sequence convolutional neural network for accurate solar irradiance forecasting and prediction using sky images. Renewable Energy. 237. 121692–121692. 5 indexed citations
4.
Ejiyi, Chukwuebuka Joseph, et al.. (2024). Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models. Computers in Biology and Medicine. 182. 109168–109168. 11 indexed citations
5.
Ejiyi, Chukwuebuka Joseph, Zhen Qin, Chiagoziem C. Ukwuoma, et al.. (2024). A unified 2D medical image segmentation network (SegmentNet) through distance-awareness and local feature extraction. Journal of Applied Biomedicine. 44(3). 431–449. 6 indexed citations
6.
Ejiyi, Chukwuebuka Joseph, Zhen Qin, Chiagoziem C. Ukwuoma, et al.. (2024). Improved deep neural network (EnhanceNet) for real-time detection of some publicly prohibited items. Network Computation in Neural Systems. 36(4). 1940–1966. 3 indexed citations
7.
Oluwasanmi, Ariyo, Muhammad Umar Aftab, Zhiguang Qin, et al.. (2023). Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction. Sensors. 23(8). 3836–3836. 10 indexed citations
8.
Aftab, Muhammad Umar, et al.. (2022). Traditional and Hybrid Access Control Models: A Detailed Survey. Security and Communication Networks. 2022. 1–12. 10 indexed citations
9.
Monday, Happy Nkanta, Jianping Li, Grace Ugochi Nneji, et al.. (2022). A wavelet convolutional capsule network with modified super resolution generative adversarial network for fault diagnosis and classification. Complex & Intelligent Systems. 8(6). 4831–4847. 13 indexed citations
10.
Bamisile, Olusola, Dongsheng Cai, Ariyo Oluwasanmi, et al.. (2022). Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals. Scientific Reports. 12(1). 9644–9644. 29 indexed citations
11.
Oluwasanmi, Ariyo, et al.. (2021). Transfer Learning and Semisupervised Adversarial Detection and Classification of COVID‐19 in CT Images. Complexity. 2021(1). 14 indexed citations
12.
Adun, Humphrey, Olusola Bamisile, Mustapha Mukhtar, et al.. (2021). Novel Python-based “ all-regressor model ” application for photovoltaic plant-specific yield estimation and systematic analysis. Energy Sources Part A Recovery Utilization and Environmental Effects. 47(1). 7480–7498. 5 indexed citations
13.
Oluwasanmi, Ariyo, et al.. (2021). Generation and Transformation Invariant Learning for Tomato Disease Classification. 121–128. 4 indexed citations
14.
Nneji, Grace Ugochi, Jingye Cai, Jianhua Deng, et al.. (2021). A Super-Resolution Generative Adversarial Network with Siamese CNN Based on Low Quality for Breast Cancer Identification. 218–223. 11 indexed citations
15.
Monday, Happy Nkanta, et al.. (2021). The Capability of Multi Resolution Analysis: A Case Study of COVID-19 Diagnosis. 10. 236–242. 15 indexed citations
16.
Ukwuoma, Chiagoziem C., et al.. (2021). Holistic Attention on Pooling Based Cascaded Partial Decoder for Real- Time Salient Object Detection. 378–384. 2 indexed citations
17.
18.
Bamisile, Olusola, et al.. (2020). Application of deep learning for solar irradiance and solar photovoltaic multi-parameter forecast. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 13237–13257. 30 indexed citations
19.
Zhang, Fengli, et al.. (2019). Vehicle Accident and Traffic Classification Using Deep Convolutional Neural Networks. 323–328. 18 indexed citations
20.
Aftab, Muhammad Umar, Zhiguang Qin, Ariyo Oluwasanmi, et al.. (2019). Permission-Based Separation of Duty in Dynamic Role-Based Access Control Model. Symmetry. 11(5). 669–669. 20 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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