Noe Elisa

513 total citations
12 papers, 207 citations indexed

About

Noe Elisa is a scholar working on Artificial Intelligence, Information Systems and Biomedical Engineering. According to data from OpenAlex, Noe Elisa has authored 12 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Biomedical Engineering. Recurrent topics in Noe Elisa's work include Artificial Immune Systems Applications (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Noe Elisa is often cited by papers focused on Artificial Immune Systems Applications (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Noe Elisa collaborates with scholars based in United Kingdom, China and Tanzania. Noe Elisa's co-authors include Longzhi Yang, Fei Chao, Yi Cao, Nitin Naik, Tossapon Boongoen, Jie Li, Xin Fu, Tom Prickett, Yanpeng Qu and Ally S. Nyamawe and has published in prestigious journals such as IEEE Access, Wireless Networks and Frontiers in Artificial Intelligence.

In The Last Decade

Noe Elisa

11 papers receiving 187 citations

Peers

Noe Elisa

IS

AI

CNC

SPS

MIS

Zhipeng Gao China

Johannes Heurix Austria

Dmitry Mouromtsev Russia

Imed Hammouda Sweden

Oluwafemi Osho Nigeria

Paulo Meirelles Brazil

Hongye Jin United States

Francesco Poggi Italy

Mrinal Kanti Baowaly Bangladesh

Corrado Moiso Italy

Zhipeng Gao China

Noe Elisa

208 ×1.6

IS

145 ×2.4

AI

51 ×1.2

CNC

12 ×0.4

SPS

35 ×1.5

MIS

Citations per year, relative to Noe Elisa Noe Elisa (= 1×) peers Zhipeng Gao

Countries citing papers authored by Noe Elisa

Since Specialization

Citations

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

Fields of papers citing papers by Noe Elisa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noe Elisa

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

All Works

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12 of 12 papers shown

1.

Elisa, Noe, et al.. (2024). Nexus of Big Data and Big Data Analytics for Managerial Business Decision-Making: A Systematic Review Analysis. 2(1). 36–58.

2.

Nyamawe, Ally S., et al.. (2024). On the Impact of Refactorings on Software Attack Surface. IEEE Access. 12. 128570–128584. 1 indexed citations

3.

Elisa, Noe, et al.. (2023). AI for Anglophone Africa: Unlocking its adoption for responsible solutions in academia-private sector. Frontiers in Artificial Intelligence. 6. 1133677–1133677. 4 indexed citations

4.

Elisa, Noe, Longzhi Yang, Fei Chao, Nitin Naik, & Tossapon Boongoen. (2023). A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity. IEEE Access. 11. 8773–8789. 19 indexed citations

5.

Elisa, Noe, Longzhi Yang, Fei Chao, & Nitin Naik. (2020). A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm. Northumbria Research Link (Northumbria University). 1–8. 3 indexed citations

6.

Elisa, Noe, Longzhi Yang, Xin Fu, & Nitin Naik. (2019). Dendritic Cell Algorithm Enhancement Using Fuzzy Inference System for Network Intrusion Detection. Northumbria Research Link (Northumbria University). 1–6. 10 indexed citations

7.

Yang, Longzhi, Jie Li, Noe Elisa, Tom Prickett, & Fei Chao. (2019). Towards Big data Governance in Cybersecurity. TeesRep (Teesside University). 3(1). 17 indexed citations

8.

Elisa, Noe, Longzhi Yang, Yanpeng Qu, & Fei Chao. (2018). A Revised Dendritic Cell Algorithm Using K-Means Clustering. Northumbria Research Link (Northumbria University). 1547–1554. 6 indexed citations

9.

Elisa, Noe. (2018). Could Machine Learning be used to address Africa’s Challenges?. International Journal of Computer Applications. 180(18). 9–12. 4 indexed citations

10.

Elisa, Noe, Longzhi Yang, Fei Chao, & Yi Cao. (2018). A framework of blockchain-based secure and privacy-preserving E-government system. Wireless Networks. 29(3). 1005–1015. 96 indexed citations

11.

Elisa, Noe, Longzhi Yang, & Nitin Naik. (2018). Dendritic Cell Algorithm with Optimised Parameters Using Genetic Algorithm. Northumbria Research Link (Northumbria University). 1–8. 19 indexed citations

12.

Elisa, Noe. (2017). Usability, Accessibility and Web Security Assessment of E-government Websites in Tanzania. International Journal of Computer Applications. 164(5). 42–48. 28 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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