Ali Feizollah

2.1k total citations · 2 hit papers
19 papers, 1.4k citations indexed

About

Ali Feizollah is a scholar working on Signal Processing, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Ali Feizollah has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Computer Networks and Communications and 7 papers in Sociology and Political Science. Recurrent topics in Ali Feizollah's work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Halal products and consumer behavior (5 papers). Ali Feizollah is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers) and Halal products and consumer behavior (5 papers). Ali Feizollah collaborates with scholars based in Malaysia, Kuwait and United Kingdom. Ali Feizollah's co-authors include Nor Badrul Anuar, Rosli Salleh, Abdullah Gani, Ainin Sulaiman, Lorenzo Cavallaro, Kimberly Tam, Nor Aniza Abdullah, Ahmad Firdaus, Ainuddin Wahid Abdul Wahab and Guillermo Suárez‐Tangil and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and International Journal of Environmental Research and Public Health.

In The Last Decade

Ali Feizollah

18 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Evaluation of machine learning classifiers for mobile malware detection

2014 279 citations Ali Feizollah, Nor Badrul Anuar et al. Soft Computing profile →
The Evolution of Android Malware and Android Analysis Techniques

2017 246 citations Kimberly Tam, Ali Feizollah et al. ACM Computing Surveys profile →

Peers

Ali Feizollah

CNC

SOFTW

Ahmad Firdaus Malaysia

Kevin W. Hamlen United States

Marco A. Casanova Brazil

Mohd Faizal Ab Razak Malaysia

Stefan Fenz Austria

Lois Delcambre United States

Pavneet Singh Kochhar Singapore

Teodor Sommestad Sweden

Steve Mansfield-Devine

Ahmad Firdaus Malaysia

Ali Feizollah

396 ×0.5

440 ×0.5

CNC

450 ×0.8

216 ×0.6

123 ×0.4

SOFTW

Citations per year, relative to Ali Feizollah Ali Feizollah (= 1×) peers Ahmad Firdaus

Countries citing papers authored by Ali Feizollah

Since Specialization

Citations

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

Fields of papers citing papers by Ali Feizollah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Feizollah

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

All Works

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19 of 19 papers shown

Feizollah, Ali, et al.. (2025). The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review. Journal of Medical Internet Research. 27. e72853–e72853. 1 indexed citations

Sulaiman, Ainin, et al.. (2023). Machine learning In the financial industry: A bibliometric approach to evidencing applications. Cogent Social Sciences. 9(2).

Feizollah, Ali, et al.. (2022). The rise of obfuscated Android malware and impacts on detection methods. PeerJ Computer Science. 8. e907–e907. 26 indexed citations

Mostafa, Mohamed M., Ali Feizollah, & Nor Badrul Anuar. (2022). Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics. Multimedia Tools and Applications. 82(8). 12423–12443. 13 indexed citations

Sulaiman, Ainin, Ali Feizollah, Mohamed M. Mostafa, & Zalina Zakaria. (2022). Profiling the halal food consumer on Instagram: integrating image, textual, and social tagging data. Multimedia Tools and Applications. 82(7). 10867–10886. 2 indexed citations

Feizollah, Ali, et al.. (2022). Understanding COVID-19 Halal Vaccination Discourse on Facebook and Twitter Using Aspect-Based Sentiment Analysis and Text Emotion Analysis. International Journal of Environmental Research and Public Health. 19(10). 6269–6269. 13 indexed citations

Feizollah, Ali, et al.. (2021). Exploring halal tourism tweets on social media. Journal Of Big Data. 8(1). 49 indexed citations

Sulaiman, Ainin, et al.. (2020). Examining what people tweet in relation to halal cosmetics-related topics. Cogent Arts and Humanities. 7(1). 1724593–1724593. 13 indexed citations

Sulaiman, Ainin, Ali Feizollah, Nor Badrul Anuar, & Nor Aniza Abdullah. (2020). Sentiment analyses of multilingual tweets on halal tourism. Tourism Management Perspectives. 34. 100658–100658. 114 indexed citations

10.

Abdullah, Nor Aniza, Ali Feizollah, Ainin Sulaiman, & Nor Badrul Anuar. (2019). Challenges and Recommended Solutions in Multi-Source and Multi-Domain Sentiment Analysis. IEEE Access. 7. 144957–144971. 9 indexed citations

11.

Feizollah, Ali, et al.. (2019). Halal Products on Twitter: Data Extraction and Sentiment Analysis Using Stack of Deep Learning Algorithms. IEEE Access. 7. 83354–83362. 71 indexed citations

12.

Firdaus, Ahmad, et al.. (2019). The rise of “blockchain”: bibliometric analysis of blockchain study. Scientometrics. 120(3). 1289–1331. 152 indexed citations

13.

Feizollah, Ali, Nor Badrul Anuar, & Rosli Salleh. (2018). Evaluation of Network Traffic Analysis Using Fuzzy C-Means Clustering Algorithm in Mobile Malware Detection. Advanced Science Letters. 24(2). 929–932. 15 indexed citations

14.

Tam, Kimberly, Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, & Lorenzo Cavallaro. (2017). The Evolution of Android Malware and Android Analysis Techniques. ACM Computing Surveys. 49(4). 1–41. 246 indexed citations breakdown →

15.

Feizollah, Ali, Nor Badrul Anuar, Rosli Salleh, Guillermo Suárez‐Tangil, & Steven Furnell. (2016). AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection. Computers & Security. 65. 121–134. 177 indexed citations

16.

Feizollah, Ali, Nor Badrul Anuar, Rosli Salleh, & Ainuddin Wahid Abdul Wahab. (2015). A review on feature selection in mobile malware detection. Digital Investigation. 13. 22–37. 150 indexed citations

17.

Feizollah, Ali, et al.. (2014). Comparative study of k-means and mini batch k-means clustering algorithms in android malware detection using network traffic analysis. Research Explorer (The University of Manchester). 193–197. 56 indexed citations

18.

Feizollah, Ali, et al.. (2014). Evaluation of machine learning classifiers for mobile malware detection. Soft Computing. 20(1). 343–357. 279 indexed citations breakdown →

19.

Feizollah, Ali, et al.. (2013). A Study Of Machine Learning Classifiers for Anomaly-Based Mobile Botnet Detection. Malaysian Journal of Computer Science. 26(4). 251–265. 64 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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