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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:

Android Mobile Malware Detection Using Machine Learning: A Systematic Review
Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri
Electronics (2021) Vol. 10, Iss. 13, pp. 1606-1606
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers
Durmuş Özkan Şahın, Sedat Akleylek, Erdal Kılıç
IEEE Access (2022) Vol. 10, pp. 14246-14259
Open Access | Times Cited: 59
Mobile Operating System (Android) Vulnerability Analysis Using Machine Learning
Vinod Mahor, Kiran Pachlasiya, Bhagwati Garg, et al.
Lecture notes in networks and systems (2022), pp. 159-169
Closed Access | Times Cited: 58
Android Source Code Vulnerability Detection: A Systematic Literature Review
Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-37
Open Access | Times Cited: 40
Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
Nor Zakiah Gorment, Ali Selamat, Lim Kok Cheng, et al.
IEEE Access (2023) Vol. 11, pp. 141045-141089
Open Access | Times Cited: 26
Machine learning aided malware detection for secure and smart manufacturing: a comprehensive analysis of the state of the art
Sangeeta Rani, Khushboo Tripathi, Ajay Kumar
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023)
Closed Access | Times Cited: 21
A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning
Mulhem Ibrahim, Bayan Issa, Muhammed Basheer Jasser
IEEE Access (2022) Vol. 10, pp. 117334-117352
Open Access | Times Cited: 36
MLMD—A Malware-Detecting Antivirus Tool Based on the XGBoost Machine Learning Algorithm
Jakub Palša, Norbert Ádám, Ján Hurtuk, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6672-6672
Open Access | Times Cited: 30
Malware Detection Using The Machine Learning Based Modified Partial Swarm Optimization Approach
S. Sivakumar, S. Saminathan, R. Ranjana, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 18
A review of deep learning models to detect malware in Android applications
Elliot Mbunge, Benhildah Muchemwa, John Batani, et al.
Cyber Security and Applications (2023) Vol. 1, pp. 100014-100014
Open Access | Times Cited: 16
Hybrid Android Malware Detection: A Review of Heuristic-Based Approach
Rajif Agung Yunmar, Sri Suning Kusumawardani, Widyawan Widyawan, et al.
IEEE Access (2024) Vol. 12, pp. 41255-41286
Open Access | Times Cited: 6
Dynamic Security Analysis on Android: A Systematic Literature Review
Thomas Sutter, Timo Kehrer, Marc Rennhard, et al.
IEEE Access (2024) Vol. 12, pp. 57261-57287
Open Access | Times Cited: 6
MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis
Janaka Senanayake, Sampath Rajapaksha, Naoto Yanai, et al.
Computers & Security (2025), pp. 104371-104371
Open Access
A Novel Android Botnet Detection System Using Image-Based and Manifest File Features
Suleiman Y. Yerima, Abul Bashar
Electronics (2022) Vol. 11, Iss. 3, pp. 486-486
Open Access | Times Cited: 24
Convolution neural network with batch normalization and inception-residual modules for Android malware classification
Tianyue Liu, Hongqi Zhang, Haixia Long, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17
Malware Attacks Detection in IoT Using Recurrent Neural Network (RNN)
Abeer Abdullah Alsadhan, Abdullah A. Al‐Atawi, Hanen Karamti, et al.
Intelligent Automation & Soft Computing (2024) Vol. 39, Iss. 2, pp. 135-155
Open Access | Times Cited: 2
IMCLNet: A lightweight deep neural network for Image-based Malware Classification
Binghui Zou, Chunjie Cao, Fangjian Tao, et al.
Journal of Information Security and Applications (2022) Vol. 70, pp. 103313-103313
Closed Access | Times Cited: 13
AI-Powered Vulnerability Detection for Secure Source Code Development
Sampath Rajapaksha, Janaka Senanayake, Harsha Kalutarage, et al.
Lecture notes in computer science (2023), pp. 275-288
Closed Access | Times Cited: 7
A Systematic Literature Review and a Conceptual Framework Proposition for Advanced Persistent Threats (APT) Detection for Mobile Devices Using Artificial Intelligence Techniques
Amjed Ahmed Al-Kadhimi, Manmeet Mahinderjit Singh, Mohd Nor Akmal Khalid
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8056-8056
Open Access | Times Cited: 7
Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models
Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri, et al.
(2023)
Open Access | Times Cited: 6
Android Malware Detection Approach Using Stacked AutoEncoder and Convolutional Neural Networks
Brahami Menaouer, Abdallah El Hadj Mohamed Islem, Nada Matta
International Journal of Intelligent Information Technologies (2023) Vol. 19, Iss. 1, pp. 1-22
Open Access | Times Cited: 6
Detection of Android Malware Using Machine Learning and Siamese Shot Learning Technique for Security
Fahdah Almarshad, Mohammed Zakariah, Ghada Abdalaziz Gashgari, et al.
IEEE Access (2023) Vol. 11, pp. 127697-127714
Open Access | Times Cited: 6
Modeling Parallel Programs using Large Language Models
Daniel Nichols, Aniruddha Marathe, Harshitha Menon, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin
Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri, et al.
Lecture notes in computer science (2023), pp. 339-357
Closed Access | Times Cited: 5
A Systematic Overview of the Machine Learning Methods for Mobile Malware Detection
Yu‐Kyung Kim, Jemin Justin Lee, Myong-Hyun Go, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 9
Domain Adaptation-Based Deep Learning Framework for Android Malware Detection Across Diverse Distributions
Shuguang Xiong, Xiaoyang Chen, Huitao Zhang, et al.
Artificial Intelligence Advances (2024) Vol. 6, Iss. 1, pp. 13-24
Open Access | Times Cited: 1
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