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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 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

Showing 16 citing articles:

Android malware detection and identification frameworks by leveraging the machine and deep learning techniques: A comprehensive review
Santosh K. Smmarwar, Govind P. Gupta, Sanjay Kumar
Telematics and Informatics Reports (2024) Vol. 14, pp. 100130-100130
Open Access | Times Cited: 20
SwiftR: Cross-platform ransomware fingerprinting using hierarchical neural networks on hybrid features
ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab
Expert Systems with Applications (2023) Vol. 225, pp. 120017-120017
Closed Access | Times Cited: 16
An Intelligent Technique for Android Malware Identification Using Fuzzy Rank-Based Fusion
Altyeb Taha, Ahmed Hamza Osman, Yakubu S. Baguda
Technologies (2025) Vol. 13, Iss. 2, pp. 45-45
Open Access
From Learning Science to Computer Science: A Scientometric Review of Deeper Learning in Foreign Languages (1993–2024)
Zhao Wanli, Youjun Tang, Xiaomei Ma
SAGE Open (2025) Vol. 15, Iss. 1
Open Access
Identification of Baijiu based on the Raman spectroscopy and back-propagation neural network optimized using genetic algorithm
Xuyan Zong, Xianjiang Zhou, Lei Wen, et al.
Journal of Food Composition and Analysis (2023) Vol. 126, pp. 105917-105917
Closed Access | Times Cited: 5
A Deep Learning Model for Predicting Under-Five Mortality in Zimbabwe
John Batani
(2023) Vol. 4, pp. 1-6
Closed Access | Times Cited: 4
Evaluating the Practicality of Android-Based Courseware in Enhancing Electrical Circuit Proficiency among Vocational Students
Doni Tri Putra Yanto, Ganefri, Sukardi Sukardi, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2024) Vol. 18, Iss. 02, pp. 27-42
Open Access | Times Cited: 1
A lightweight deep learning-based android malware detection framework
Runze Ma, Shang-Nan Yin, Xia Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124633-124633
Closed Access | Times Cited: 1
The Future of Next Generation Web: Juxtaposing Machine Learning and Deep Learning-Based Web Cache Replacement Models in Web Caching Systems
Elliot Mbunge, John Batani, Stephen Gbenga Fashoto, et al.
Lecture notes in networks and systems (2023), pp. 426-450
Closed Access | Times Cited: 3
DeepMetaDroid: Real-Time Android Malware Detection Using Deep Learning and Metadata Features
Hashida Haidros Rahima Manzil, S. Manohar Naik
Cloud Computing and Data Science (2024), pp. 203-225
Open Access
Android Malware Detection using HexCode Features
Abhishek Anand, Jyoti Prakash Singh, Vatsal Dhoundiyal
Research Square (Research Square) (2024)
Open Access
WoS Bibliometric-based Review for Security Testing of Android Applications using Malware Analysis
Pawan Kumar, Sukhdip Singh
(2024), pp. 1-6
Closed Access
Be Aware of Your Text Messages: Fraud Attempts Identification Based on Semantic Sequential Learning for Financial Transactions through Mobile Services in Bangladesh
Sharun Akter Khushbu, Fariha Tasmin Jaigirdar, Adnan Anwar, et al.
Research Square (Research Square) (2024)
Open Access
Detecting Android attacks based on deep learning techniques: Status and future directions
Nabaa Waleed Abdulsattar, Amer A. Abdulrahman
AIP conference proceedings (2024) Vol. 3207, pp. 050004-050004
Closed Access
Penggunaan Metode Reverse Engineering Untuk Analisis Aplikasi .apk Dalam Meningkatkan Keamanan Device Android
S Fitriyanti, Yudi Prayudi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) (2024) Vol. 9, Iss. 1, pp. 355-367
Open Access
Detecting android malware and Prevention Using Supervised Learning
Khaled M. Khan
Integrated Journal for Research in Arts and Humanities (2023) Vol. 3, Iss. 1, pp. 139-149
Closed Access
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