Ebuka Ibeke

631 total citations
24 papers, 353 citations indexed

About

Ebuka Ibeke is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ebuka Ibeke has authored 24 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Ebuka Ibeke's work include Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers) and COVID-19 epidemiological studies (2 papers). Ebuka Ibeke is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers) and COVID-19 epidemiological studies (2 papers). Ebuka Ibeke collaborates with scholars based in United Kingdom, India and China. Ebuka Ibeke's co-authors include Celestine Iwendi, Shahab S. Band, Gautam Srivastava, Senthilkumar Mohan, Suleman Khan, Ali Ahmadian, Tiziana Ciano, Amir Mosavi, Firoz Khan and Sadia Din and has published in prestigious journals such as Scientific Reports, Sustainability and IEEE Sensors Journal.

In The Last Decade

Ebuka Ibeke

22 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ebuka Ibeke United Kingdom	10	124	94	70	52	52	24	353
Y. Ding China	6	218 1.8×	133 1.4×	70 1.0×	77 1.5×	46 0.9×	13	427
Malik Bader Alazzam Jordan	9	93 0.8×	66 0.7×	22 0.3×	92 1.8×	30 0.6×	79	384
Raja Sarath Kumar Boddu India	6	104 0.8×	63 0.7×	27 0.4×	153 2.9×	97 1.9×	16	387
G. Manikandan India	12	164 1.3×	80 0.9×	26 0.4×	32 0.6×	35 0.7×	90	452
M. Sadiq Ali Khan Pakistan	9	145 1.2×	30 0.3×	58 0.8×	97 1.9×	29 0.6×	30	383
Deepti Saraswat India	10	178 1.4×	123 1.3×	20 0.3×	107 2.1×	54 1.0×	16	524
Abdulellah A. Alaboudi Saudi Arabia	8	69 0.6×	91 1.0×	19 0.3×	91 1.8×	24 0.5×	17	397
Adil Hussain Seh India	9	103 0.8×	188 2.0×	43 0.6×	115 2.2×	14 0.3×	13	451
Mudassir Khan Saudi Arabia	12	97 0.8×	132 1.4×	26 0.4×	87 1.7×	57 1.1×	41	385
Sheikh Mohammad Idrees Norway	10	111 0.9×	193 2.1×	30 0.4×	101 1.9×	106 2.0×	19	462

Countries citing papers authored by Ebuka Ibeke

Since Specialization

Citations

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

Fields of papers citing papers by Ebuka Ibeke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ebuka Ibeke

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

Ibeke, Ebuka, et al.. (2025). Enhancing disease clustering through symptom-based analysis and large language model interpretations. Scientific Reports. 15(1). 36651–36651.

Hai, Tao, et al.. (2024). CIA Security for Internet of Vehicles and Blockchain-AI Integration. Journal of Grid Computing. 22(2). 5 indexed citations

Gulia, Preeti, et al.. (2024). A systematic review on blockchain-based access control systems in cloud environment. Journal of Cloud Computing Advances Systems and Applications. 13(1). 14 indexed citations

Ibeke, Ebuka, et al.. (2024). Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments’ carbon reduction policies. Environmental Monitoring and Assessment. 196(3). 231–231. 7 indexed citations

Ibeke, Ebuka, et al.. (2024). Machine Learning Algorithms for Stroke Risk Prediction Leveraging on Explainable Artificial Intelligence Techniques (XAI). Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 1–6. 2 indexed citations

Ibeke, Ebuka, et al.. (2024). Investigating Key Contributors to Hospital Appointment No-Shows Using Explainable AI. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 1–6.

Hai, Tao, Jincheng Zhou, Ye Lu, et al.. (2023). An archetypal determination of mobile cloud computing for emergency applications using decision tree algorithm. Journal of Cloud Computing Advances Systems and Applications. 12(1). 8 indexed citations

Ibeke, Ebuka, et al.. (2023). Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect. Sustainability. 15(4). 3212–3212. 3 indexed citations

Iwendi, Celestine, Senthilkumar Mohan, Suleman Khan, et al.. (2022). Covid-19 fake news sentiment analysis. Computers & Electrical Engineering. 101. 107967–107967. 68 indexed citations

10.

Zhou, Jincheng, Tao Hai, Dayang N. A. Jawawi, et al.. (2022). Voice spoofing countermeasure for voice replay attacks using deep learning. Journal of Cloud Computing Advances Systems and Applications. 11(1). 10 indexed citations

11.

Zhou, Jincheng, et al.. (2022). Tourism cloud management system: the impact of smart tourism. Journal of Cloud Computing Advances Systems and Applications. 11(1). 37–37. 4 indexed citations

12.

Zhou, Jincheng, et al.. (2022). Fintech application on banking stability using Big Data of an emerging economy. Journal of Cloud Computing Advances Systems and Applications. 11(1). 17 indexed citations

13.

Iwendi, Celestine, et al.. (2022). Smart Analysis of Learners Performance Using Learning Analytics for Improving Academic Progression: A Case Study Model. Sustainability. 14(6). 3378–3378. 6 indexed citations

14.

Bhattacharya, Sweta, et al.. (2021). An Optimized Machine Learning and Big Data Approach to Crime Detection. Wireless Communications and Mobile Computing. 2021(1). 14 indexed citations

15.

Suresh, P., et al.. (2021). An Artificial Intelligence-Based Quorum System for the Improvement of the Lifespan of Sensor Networks. IEEE Sensors Journal. 21(15). 17373–17385. 33 indexed citations

16.

Ibeke, Ebuka, et al.. (2021). E-learning and Covid-19 - The Nigerian experience: Challenges of teaching technical courses in tertiary institutions. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 2872. 46–51. 8 indexed citations

17.

Kamarposhti, Mehrdad Ahmadi, İlhami Çolak, Celestine Iwendi, Shahab S. Band, & Ebuka Ibeke. (2021). Optimal Coordination of PSS and SSSC Controllers in Power System Using Ant Colony Optimization Algorithm. Journal of Circuits Systems and Computers. 31(4). 30 indexed citations

18.

Wang, Dong, et al.. (2021). Tackling pandemics in smart cities using machine learning architecture. Mathematical Biosciences & Engineering. 18(6). 8444–8461. 24 indexed citations

19.

Kumar, Rajan, Firoz Khan, Sadia Din, et al.. (2021). Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction. Frontiers in Public Health. 9. 744100–744100. 52 indexed citations

20.

Jain, Sanjiv, et al.. (2021). An orchestrator for networked control systems and its application to collision avoidance in multiple mobile robots. International Journal of Engineering Systems Modelling and Simulation. 12(2/3). 103–103. 1 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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