Timothy Oladunni

1.0k citations

23 papers · 559 indexed · 2 hit papers · h-index 10

Co-authors: Lara Thompson Staphord Bengesi Max Denis Paul Cotae Sharad Sharma John Irungu Hoda El-Sayed Md Kamruzzaman Sarker
Topics: Housing Market and Economics (4 papers)ECG Monitoring and Analysis (3 papers)Misinformation and Its Impacts (3 papers)
Cited by: Health Informatics Artificial Intelligence Cognitive Neuroscience
Journals: Expert Systems with Applications IEEE Access International Journal of Environmental Research and Public Health
Partner nations: United States Ghana China

In The Last Decade

Timothy Oladunni

21 papers receiving 540 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset

2022 128 citations Timothy Oladunni, Max Denis et al. Expert Systems with Applications profile →
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

2024 118 citations Staphord Bengesi, Hoda El-Sayed et al. IEEE Access profile →

Peers

Countries citing papers authored by Timothy Oladunni

Since Specialization

Citations

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

Fields of papers citing papers by Timothy Oladunni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Oladunni

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Oladunni. A scholar is included among the top collaborators of Timothy Oladunni 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 Timothy Oladunni. Timothy Oladunni 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

#	Work	Indexed citations
1	Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate Versus Late Fusion 2025 ·IEEE Access ·Timothy Oladunni,(unknown)	0
2	Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformersbreakdown → 2024 ·IEEE Access ·Staphord Bengesi,Hoda El-Sayed,Md Kamruzzaman Sarker,(unknown),John Irungu,Timothy Oladunni	118
3	COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets 2023 ·International Journal of Environmental Research and Public Health ·(unknown),Timothy Oladunni,Max Denis,(unknown),Paul Cotae	11
4	ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling 2023 ·IEEE Access ·John Irungu,Timothy Oladunni,(unknown),Max Denis,(unknown),(unknown)	2
5	Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning-Natural Language Processing (NLP) Approach 2023 ·IEEE Access ·(unknown),Timothy Oladunni,(unknown),(unknown),Staphord Bengesi	23
6	A CNN Transfer Learning -Electrocardiogram (ECG) Signal Approach to Predict COVID-19 2023 ·John Irungu,Timothy Oladunni,Max Denis,(unknown),(unknown)	3
7	Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers 2023 ·arXiv (Cornell University) ·Staphord Bengesi,Hoda El-Sayed,Md Kamruzzaman Sarker,(unknown),John Irungu,Timothy Oladunni	4
8	Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter datasetbreakdown → 2022 ·Expert Systems with Applications ·(unknown),Timothy Oladunni,Max Denis,(unknown),Paul Cotae	128
9	Deep neural networks for human’s fall-risk prediction using force-plate time series signal 2021 ·Expert Systems with Applications ·(unknown),Timothy Oladunni,LuAnne Thompson	31
10	Automatic Electrocardiogram Detection of Suspected Hypertrophic Cardiomyopathy: Application to Wearable Heart Monitors 2021 ·IEEE Sensors Letters ·Max Denis,(unknown),(unknown),Timothy Oladunni	0
11	Exponential Smoothing Forecast of African Americans' COVID-19 Fatalities 2021 ·Timothy Oladunni,Max Denis,(unknown),(unknown)	1
12	A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal 2020 ·Journal of Applied Biomedicine ·(unknown),Timothy Oladunni,Lara Thompson	99
13	Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms 2020 ·Cybernetics & Systems ·(unknown),Amir Shahirinia,Nian Zhang,Timothy Oladunni	4
14	Data Augmentation for Mixed Spectral Signatures Coupled with Convolutional Neural Networks 2019 ·(unknown),Nian Zhang,(unknown),Jing Zhong,Timothy Oladunni	5
15	A Gaussian Data Augmentation Technique on Highly Dimensional, Limited Labeled Data for Multiclass Classification Using Deep Learning 2019 ·(unknown),Lily Liang,Nian Zhang,Timothy Oladunni	8
16	A Data Augmentation-Assisted Deep Learning Model for High Dimensional and Highly Imbalanced Hyperspectral Imaging Data 2019 ·(unknown),Nian Zhang,Lara Thompson,Timothy Oladunni	21
17	Homomorphic Encryption and Data Security in the Cloud 2019 ·EPiC series in computing ·Timothy Oladunni,Sharad Sharma	8
18	A Spatio - Temporal Hedonic House Regression Model 2017 ·Timothy Oladunni,Sharad Sharma,(unknown)	9
19	Hedonic Housing Theory — A Machine Learning Investigation 2016 ·Timothy Oladunni,Sharad Sharma	27
20	Spatial Dependency and Hedonic Housing Regression Model 2016 ·Timothy Oladunni,Sharad Sharma	5

About Timothy Oladunni

Timothy Oladunni is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Health, having authored 23 papers that have together received 559 indexed citations. Recurring topics across this work include Housing Market and Economics (4 papers), ECG Monitoring and Analysis (3 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Health Informatics (18 citations), Artificial Intelligence (198 citations) and Cognitive Neuroscience (96 citations). Timothy Oladunni has collaborated with scholars based in United States, Ghana and China. Frequent co-authors include Lara Thompson, Staphord Bengesi, Max Denis, Paul Cotae, Sharad Sharma, John Irungu, Hoda El-Sayed, Md Kamruzzaman Sarker, LuAnne Thompson and Nian Zhang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and International Journal of Environmental Research and Public Health.

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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