OpenAlex Citation Counts

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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:

Analyzing and Explaining Black-Box Models for Online Malware Detection
Harikha Manthena, Jeffrey C. Kimmel, Mahmoud Abdelsalam, et al.
IEEE Access (2023) Vol. 11, pp. 25237-25252
Open Access | Times Cited: 10

Showing 10 citing articles:

Design of an efficient Malware Prediction Model using Auto Encoded & Attention-based Recurrent Graph Relationship Analysis
Mahesh T. Dhande, S. P. Tiwari, Nikhil J. Rathod
International Research Journal of Multidisciplinary Technovation (2025), pp. 71-87
Open Access

Enhancing Malware Detection Through Machine Learning Using XAI with SHAP Framework
Nihala Basheer, Bernardi Pranggono, Shareeful Islam, et al.
IFIP advances in information and communication technology (2024), pp. 316-329
Closed Access | Times Cited: 4

Deep learning-powered malware detection in cyberspace: a contemporary review
Ananya Redhu, Prince Choudhary, Kathiravan Srinivasan, et al.
Frontiers in Physics (2024) Vol. 12
Open Access | Times Cited: 3

Machine Learning in Malware Analysis: Current Trends and Future Directions
Safa Altaha, Khaled Riad
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1

A comprehensive analysis combining structural features for detection of new ransomware families
Caio Moreira, Davi Carvalho Moreira, Claudomiro Sales
Journal of Information Security and Applications (2024) Vol. 81, pp. 103716-103716
Closed Access | Times Cited: 1

vDefender: An explainable and introspection-based approach for identifying emerging malware behaviour at hypervisor-layer in virtualization environment
Avantika Gaur, Preeti Mishra, P. Vinod, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109742-109742
Closed Access | Times Cited: 1

Explainable Deep Learning Models for Dynamic and Online Malware Classification
Quincy Card, Daniel Simpson, Kshitiz Aryal, et al.
(2024), pp. 182-189
Open Access

Machine Learning, Malware Detection: SecureAI
N. Ashwin Kashyap, Anita Budhiraja, S. Singh
Lecture notes in networks and systems (2024), pp. 341-353
Closed Access

Explainability Guided Adversarial Evasion Attacks on Malware Detectors
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, et al.
(2024), pp. 1-9
Open Access

Malware detection based on deep learning approach in cloud computing
Israa Ezzat salem, Karim H. Al-Saedi
AIP conference proceedings (2024) Vol. 3219, pp. 030004-030004
Closed Access

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