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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:

MVIIDroid: A Multiple View Information Integration Approach for Android Malware Detection and Family Identification
Qing Wu, Miaomiao Li, Xueling Zhu, et al.
IEEE Multimedia (2020) Vol. 27, Iss. 4, pp. 48-57
Closed Access | Times Cited: 20

Showing 20 citing articles:

KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization
Alejandro Guerra-Manzanares, Hayretdin Bahşi, Sven Nõmm
Computers & Security (2021) Vol. 110, pp. 102399-102399
Open Access | Times Cited: 79
A Dynamic Robust DL-Based Model for Android Malware Detection
Ikram Ul Haq, Tamim Ahmed Khan, Adnan Akhunzada
IEEE Access (2021) Vol. 9, pp. 74510-74521
Open Access | Times Cited: 37
An Efficient Android Malware Detection Using Adaptive Red Fox Optimization Based CNN
P. C. Senthil Mahesh, S. Hemalatha
Wireless Personal Communications (2022) Vol. 126, Iss. 1, pp. 679-700
Closed Access | Times Cited: 11
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
Automated malware detection using machine learning and deep learning approaches for android applications
S. Poornima, R. Mahalakshmi
Measurement Sensors (2023) Vol. 32, pp. 100955-100955
Open Access | Times Cited: 4
Malware Detection Inside App Stores Based on Lifespan Measurements
Carlos Cilleruelo, Enrique-Larriba, Luis de‐Marcos, et al.
IEEE Access (2021) Vol. 9, pp. 119967-119976
Open Access | Times Cited: 7
FamDroid: Learning-Based Android Malware Family Classification Using Static Analysis
Wenhao Fan, Liang Zhao, Jiayang Wang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 6
CFSBFDroid: Android Malware Detection Using CFS + Best First Search-Based Feature Selection
Ravi Mohan Sharma, Chaitanya P. Agrawal, Vinod Kumar, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 4
Multi-NetDroid: Multi-layer Perceptron Neural Network for Android Malware Detection
Andri Rai, Eul Gyu Im
Communications in computer and information science (2024), pp. 219-235
Closed Access
Static and Dynamic Data Analysis for Android Malware Detection using Red Fox Optimization
Ambika Dulal, M. Somorjit Singh, Gajendra Sharma
International Journal of Research Publications (2024) Vol. 146, Iss. 1
Open Access
Detection and analysis of android malwares using hybrid dual Path bi-LSTM Kepler dynamic graph convolutional network
Sadananda Lingayya, Praveen Kulkarni, Rohan Don Salins, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
Dynamic Malware Pattern Analysis with Rapid Node Behaviour Analysis Using Self Replication Model for Network Intrusion Detection
Ragini Mokkapati, Venkata Lakshmi Dasari
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 4, pp. 1591-1601
Open Access
Multi-View Learning for Repackaged Malware Detection
Shirish Singh, Kushagra Chaturvedy, Bharavi Mishra
Proceedings of the 17th International Conference on Availability, Reliability and Security (2021), pp. 1-9
Closed Access | Times Cited: 4
DeepMDFC: A deep learning based android malware detection and family classification method
Sandeep Sharma, Prachi Ahlawat, Kavita Khanna
Security and Privacy (2023) Vol. 7, Iss. 2
Open Access | Times Cited: 1
Big Cross-Modal Social Media Data Analytics With Deep Intelligence
Yang Wang, Meng Fang, Joey Tianyi Zhou, et al.
IEEE Multimedia (2020) Vol. 27, Iss. 4, pp. 6-8
Open Access | Times Cited: 1
Feature Selection for Android Malware Detection with Random Forest on Smartphones
Ibrahim Mahmood Ibrahim, Amira Bibo Sallow
Revue d intelligence artificielle (2023) Vol. 37, Iss. 4, pp. 857-869
Open Access
AI-Based Android Malware Detection Methods
Weina Niu, Xiaosong Zhang, Ran Yan, et al.
(2012), pp. 55-93
Closed Access
A Systematic Literature Review on the Mobile Malware Detection Methods
Yu‐Kyung Kim, Jemin Justin Lee, Myong-Hyun Go, et al.
Communications in computer and information science (2022), pp. 263-288
Closed Access
Fast and Robust Detection of Adversarial Attacks in the Problem Space using Machine Learning
Muhammad Luqman Naseem, Uroosa Sehar
Research Square (Research Square) (2022)
Open Access
IFIFDroid: Important Features Identification Framework in Android Malware Detection
Takia Islam, Sheikh Shah Mohammad Motiur Rahman, Md. Ismail Jabiullah
Studies in big data (2021), pp. 143-160
Closed Access
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