Ebenezer Esenogho

1.1k total citations · 1 hit paper
33 papers, 648 citations indexed

About

Ebenezer Esenogho is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ebenezer Esenogho has authored 33 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Ebenezer Esenogho's work include Advanced MIMO Systems Optimization (6 papers), Imbalanced Data Classification Techniques (5 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). Ebenezer Esenogho is often cited by papers focused on Advanced MIMO Systems Optimization (6 papers), Imbalanced Data Classification Techniques (5 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). Ebenezer Esenogho collaborates with scholars based in South Africa, Botswana and Nigeria. Ebenezer Esenogho's co-authors include Theo G. Swart, Ibomoiye Domor Mienye, Anish Kurien, Karim Djouani, Kehinde Aruleba, George Obaido, Kolawole Adisa Olonade, George Uwadiegwu Alaneme, C. W. Chukwu and Sydney Mambwe Kasongo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ebenezer Esenogho

24 papers receiving 615 citations

Hit Papers

A Neural Network Ensemble... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ebenezer Esenogho South Africa 11 295 125 116 94 86 33 648
Debashree Devi India 10 291 1.0× 107 0.9× 56 0.5× 44 0.5× 44 0.5× 17 412
Ibrahim M. El‐Hasnony Egypt 11 263 0.9× 36 0.3× 44 0.4× 76 0.8× 98 1.1× 31 542
Chenxi Li China 12 280 0.9× 93 0.7× 23 0.2× 21 0.2× 42 0.5× 46 467
Nasir Ayub Pakistan 16 203 0.7× 294 2.4× 14 0.1× 9 0.1× 87 1.0× 52 657
Yousef Abdi Iran 6 196 0.7× 35 0.3× 11 0.1× 27 0.3× 43 0.5× 11 368
Sinem Kulluk Türkiye 11 218 0.7× 48 0.4× 16 0.1× 12 0.1× 17 0.2× 20 398
Taj Rahman Pakistan 13 98 0.3× 197 1.6× 5 0.0× 14 0.1× 291 3.4× 31 586
Stamatios-Aggelos N. Alexandropoulos Greece 4 192 0.7× 66 0.5× 9 0.1× 16 0.2× 25 0.3× 5 396
Diego García‐Gil Spain 10 225 0.8× 29 0.2× 6 0.1× 23 0.2× 65 0.8× 18 427
Syibrah Naim Malaysia 16 269 0.9× 222 1.8× 5 0.0× 17 0.2× 46 0.5× 33 636

Countries citing papers authored by Ebenezer Esenogho

Since Specialization
Citations

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

Fields of papers citing papers by Ebenezer Esenogho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ebenezer Esenogho

This figure shows the co-authorship network connecting the top 25 collaborators of Ebenezer Esenogho. A scholar is included among the top collaborators of Ebenezer Esenogho 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 Ebenezer Esenogho. Ebenezer Esenogho 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.
Mienye, Ibomoiye Domor, et al.. (2025). Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles. SHILAP Revista de lepidopterología. 5(4). 131–131.
2.
Chukwu, C. W., et al.. (2025). Time series modeling of Monkeypox incidence in Central Africa’s endemic regions. Machine Learning with Applications. 22. 100778–100778.
3.
Esenogho, Ebenezer, et al.. (2025). Throughput and Latency Performance Evaluation of an Optical Fiber Network. Journal of Advances in Information Technology. 16(1). 71–80.
4.
Esenogho, Ebenezer, et al.. (2025). Analyzing the First-Order Statistical Properties of Vehicle-to-Vehicle Rician Fading Channel. IEEE Access. 13. 36359–36373.
5.
Mienye, Ibomoiye Domor, et al.. (2025). Large language models: an overview of foundational architectures, recent trends, and a new taxonomy. Discover Applied Sciences. 7(9).
6.
Ali, Ahmed, et al.. (2025). Second-Order Statistical Properties of Vehicle-to-Vehicle Rician Fading Channel. Telecom. 6(1). 10–10. 1 indexed citations
7.
Alaneme, George Uwadiegwu, et al.. (2024). Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete. Scientific Reports. 14(1). 26151–26151. 22 indexed citations
9.
Alaneme, George Uwadiegwu, et al.. (2024). Proposed simplified methodological approach for designing geopolymer concrete mixtures. Scientific Reports. 14(1). 15191–15191. 20 indexed citations
10.
Alaneme, George Uwadiegwu, Kolawole Adisa Olonade, & Ebenezer Esenogho. (2023). Eco-friendly agro-waste based geopolymer-concrete: a systematic review. SHILAP Revista de lepidopterología. 3(1). 36 indexed citations
11.
Swart, Theo G., et al.. (2023). Artificial Intelligence-Based Intrusion Detection and Prevention in Edge-Assisted SDWSN With Modified Honeycomb Structure. IEEE Access. 12. 3140–3175. 8 indexed citations
12.
Swart, Theo G., et al.. (2023). Design and Implementation of Intrusion Detection Systems using RPL and AOVD Protocols-based Wireless Sensor Networks. International Journal of Electronics and Telecommunications. 309–318. 6 indexed citations
13.
Swart, Theo G., et al.. (2022). A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease. Bioengineering. 9(8). 350–350. 61 indexed citations
14.
Esenogho, Ebenezer, Karim Djouani, & Anish Kurien. (2022). Integrating Artificial Intelligence Internet of Things and 5G for Next-Generation Smartgrid: A Survey of Trends Challenges and Prospect. IEEE Access. 10. 4794–4831. 121 indexed citations
15.
Esenogho, Ebenezer, et al.. (2021). Artificial neural network technique for improving prediction of credit card default: A stacked sparse autoencoder approach. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 11(5). 4392–4392. 35 indexed citations
16.
Esenogho, Ebenezer, et al.. (2021). Using Artificial Neural Network to Analyze Stego Images. Zenodo (CERN European Organization for Nuclear Research).
17.
Esenogho, Ebenezer, et al.. (2020). Integrating Enhanced Sparse Autoencoder-Based Artificial Neural Network Technique and Softmax Regression for Medical Diagnosis. Electronics. 9(11). 1963–1963. 34 indexed citations
18.
Esenogho, Ebenezer, et al.. (2020). Integrating Smartphone Network Architecture and Data Security Techniques to Mitigate Sharp Practices in Non-Profit Organizations. Journal of Communications. 755–767. 1 indexed citations
19.
Esenogho, Ebenezer, et al.. (2018). Integrating Two Feedback Queuing Discipline into Cognitive Radio Channel Aggregation. International Journal of Electronics and Telecommunications. 519–519. 2 indexed citations
20.
Esenogho, Ebenezer. (2018). Effect of an Incumbent User on Unlicensed Users Channels in Cognitive Radio Networks: An Overlay Performance Evaluation. Journal of Communications. 275–283. 3 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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