
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Deep learning hybridization for improved malware detection in smart Internet of Things
Abdulwahab Ali Almazroi, Nasir Ayub
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Abdulwahab Ali Almazroi, Nasir Ayub
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Showing 9 citing articles:
Innovative AI ensemble model for robust and optimized blockchain-based healthcare systems
Abdulwahab Ali Almazroi
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
Abdulwahab Ali Almazroi
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
A Multi-CPU Architecture IoT Malware Detection Approach in Cyber-Physical Power System
Xichao Zhao, Zhuofan Tang, Jie Shi, et al.
Lecture notes in electrical engineering (2025), pp. 546-553
Closed Access
Xichao Zhao, Zhuofan Tang, Jie Shi, et al.
Lecture notes in electrical engineering (2025), pp. 546-553
Closed Access
A Hybrid Optimization Model for Efficient Detection and Classification of Malware in the Internet of Things
Ijaz Ahmad, Zhong Wan, Ashfaq Ahmad, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1437-1437
Open Access | Times Cited: 3
Ijaz Ahmad, Zhong Wan, Ashfaq Ahmad, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1437-1437
Open Access | Times Cited: 3
Deep-Learning-Based Approach for IoT Attack and Malware Detection
Burak Taşçı
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8505-8505
Open Access | Times Cited: 3
Burak Taşçı
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8505-8505
Open Access | Times Cited: 3
A Machine Learning-Based Framework with Enhanced Feature Selection and Resampling for Improved Intrusion Detection
Fazila‐Tun‐Nesa Malik, Qazi Waqas Khan, Atif Rizwan, et al.
Mathematics (2024) Vol. 12, Iss. 12, pp. 1799-1799
Open Access | Times Cited: 2
Fazila‐Tun‐Nesa Malik, Qazi Waqas Khan, Atif Rizwan, et al.
Mathematics (2024) Vol. 12, Iss. 12, pp. 1799-1799
Open Access | Times Cited: 2
Novel Detection of Hospital Malware Using Network Pattern Analysis
郝品量, Jancy Ling Liu, Wang Lian
(2024)
Open Access | Times Cited: 2
郝品量, Jancy Ling Liu, Wang Lian
(2024)
Open Access | Times Cited: 2
Malware Detection Using Deep Learning Approaches
Ahmad Shah, Liqaa Nawaf
(2024)
Open Access | Times Cited: 1
Ahmad Shah, Liqaa Nawaf
(2024)
Open Access | Times Cited: 1
Machine learning-based cyber threat detection: an approach to malware detection and security with explainable AI insights
Farida Siddiqi Prity, Md. Shahidul Islam, Emran Hossain Fahim, et al.
Human-Intelligent Systems Integration (2024)
Closed Access
Farida Siddiqi Prity, Md. Shahidul Islam, Emran Hossain Fahim, et al.
Human-Intelligent Systems Integration (2024)
Closed Access
A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling
Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, et al.
Ain Shams Engineering Journal (2024) Vol. 16, Iss. 1, pp. 103205-103205
Open Access
Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, et al.
Ain Shams Engineering Journal (2024) Vol. 16, Iss. 1, pp. 103205-103205
Open Access