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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 novel deep learning-based approach for malware detection
Kamran Shaukat, Suhuai Luo, Vijay Varadharajan
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106030-106030
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

A novel machine learning approach for detecting first-time-appeared malware
Kamran Shaukat, Suhuai Luo, Vijay Varadharajan
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107801-107801
Open Access | Times Cited: 24
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
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Muhammed ÇELİK, Özkan İNİK
Expert Systems with Applications (2023) Vol. 238, pp. 122159-122159
Closed Access | Times Cited: 30
Automated Android Malware Detection Using Optimal Ensemble Learning Approach for Cybersecurity
Hayam Alamro, Wafa Mtouaa, Sumayh S. Aljameel, et al.
IEEE Access (2023) Vol. 11, pp. 72509-72517
Open Access | Times Cited: 25
Deep neural network with empirical mode decomposition and Bayesian optimisation for residential load forecasting
Ashkan Lotfipoor, Sandhya Patidar, David Jenkins
Expert Systems with Applications (2023) Vol. 237, pp. 121355-121355
Open Access | Times Cited: 25
Defense strategies for Adversarial Machine Learning: A survey
Panagiotis Bountakas, Apostolis Zarras, Alexios Lekidis, et al.
Computer Science Review (2023) Vol. 49, pp. 100573-100573
Closed Access | Times Cited: 23
Student Cheating Detection in Higher Education by Implementing Machine Learning and LSTM Techniques
Waleed Alsabhan
Sensors (2023) Vol. 23, Iss. 8, pp. 4149-4149
Open Access | Times Cited: 22
Advances in Malware Analysis and Detection in Cloud Computing Environments: A Review
S. Madhusudhana Rao, Arpit Jain
International Journal of Safety and Security Engineering (2024) Vol. 14, Iss. 1, pp. 225-230
Open Access | Times Cited: 13
MeMalDet: A memory analysis-based malware detection framework using deep autoencoders and stacked ensemble under temporal evaluations
Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury
Computers & Security (2024) Vol. 142, pp. 103864-103864
Open Access | Times Cited: 9
An Intelligent Mechanism to Detect Multi-Factor Skin Cancer
Abdullah Abdullah, Ansar Siddique, Kamran Shaukat, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1359-1359
Open Access | Times Cited: 9
Tackling class imbalance in computer vision: a contemporary review
Manisha Saini, Seba Susan
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1279-1335
Closed Access | Times Cited: 20
MalHyStack: A hybrid stacked ensemble learning framework with feature engineering schemes for obfuscated malware analysis
Kowshik Sankar Roy, Tanim Ahmed, Pritom Biswas Udas, et al.
Intelligent Systems with Applications (2023) Vol. 20, pp. 200283-200283
Open Access | Times Cited: 20
A Review of State-of-the-Art Malware Attack Trends and Defense Mechanisms
Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, et al.
IEEE Access (2023) Vol. 11, pp. 121118-121141
Open Access | Times Cited: 18
Intelligent Pattern Recognition Using Equilibrium Optimizer With Deep Learning Model for Android Malware Detection
Mohammed Maray, Mashael Maashi, Haya Mesfer Alshahrani, et al.
IEEE Access (2024) Vol. 12, pp. 24516-24524
Open Access | Times Cited: 5
FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images
S. Suganyadevi, V. Seethalakshmi
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2893-2909
Closed Access | Times Cited: 5
Utilizing customized CNN for brain tumor prediction with explainable AI
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38997-e38997
Open Access | Times Cited: 5
A Malware-Detection Method Using Deep Learning to Fully Extract API Sequence Features
Shuhui Zhang, Mingyu Gao, Lianhai Wang, et al.
Electronics (2025) Vol. 14, Iss. 1, pp. 167-167
Open Access
Earthworm Optimization Algorithm Based Cascade LSTM-GRU Model for Android Malware Detection
Brij B. Gupta, Akshat Gaurav, Varsha Arya, et al.
Cyber Security and Applications (2025), pp. 100083-100083
Open Access
Educational sustainability: A multi-scale elementary school resource distribution variability from China
Jiali Cai, W. Wei
Heliyon (2025) Vol. 11, Iss. 2, pp. e41846-e41846
Open Access
Elucidation on the performance of various machine learning models for real-time malware detection, malware classification and network packet screening
Ahmed Rafat Elkilany, Yih Bing Chu
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access
MIDALF—multimodal image and audio late fusion for malware detection
Setia Juli Irzal Ismail, Hendrawan Hendrawan, Budi Rahardjo, et al.
EURASIP Journal on Information Security (2025) Vol. 2025, Iss. 1
Open Access
Cybersecurity in the AI era: analyzing the impact of machine learning on intrusion detection
Huiyao Dong, Igor Kotenko
Knowledge and Information Systems (2025)
Closed Access
Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint
Edmund Fosu Agyemang, Joseph Agyapong Mensah, Eric Nyarko, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
An Advanced Ensemble Framework for defending against obfuscated Windows, Android, and IoT malware
Danish Vasan, Junaid Akram, Mohammad Hammoudeh, et al.
Applied Soft Computing (2025), pp. 112908-112908
Closed Access
Automatic oral cancer detection using deep learning techniques
T. Sundari, M. Maheswari
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107731-107731
Closed Access
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