| Evaluation of machine learning classifiers for mobile malware detection FA Narudin, A Feizollah, NB Anuar, A Gani Soft Computing 20 (1), 343-357, 2014 | 541 | 2014 |
| The Evolution of Android Malware and Android Analysis Techniques K Tam, A Feizollah, NB Anuar, R Salleh, L Cavallaro ACM Computing Surveys 49 (4), 1-41, 2017 | 503 | 2017 |
| A Review on Feature Selection in Mobile Malware Detection A Feizollah, NB Anuar, R Salleh, AWA Wahab Digital Investigation 13 (C), 22-37, 2015 | 315 | 2015 |
| AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection A Feizollah, NB Anuar, R Salleh, G Suarez-Tangil, S Furnell Computers & Security 65 (C), 121-134, 2017 | 312 | 2017 |
| The rise of “blockchain”: bibliometric analysis of blockchain study A Firdaus, MFA Razak, A Feizollah, IAT Hashem, M Hazim, NB Anuar Scientometrics 120 (3), 1289-1331, 2019 | 290 | 2019 |
| Sentiment analyses of multilingual tweets on halal tourism S Ainin, A Feizollah, NB Anuar, NA Abdullah Tourism Management Perspectives 34, 1-8, 2020 | 243 | 2020 |
| A Study Of Machine Learning Classifiers for Anomaly-Based Mobile Botnet Detection Ali Feizollah ,Nor Badrul Anuar,Rosli Salleh Malaysian Journal of Computer Science 26 (4), 251-265, 2013 | 141 | 2013 |
| Halal Products on Twitter: Data Extraction and Sentiment Analysis Using Stack of Deep Learning Algorithms A Feizollah, S Ainin, NB Anuar, NAB Abdullah, M Hazim IEEE Access 7 (1), 83354-83362, 2019 | 119 | 2019 |
| Exploring halal tourism tweets on social media A Feizollah, MM Mostafa, A Sulaiman, Z Zakaria, A Firdaus Journal of Big Data 8 (1), 72, 2021 | 118 | 2021 |
| Comparative Study of K-means and Mini Batch Kmeans Clustering Algorithms in Android Malware Detection Using Network Traffic Analysis A Feizollah, NB Anuar, R Salleh, F Amalina 2014 International Symposium on Biometrics and Security Technologies (ISBAST …, 2014 | 113 | 2014 |
| The rise of obfuscated Android malware and impacts on detection methods WF Elsersy, A Feizollah, NB Anuar PeerJ Computer Science 8, e907, 2022 | 57 | 2022 |
| Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics MM Mostafa, A Feizollah, NB Anuar Multimedia tools and applications 82 (8), 12423-12443, 2023 | 37 | 2023 |
| Anomaly detection using cooperative fuzzy logic controller A Feizollah, S Shamshirband, NB Anuar, R Salleh, ML Mat Kiah FIRA RoboWorld Congress, 220-231, 2013 | 34 | 2013 |
| Challenges and Recommended Solutions in Multi-Source and Multi-Domain Sentiment Analysis NA Abdullah, A Feizollah, A Sulaiman, NB Anuar IEEE Access 7 (1), 144957-144971, 2019 | 33 | 2019 |
| Examining what people tweet in relation to halal cosmetics-related topics S Ainin, A Feizollah, NB Anuar, NAB Abdullah, MNF Sahran Cogent Arts & Humanities 7 (1), 1724593, 2020 | 28 | 2020 |
| Understanding COVID-19 Halal Vaccination Discourse on Facebook and Twitter Using Aspect-Based Sentiment Analysis and Text Emotion Analysis A Feizollah, NB Anuar, R Mehdi, A Firdaus, A Sulaiman International Journal of Environmental Research and Public Health 19 (10), 6269, 2022 | 26 | 2022 |
| Evaluation of Network Traffic Analysis Using Fuzzy C-Means Clustering Algorithm in Mobile Malware Detection A Feizollah, NB Anuar, R Salleh Advanced Science Letters 24 (2), 929–932, 2018 | 26 | 2018 |
| User Profiling in Anomaly Detection of Authorization Logs Z Zamanian, A Feizollah, NB Anuar, LBM Kiah, K Srikanth, S Kumar International Journal of Engineering Research in Computer Science and …, 2019 | 14 | 2019 |
| Profiling the halal food consumer on Instagram: integrating image, textual, and social tagging data A Sulaiman, A Feizollah, MM Mostafa, Z Zakaria Multimedia Tools and Applications 82 (7), 10867-10886, 2023 | 11 | 2023 |
| Federated learning research: trends and bibliometric analysis A Farooq, A Feizollah, MH ur Rehman Federated Learning Systems: Towards Next-Generation AI, 1-19, 2021 | 11 | 2021 |
