Citation sources

Updated weekly. Details via Crossref

Crossref	Scopus	Google Scholar
18	21	Search

2025	An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features IEEE Access Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau
2025	FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications Engineering Science and Technology, an International Journal Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru
2025	BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices PeerJ Computer Science Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak
2025	A brief survey of deep learning methods for android Malware detection International Journal of System Assurance Engineering and Management Abdurraheem Joomye, Mee Hong Ling, Kok-Lim Alvin Yau
2025	WD Detector: deep learning-based hybrid sensor design for wood defect detection European Journal of Wood and Wood Products Kenan Kılıç, Kazım Kılıç, İbrahim Alper Doğru, Uğur Özcan
2025	A novel image based approach for mobile android malware detection and classification Knowledge-Based Systems Muhammed Mutlu Yapici
2025	Prediction of greenhouse gas emissions in Türkiye with long short-term memory (LSTM) and 1-dimensional convolutional neural network (1-DCNN) algorithms International Journal of Green Energy Zeki Yılbaşı, Gökalp Çınarer, Nevfel Yunus Coşkun, Murat Kadir Yeşilyurt
2025	RAX-ClaMal: Dynamic Android malware classification based on RAX register values Internet of Things Van-Hau Pham, Nguyen Tan Cam, Pham Nhat Duy, Nguyen Vinh Tan
2025	TTGNet-AMD: Android malware detection based on multi-modal feature fusion PeerJ Computer Science Jiayin Feng, Meiyu Wang, JinLing Song, Chenfeng Yang, Lingzu Zhang, Yang Shen
2025	3DMalDroid: A novel 3D image based approach for android malware detection and classification Computers and Electrical Engineering Muhammed Mutlu Yapici
2024	A Survey on Android Malware Detection Techniques Using Supervised Machine Learning IEEE Access Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul
2024	PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image PeerJ Computer Science Kazım Kılıç, İbrahim Alper Doğru, Sinan Toklu
2024	2024 8th International Conference on Computer, Software and Modeling (ICCSM) Saliha Menacer, Mohamed Faouzi Zerarka, Abdelhakim Cheriet, Smain Femmam
2024	MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling IET Information Security Wei Gu, Hongyan Xing, Tianhao Hou
2023	An Ensemble Approach Based on Fuzzy Logic Using Machine Learning Classifiers for Android Malware Detection Applied Sciences İsmail Atacak
2023	GA-StackingMD: Android Malware Detection Method Based on Genetic Algorithm Optimized Stacking Applied Sciences Nannan Xie, Zhaowei Qin, Xiaoqiang Di
2023	Machine Learning-Based Adaptive Genetic Algorithm for Android Malware Detection in Auto-Driving Vehicles Applied Sciences Layth Hammood, İbrahim Alper Doğru, Kazım Kılıç
2023	Android Malware Detection Approach Using Stacked AutoEncoder and Convolutional Neural Networks International Journal of Intelligent Information Technologies Brahami Menaouer, Abdallah El Hadj Mohamed Islem, Matta Nada
	Additional cited-by details will be shown when available from Crossref