Ejay Nsugbe

681 total citations
58 papers, 467 citations indexed

About

Ejay Nsugbe is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ejay Nsugbe has authored 58 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 19 papers in Cognitive Neuroscience and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ejay Nsugbe's work include EEG and Brain-Computer Interfaces (18 papers), Muscle activation and electromyography studies (14 papers) and Neuroscience and Neural Engineering (11 papers). Ejay Nsugbe is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Muscle activation and electromyography studies (14 papers) and Neuroscience and Neural Engineering (11 papers). Ejay Nsugbe collaborates with scholars based in United Kingdom, China and Mexico. Ejay Nsugbe's co-authors include Oluwarotimi Williams Samuel, Andrew Starr, Cristobal Ruiz-Cárcel, Mojisola Grace Asogbon, Guanglin Li, Ian Jennions, Mike Fraser, Jess McIntosh, Camryn L. Phillips and Ali H. Al‐Timemy and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Frontiers in Immunology.

In The Last Decade

Ejay Nsugbe

49 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ejay Nsugbe United Kingdom 14 202 152 68 62 54 58 467
Mustafa Koç Türkiye 12 223 1.1× 53 0.3× 82 1.2× 27 0.4× 66 1.2× 33 749
Wenpeng Gao China 14 165 0.8× 86 0.6× 90 1.3× 54 0.9× 9 0.2× 49 586
Laurent Peyrodie France 13 167 0.8× 109 0.7× 31 0.5× 16 0.3× 54 1.0× 62 484
Jorge Mateo Spain 13 66 0.3× 195 1.3× 57 0.8× 19 0.3× 153 2.8× 60 611
Hong Tang China 16 114 0.6× 55 0.4× 36 0.5× 17 0.3× 335 6.2× 82 868
Florent Lalys France 18 202 1.0× 59 0.4× 130 1.9× 49 0.8× 140 2.6× 32 848
Nihal Fatma Güler Türkiye 11 193 1.0× 109 0.7× 16 0.2× 61 1.0× 49 0.9× 20 419
Yixin Ma China 11 180 0.9× 51 0.3× 90 1.3× 11 0.2× 15 0.3× 36 743
Tainsong Chen Taiwan 12 172 0.9× 117 0.8× 56 0.8× 28 0.5× 64 1.2× 47 460

Countries citing papers authored by Ejay Nsugbe

Since Specialization
Citations

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

Fields of papers citing papers by Ejay Nsugbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ejay Nsugbe

This figure shows the co-authorship network connecting the top 25 collaborators of Ejay Nsugbe. A scholar is included among the top collaborators of Ejay Nsugbe 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 Ejay Nsugbe. Ejay Nsugbe 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.
Nsugbe, Ejay. (2024). Towards Unsupervised Learning Driven Intelligence for Prediction of Prostate Cancer. 2(4). 263–270. 2 indexed citations
2.
Nsugbe, Ejay, et al.. (2023). Towards an Affordable Means of Surgical Depth of Anesthesia Monitoring: An EMG-ECG-EEG Case Study. SHILAP Revista de lepidopterología. 3(3). 769–790. 3 indexed citations
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Nsugbe, Ejay, et al.. (2023). On the Use of Muscle Activation Patterns and Artificial Intelligence Methods for the Assessment of the Surgical Skills of Clinicians. SHILAP Revista de lepidopterología. 116–116. 1 indexed citations
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Nsugbe, Ejay, José Javier Reyes–Lagos, Dawn W. Adams, & Oluwarotimi Williams Samuel. (2023). On the prediction of premature births in Hispanic labour patients using uterine contractions, heart beat signals and prediction machines. Healthcare Technology Letters. 10(1-2). 11–22. 2 indexed citations
9.
Nsugbe, Ejay & Camryn L. Phillips. (2023). An insight into phantom sensation and the application of ultrasound imaging to the study of gesture motions for transhumeral prosthesis. International Journal of Biomedical Engineering and Technology. 41(3). 258–258.
10.
Reyes–Lagos, José Javier, et al.. (2023). Changes in the autonomic cardiorespiratory activity in parturient women with severe and moderate features of preeclampsia. Frontiers in Immunology. 14. 1190699–1190699. 2 indexed citations
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Nsugbe, Ejay. (2022). On optimal and varying decompositions for transradial contraction force prediction in upper-limb prosthesis. Intelligent Systems with Applications. 16. 200134–200134.
13.
Nsugbe, Ejay, et al.. (2022). A pilot on intelligence fusion for anesthesia depth prediction during surgery using frontal cortex neural oscillations. SHILAP Revista de lepidopterología. 4. 100051–100051. 2 indexed citations
14.
Asogbon, Mojisola Grace, Oluwarotimi Williams Samuel, Xiangxin Li, et al.. (2021). A linearly extendible multi-artifact removal approach for improved upper extremity EEG-based motor imagery decoding. Journal of Neural Engineering. 5 indexed citations
15.
Adams, Dawn W. & Ejay Nsugbe. (2021). Predictive Glucose Monitoring for People with Diabetes Using Wearable Sensors. MDPI (MDPI AG). 20–20. 3 indexed citations
16.
Nsugbe, Ejay, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, & Guanglin Li. (2021). Contrast of multi‐resolution analysis approach to transhumeral phantom motion decoding. CAAI Transactions on Intelligence Technology. 6(3). 360–375. 28 indexed citations
17.
Nsugbe, Ejay, Andrew Starr, Ian Jennions, & Cristobal Ruiz-Cárcel. (2018). Estimation of online particle size distribution of a particle mixture in free fall with acoustic emission. Particulate Science And Technology. 37(8). 953–963. 9 indexed citations
18.
Nsugbe, Ejay, Cristobal Ruiz-Cárcel, Andrew Starr, & Ian Jennions. (2018). Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions. Sensors. 18(3). 851–851. 24 indexed citations
19.
Nsugbe, Ejay, Andrew Starr, Peter Foote, Cristobal Ruiz-Cárcel, & Ian Jennions. (2016). Size Differentiation Of A Continuous Stream Of Particles Using Acoustic Emissions. IOP Conference Series Materials Science and Engineering. 161. 12090–12090. 21 indexed citations
20.
Nsugbe, Ejay, Andrew Starr, & Cristobal Ruiz-Cárcel. (2012). Monitoring the particle size distribution of a powder mixing process with acoustic emissions: a review. 1(1). 12 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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