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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:

A Hybrid Analysis-Based Approach to Android Malware Family Classification
Chao Ding, Nurbol Luktarhan, Bei Lu, et al.
Entropy (2021) Vol. 23, Iss. 8, pp. 1009-1009
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms
Halit Bakır, Rezan Bakır
Computers & Electrical Engineering (2023) Vol. 110, pp. 108804-108804
Closed Access | Times Cited: 36
Android malware category detection using a novel feature vector-based machine learning model
Hashida Haidros Rahima Manzil, S. Manohar Naik
Cybersecurity (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 27
FASNet: Federated Adversarial Siamese Networks for Robust Malware Image Classification
Namrata Govind Ambekar, Sonali Samal, N. Nandini Devi, et al.
Journal of Parallel and Distributed Computing (2025) Vol. 198, pp. 105039-105039
Closed Access
Hybrid Multilevel Detection of Mobile Devices Malware Under Concept Drift
Andrea Augello, Alessandra De Paola, Giuseppe Lo Re
Journal of Network and Systems Management (2025) Vol. 33, Iss. 2
Open Access
Gauss-Mapping Black Widow Optimization With Deep Extreme Learning Machine for Android Malware Classification Model
Ghadah Aldehim, Munya A. Arasi, Majdi Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 87062-87070
Open Access | Times Cited: 11
Android Malware Category and Family Classification Using Static Analysis
Cong‐Danh Nguyen, Nghi Hoang Khoa, Khoa Nguyen-Dang Doan, et al.
2022 International Conference on Information Networking (ICOIN) (2023), pp. 162-167
Closed Access | Times Cited: 10
A comprehensive review on permissions-based Android malware detection
Yash Sharma, Anshul Arora
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 1877-1912
Open Access | Times Cited: 3
A Machine Learning Classifier for Predicting Stable MCI Patients Using Gene Biomarkers
Run-Hsin Lin, Chia‐Chi Wang, Chun-Wei Tung
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 8, pp. 4839-4839
Open Access | Times Cited: 15
A Lightweight Multi-Source Fast Android Malware Detection Model
Tao Peng, Bochao Hu, Junping Liu, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5394-5394
Open Access | Times Cited: 14
Perbandingan Kinerja Akurasi Klasifikasi K-NN, NB dan DT pada APK Android
Djarot Hindarto
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) (2022) Vol. 9, Iss. 1, pp. 486-503
Open Access | Times Cited: 11
Early prediction of ransomware API calls behaviour based on GRU-TCN in healthcare IoT
Jueun Jeon, Seungyeon Baek, Byeonghui Jeong, et al.
Connection Science (2023) Vol. 35, Iss. 1
Open Access | Times Cited: 6
Evaluating Dynamic Analysis Features for Android Malware Categorization
Saneeha Khalid, Faisal Hussain
2022 International Wireless Communications and Mobile Computing (IWCMC) (2022)
Closed Access | Times Cited: 9
Security Analysis on Android Application Through Penetration Testing using Reverse Engineering
Shweta Katoch, Vaneet Garg
(2023)
Closed Access | Times Cited: 4
COMEX: Deeply Observing Application Behavior on Real Android Devices
Zeya Umayya, D. S. Malik, Arpit Nandi, et al.
(2024), pp. 100-109
Closed Access
Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM
Shuncheng Zhou, Honghui Li, Xueliang Fu, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5975-5975
Open Access
Optimal Unification of Static and Dynamic Features for Smartphone Security Analysis
Sumit Kumar, S. Indu, Gurjit Singh Walia
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 1, pp. 1035-1051
Open Access | Times Cited: 3
A Deep Learning-Based Framework for Android Malware Family Classification
D. R. Sahu, Satya Narayan Tripathy, Sisira Kumar Kapat
Lecture notes in networks and systems (2024), pp. 337-349
Closed Access
A Novel Ml-Micf: Machine Learning-Based Malware Identification and Classification Framework
Rahul Bhingradiya, Atul Malhotra
SSRN Electronic Journal (2024)
Closed Access
Introduction of Android Malware Detection
Weina Niu, Xiaosong Zhang, Ran Yan, et al.
(2024), pp. 3-19
Closed Access
Comparative Analysis of Machine Learning Models for Android Malware Detection
Selma Bulut, Adem Korkmaz
Sakarya University Journal of Science (2024) Vol. 28, Iss. 3, pp. 517-530
Open Access
Power Quality Transient Disturbance Diagnosis Based on Dynamic Large Convolution Kernel and Multi-Level Feature Fusion Network
Zheng Chen, Qionglin Li, Shuming Liu, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3227-3227
Open Access
Identifying Malware using Machine Learning Ensemble Model
Saketh Bandlapalli, Sivasubramaniam Janarthan, S Ragul, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access
ChatGPT-driven machine learning code generation for android malware detection
J. I. Nelson, Michalis Pavlidis, Andrew Fish, et al.
The Computer Journal (2024)
Closed Access
Augmenting Android Malware Using Conditional Variational Autoencoder for the Malware Family Classification
Younghoon Ban, Jeong Hyun Yi, Haehyun Cho
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 2215-2230
Open Access | Times Cited: 1
Breaking the structure of MaMaDroid
Harel Berger, Amit Dvir, Enrico Mariconti, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120429-120429
Open Access | Times Cited: 1
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