Azizol Abdullah

1.7k total citations
132 papers, 1.1k citations indexed

About

Azizol Abdullah is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Azizol Abdullah has authored 132 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Networks and Communications, 50 papers in Information Systems and 37 papers in Artificial Intelligence. Recurrent topics in Azizol Abdullah's work include Network Security and Intrusion Detection (32 papers), Cloud Computing and Resource Management (27 papers) and Distributed and Parallel Computing Systems (23 papers). Azizol Abdullah is often cited by papers focused on Network Security and Intrusion Detection (32 papers), Cloud Computing and Resource Management (27 papers) and Distributed and Parallel Computing Systems (23 papers). Azizol Abdullah collaborates with scholars based in Malaysia, Nigeria and Pakistan. Azizol Abdullah's co-authors include Shamala Subramaniam, Mohd Taufik Abdullah, Мohamed Othman, Abdullah Muhammed, Nur Izura Udzir, Zurina Mohd Hanapi, Ramlan Mahmod, Mohammad Ali Khoshkholghi, Rohaya Latip and Fazirulhisyam Hashim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Azizol Abdullah

116 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azizol Abdullah Malaysia 17 829 417 293 220 190 132 1.1k
Divyansh Jain India 4 650 0.8× 388 0.9× 254 0.9× 285 1.3× 148 0.8× 12 945
Pranav Goyal United States 2 636 0.8× 389 0.9× 246 0.8× 272 1.2× 148 0.8× 4 904
Fadele Ayotunde Alaba Nigeria 5 626 0.8× 365 0.9× 208 0.7× 211 1.0× 114 0.6× 9 867
Noura Limam Canada 14 964 1.2× 256 0.6× 540 1.8× 182 0.8× 247 1.3× 38 1.3k
Christos Xenakis Greece 19 543 0.7× 465 1.1× 326 1.1× 265 1.2× 229 1.2× 110 1.0k
Suleman Khan Malaysia 20 776 0.9× 388 0.9× 272 0.9× 203 0.9× 303 1.6× 41 1.1k
Aikaterini Mitrokotsa Sweden 15 1.0k 1.2× 407 1.0× 573 2.0× 399 1.8× 181 1.0× 61 1.3k
Johari Abdullah Malaysia 15 919 1.1× 356 0.9× 672 2.3× 501 2.3× 126 0.7× 38 1.3k
Ian Welch New Zealand 19 1.0k 1.2× 444 1.1× 391 1.3× 430 2.0× 264 1.4× 105 1.4k
Gaurav Choudhary Denmark 17 490 0.6× 234 0.6× 204 0.7× 127 0.6× 336 1.8× 46 961

Countries citing papers authored by Azizol Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Azizol Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azizol Abdullah

This figure shows the co-authorship network connecting the top 25 collaborators of Azizol Abdullah. A scholar is included among the top collaborators of Azizol Abdullah 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 Azizol Abdullah. Azizol Abdullah 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.
Abdullah, Azizol, et al.. (2025). Network-Aware Gaussian Mixture Models for Multi-Objective SD-WAN Controller Placement. Electronics. 14(15). 3044–3044. 1 indexed citations
2.
Abdullah, Azizol, et al.. (2025). Central Tendency Feature Selection (CTFS): a novel approach for efficient and effective feature selection in intrusion detection systems. Multimedia Tools and Applications. 84(34). 42627–42648.
3.
Abdullah, Azizol, et al.. (2025). Dynamic Multi-Objective Controller Placement in SD-WAN: A GMM-MARL Hybrid Framework. SHILAP Revista de lepidopterología. 5(4). 52–52.
4.
Abdullah, Azizol, et al.. (2024). An empirical assessment of ML models for 5G network intrusion detection: A data leakage-free approach. SHILAP Revista de lepidopterología. 8. 100590–100590. 14 indexed citations
5.
Abdullah, Azizol, et al.. (2024). XAIRF-WFP: a novel XAI-based random forest classifier for advanced email spam detection. International Journal of Information Security. 24(1). 6 indexed citations
6.
Abdullah, Azizol, et al.. (2024). Overcoming the Challenges of Data Lack, Leakage, and Dimensionality in Intrusion Detection Systems: A Comprehensive Review. Journal of Communication and Information Systems. 39(2024). 22–34. 6 indexed citations
7.
Abdullah, Azizol, et al.. (2024). Towards robust and efficient intrusion detection in IoMT: a deep learning approach addressing data leakage and enhancing model generalizability. Multimedia Tools and Applications. 84(30). 36523–36542. 6 indexed citations
8.
Abdullah, Azizol, et al.. (2023). An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability. Expert Systems with Applications. 230. 120715–120715. 33 indexed citations
9.
Abdullah, Azizol, et al.. (2023). A Framework for Blockchain and Internet of Things Integration in Improving Food Security in the Food Supply Chain. Journal of Advanced Research in Applied Sciences and Engineering Technology. 34(1). 24–37. 15 indexed citations
10.
Abdullah, Azizol, et al.. (2023). A Lightweight Machine Learning-Based Email Spam Detection Model Using Word Frequency Pattern. 4(1). 15–28. 6 indexed citations
11.
Abdullah, Azizol, et al.. (2023). An intelligent DDoS attack detection tree-based model using Gini index feature selection method. Microprocessors and Microsystems. 98. 104823–104823. 44 indexed citations
12.
Hashim, Fazirulhisyam, et al.. (2023). Authentication-Chains: Blockchain-Inspired Lightweight Authentication Protocol for IoT Networks. Electronics. 12(4). 867–867. 11 indexed citations
13.
Abdullah, Azizol, et al.. (2023). BukaGini: A Stability-Aware Gini Index Feature Selection Algorithm for Robust Model Performance. IEEE Access. 11. 59386–59396. 13 indexed citations
14.
Abdullah, Azizol, et al.. (2023). The intersection of targeted advertising and security: Unraveling the mystery of overheard conversations. SHILAP Revista de lepidopterología. 11. 100092–100092. 5 indexed citations
15.
Abdullah, Mohd Taufik, et al.. (2018). Enhanced Bring your Own Device (BYOD) Environment Security based on Blockchain Technology. International Journal of Engineering & Technology. 7(4.31). 74–79. 10 indexed citations
16.
Jusoh, Yusmadi Yah, et al.. (2017). QoS-Based Cloud ERP Selection Model for SMEs. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 21–25. 4 indexed citations
17.
18.
Latip, Rohaya, et al.. (2013). A Taxonomy of Load Balancing Techniques in Cloud Computing. International Review on Computers and Software (IRECOS). 8(1). 64–76. 3 indexed citations
19.
Abdullah, Azizol, et al.. (2012). Dynamic replica replacement strategy in data grid. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 2. 578–584. 8 indexed citations
20.
Abdullah, Azizol, et al.. (2009). A PERFORMANCE STUDY OF ROUTING PROTOCOLS FOR MOBILE GRID ENVIRONMENT. SHILAP Revista de lepidopterología. 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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