Warusia Yassin

928 total citations
36 papers, 603 citations indexed

About

Warusia Yassin is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Warusia Yassin has authored 36 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 18 papers in Signal Processing and 17 papers in Artificial Intelligence. Recurrent topics in Warusia Yassin's work include Network Security and Intrusion Detection (27 papers), Advanced Malware Detection Techniques (18 papers) and Anomaly Detection Techniques and Applications (13 papers). Warusia Yassin is often cited by papers focused on Network Security and Intrusion Detection (27 papers), Advanced Malware Detection Techniques (18 papers) and Anomaly Detection Techniques and Applications (13 papers). Warusia Yassin collaborates with scholars based in Malaysia, United Kingdom and Pakistan. Warusia Yassin's co-authors include Nur Izura Udzir, Z. Muda, Muhammad Sulaiman, Rabiah Ahmad, Aslinda Hassan, Mohammed Nasser Al‐Mhiqani, Zaheera Zainal Abidin, Md. Nasir Sulaiman, Azizol Abdullah and Karrar Hameed Abdulkareem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and International Journal of Advanced Computer Science and Applications.

In The Last Decade

Warusia Yassin

34 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Warusia Yassin Malaysia 12 437 321 269 221 61 36 603
Matthew Bernhard United States 7 664 1.5× 497 1.5× 485 1.8× 249 1.1× 84 1.4× 10 890
Sven Dietrich United States 12 506 1.2× 374 1.2× 270 1.0× 138 0.6× 31 0.5× 30 626
James Cannady United States 10 468 1.1× 392 1.2× 252 0.9× 88 0.4× 41 0.7× 27 612
Emmanouil Vasilomanolakis Denmark 14 655 1.5× 370 1.2× 357 1.3× 273 1.2× 94 1.5× 51 830
Dingbang Xu United States 10 491 1.1× 312 1.0× 293 1.1× 280 1.3× 19 0.3× 13 622
Giovanni Apruzzese Liechtenstein 14 602 1.4× 505 1.6× 463 1.7× 198 0.9× 82 1.3× 32 811
Basil AsSadhan Saudi Arabia 14 317 0.7× 284 0.9× 173 0.6× 99 0.4× 36 0.6× 34 451
Ronaldo Moreira Salles Brazil 11 437 1.0× 278 0.9× 192 0.7× 76 0.3× 30 0.5× 47 522
Igino Corona Italy 11 643 1.5× 477 1.5× 579 2.2× 317 1.4× 24 0.4× 16 834
Hamad Binsalleeh Canada 11 303 0.7× 352 1.1× 236 0.9× 221 1.0× 29 0.5× 18 529

Countries citing papers authored by Warusia Yassin

Since Specialization
Citations

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

Fields of papers citing papers by Warusia Yassin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Warusia Yassin

This figure shows the co-authorship network connecting the top 25 collaborators of Warusia Yassin. A scholar is included among the top collaborators of Warusia Yassin 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 Warusia Yassin. Warusia Yassin 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.
Yassin, Warusia, et al.. (2024). Constructing IoT Botnet Detection Model Based on Degree Centrality and Path Analysis. Journal of Advances in Information Technology. 15(3). 330–339.
2.
Yassin, Warusia, et al.. (2024). Predicting Heart Disease with Machine Learning: A Comparative Study. 815–822. 1 indexed citations
3.
Yassin, Warusia, et al.. (2024). Enhancing XGBoost Performance in Malware Detection through Chi-Squared Feature Selection. SHILAP Revista de lepidopterología. 13(3). 396–402. 1 indexed citations
4.
Yassin, Warusia, et al.. (2023). Blackhole attacks in internet of things networks: a review. Indonesian Journal of Electrical Engineering and Computer Science. 30(2). 1080–1080. 3 indexed citations
5.
Mohamad, Mohd Murtadha, et al.. (2022). Sign language detection using convolutional neural network for teaching and learning application. Indonesian Journal of Electrical Engineering and Computer Science. 28(1). 358–358. 2 indexed citations
6.
Yassin, Warusia, et al.. (2022). Determinants of Information Security Awareness and Behaviour Strategies in Public Sector Organizations among Employees. International Journal of Advanced Computer Science and Applications. 13(8). 7 indexed citations
7.
Al‐Mhiqani, Mohammed Nasser, Rabiah Ahmad, Zaheera Zainal Abidin, et al.. (2020). A Review of Insider Threat Detection: Classification, Machine Learning Techniques, Datasets, Open Challenges, and Recommendations. Applied Sciences. 10(15). 5208–5208. 79 indexed citations
8.
Yassin, Warusia, et al.. (2020). Identify of Factors Affecting Information Security Awareness and Weight Analysis Process. International Journal of Engineering and Advanced Technology. 9(3). 534–542. 10 indexed citations
9.
Yassin, Warusia, et al.. (2020). Cloud Forensic Challenges and Recommendations: A Review. 2(1). 19–29. 11 indexed citations
10.
Yassin, Warusia, et al.. (2019). An integrated multi layers approach for detecting unknown malware behaviours. International Journal of Engineering & Technology. 7(4). 5618–5621. 2 indexed citations
11.
Yassin, Warusia, et al.. (2019). An Insider Threat Categorization Framework for Automated Manufacturing Execution System. 3(2). 31–41. 3 indexed citations
12.
Clarke, Nathan, et al.. (2018). A NEW TAXONOMY OF INSIDER THREATS; AN INITIAL STEP IN UNDERSTANDING AUTHORIZED ATTACK. 1(1). 1–1. 4 indexed citations
13.
Ahmad, Rabiah, et al.. (2018). Cyber-Security Incidents: A Review Cases in Cyber-Physical Systems. International Journal of Advanced Computer Science and Applications. 9(1). 67 indexed citations
14.
Al‐Mhiqani, Mohammed Nasser, et al.. (2018). A new taxonomy of insider threats: an initial step in understanding authorised attack. 1(4). 343–343. 13 indexed citations
15.
Yassin, Warusia, et al.. (2014). Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 5 indexed citations
16.
Yassin, Warusia, et al.. (2013). A hybrid framework based on neural network MLP and K-means clustering for intrusion detection system. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 11 indexed citations
17.
Yassin, Warusia, Nur Izura Udzir, Z. Muda, Azizol Abdullah, & Muhamad Taufik Abdullah. (2012). A Cloud-based Intrusion Detection Service framework. 213–218. 44 indexed citations
18.
Muda, Z., Warusia Yassin, Muhammad Sulaiman, & Nur Izura Udzir. (2011). A K-Means and Naive Bayes Learning Approach for Better Intrusion Detection. Information Technology Journal. 10(3). 648–655. 49 indexed citations
19.
Yassin, Warusia. (1978). Clinico-pathological picture in five human cases died with Rift Valley fever.. PubMed. 53(3-4). 191–3. 7 indexed citations
20.
Omar, Hamdy, et al.. (1978). Virus isolation and identification from cases of Rift Valley fever virus infection in Egypt.. PubMed. 53(3-4). 201–3. 5 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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