Joseph Stephen Bassi

1.1k total citations · 2 hit papers
18 papers, 672 citations indexed

About

Joseph Stephen Bassi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Joseph Stephen Bassi has authored 18 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Joseph Stephen Bassi's work include Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (6 papers). Joseph Stephen Bassi is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (6 papers). Joseph Stephen Bassi collaborates with scholars based in Malaysia, Nigeria and Iraq. Joseph Stephen Bassi's co-authors include Emmanuel Gbenga Dada, Haruna Chiroma, Adebayọ Olusọla Adetunmbi, Shafi’i Muhammad Abdulhamid, Ban Mohammed Khammas, David Opeoluwa Oyewola, Afeez Abidemi, Muhammad Nadzir Marsono, Mosab Hamdan and Olugbenga Oluwagbemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Joseph Stephen Bassi

18 papers receiving 624 citations

Hit Papers

Machine learning for email spam filtering: review, approa... 2019 2026 2021 2023 2019 2022 100 200 300
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.

  1. Machine learning for email spam filtering: review, approaches and open research problems
    2019 316 citations Emmanuel Gbenga Dada, Joseph Stephen Bassi et al. Heliyon profile →
  2. Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems
    2022 212 citations Joseph Stephen Bassi, Emmanuel Gbenga Dada et al. Heliyon profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Stephen Bassi Malaysia 8 279 227 219 141 100 18 672
Jingchao Sun China 19 231 0.8× 241 1.1× 222 1.0× 117 0.8× 131 1.3× 43 788
Kazuhiko Kato Japan 13 245 0.9× 269 1.2× 270 1.2× 71 0.5× 45 0.5× 90 640
Songlin Chen China 14 249 0.9× 153 0.7× 249 1.1× 127 0.9× 355 3.5× 51 799
Mohit Sewak India 11 180 0.6× 101 0.4× 206 0.9× 61 0.4× 46 0.5× 24 490
Azhar M. Memon Saudi Arabia 16 141 0.5× 542 2.4× 393 1.8× 164 1.2× 72 0.7× 39 1.3k
Jiangxing Wu China 13 195 0.7× 138 0.6× 402 1.8× 49 0.3× 227 2.3× 63 660
Sen Zhao China 12 339 1.2× 80 0.4× 65 0.3× 126 0.9× 153 1.5× 45 734
Xin Peng China 11 213 0.8× 184 0.8× 204 0.9× 65 0.5× 235 2.4× 48 605
Jingguo Ge China 13 377 1.4× 139 0.6× 517 2.4× 49 0.3× 154 1.5× 61 780
Peng Zhao China 18 149 0.5× 226 1.0× 467 2.1× 99 0.7× 334 3.3× 74 882

Countries citing papers authored by Joseph Stephen Bassi

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Stephen Bassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Stephen Bassi. 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 Joseph Stephen Bassi. The network helps show where Joseph Stephen Bassi may publish in the future.

Co-authorship network of co-authors of Joseph Stephen Bassi

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

All Works

18 of 18 papers shown
1.
Bassi, Joseph Stephen, Emmanuel Gbenga Dada, Afeez Abidemi, David Opeoluwa Oyewola, & Ban Mohammed Khammas. (2022). Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems. Heliyon. 8(5). e09399–e09399. 212 indexed citations breakdown →
2.
Dada, Emmanuel Gbenga, et al.. (2022). Ensemble Machine Learning for Monkeypox Transmission Time Series Forecasting. Applied Sciences. 12(23). 12128–12128. 15 indexed citations
3.
Bassi, Joseph Stephen, et al.. (2020). Environmental Parameters Monitoring for Greenhouse Farming Using Wireless Sensor Networks. 2(3). 218–218. 1 indexed citations
4.
Hamdan, Mosab, et al.. (2020). Edge Computing Intelligence Using Robust Feature Selection for Network Traffic Classification in Internet-of-Things. IEEE Access. 8. 224059–224070. 25 indexed citations
5.
Bassi, Joseph Stephen, et al.. (2020). Development of Internet of Things (IoT) Based Energy Consumption Monitoring and Device Control System. 2(3). 85–85. 3 indexed citations
6.
Dada, Emmanuel Gbenga, et al.. (2019). Machine learning for email spam filtering: review, approaches and open research problems. Heliyon. 5(6). e01802–e01802. 316 indexed citations breakdown →
7.
Khammas, Ban Mohammed, et al.. (2018). Accuracy Improved Malware Detection Method using Snort Sub-signatures and Machine Learning Techniques. 3. 107–112. 5 indexed citations
8.
Khammas, Ban Mohammed, et al.. (2018). First Line Defense Against Spreading New Malware in the Network. 7. 113–118. 6 indexed citations
9.
Hamdan, Mosab, et al.. (2018). Impact of Packet Inter-arrival Time Features for Online Peer-to-Peer (P2P) Classification. International Journal of Electrical and Computer Engineering (IJECE). 8(4). 2521–2521. 7 indexed citations
10.
Bassi, Joseph Stephen, et al.. (2018). Carbon nanotube field effect transistors: toward future nanoscale electronics. International Journal of Computers and Applications. 41(2). 149–164. 26 indexed citations
11.
Dada, Emmanuel Gbenga, et al.. (2017). An Investigation into the Effectiveness of Machine Learning Techniques for Intrusion Detection. SHILAP Revista de lepidopterología. 13(6). 764–778. 1 indexed citations
12.
Bassi, Joseph Stephen, et al.. (2017). Cooperative Learning for Distributed In-Network Traffic Classification. IOP Conference Series Materials Science and Engineering. 190. 12010–12010. 1 indexed citations
13.
Bassi, Joseph Stephen, et al.. (2016). Cooperative Learning for Distributed In-Network Traffic Classification. Proceeding of the Electrical Engineering Computer Science and Informatics. 3(1). 1 indexed citations
14.
Bassi, Joseph Stephen, et al.. (2016). Online Incremental Learning for High Bandwidth Network Traffic Classification. Applied Computational Intelligence and Soft Computing. 2016. 1–13. 14 indexed citations
15.
Bassi, Joseph Stephen, et al.. (2016). ONLINE PEER-TO-PEER TRAFFIC IDENTIFICATION BASED ON COMPLEX EVENTS PROCESSING OF TRAFFIC EVENT SIGNATURES. Jurnal Teknologi. 78(7). 1 indexed citations
16.
Yusof, Kamaludin Mohamad, et al.. (2016). Hidden Node Scenario: A Case for Cooperative Spectrum Sensing in Cognitive Radio Networks. Indian Journal of Science and Technology. 9(46). 4 indexed citations
17.
Khammas, Ban Mohammed, et al.. (2015). FEATURE SELECTION AND MACHINE LEARNING CLASSIFICATION FOR MALWARE DETECTION. Jurnal Teknologi. 77(1). 33 indexed citations
18.
Bassi, Joseph Stephen, et al.. (2015). Cooperative learning for online in-network performance monitoring. 11. 213–218. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jingchao Sun Breakdown of academic impact, for papers by Kazuhiko Kato Breakdown of academic impact, for papers by Songlin Chen Breakdown of academic impact, for papers by Mohit Sewak Breakdown of academic impact, for papers by Azhar M. Memon Breakdown of academic impact, for papers by Jiangxing Wu Breakdown of academic impact, for papers by Sen Zhao Breakdown of academic impact, for papers by Xin Peng Breakdown of academic impact, for papers by Jingguo Ge Breakdown of academic impact, for papers by Peng Zhao
Rankless by CCL
2026