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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:

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

Showing 1-25 of 30 citing articles:

Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards
Anil Kumar Chillara, Paresh Saxena, Rajib Ranjan Maiti, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 2043-2061
Closed Access | Times Cited: 6
Enhancing Mobile Application Security Through Android Threat Classification
Helen Josephine V L, Manikandan Rajagopal, S Gayatri, et al.
Procedia Computer Science (2025) Vol. 252, pp. 154-164
Open Access
Securing IoT Devices Running PureOS from Ransomware Attacks: Leveraging Hybrid Machine Learning Techniques
Tariq Ahamed Ahanger, Usman Tariq, Fadl Dahan, et al.
Mathematics (2023) Vol. 11, Iss. 11, pp. 2481-2481
Open Access | Times Cited: 11
A Hybrid Optimization Model for Efficient Detection and Classification of Malware in the Internet of Things
Ijaz Ahmad, Zhong Wan, Ashfaq Ahmad, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1437-1437
Open Access | Times Cited: 3
Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2
Ηλίας Δρίτσας, Μαρία Τρίγκα
Sensors (2022) Vol. 23, Iss. 1, pp. 40-40
Open Access | Times Cited: 11
Similarity-Based Hybrid Malware Detection Model Using API Calls
Asma A. Alhashmi, Abdulbasit A. Darem, Abdullah Mujawib Alashjaee, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2944-2944
Open Access | Times Cited: 6
Enhancing Smart IoT Malware Detection: A GhostNet-based Hybrid Approach
Abdulwahab Ali Almazroi, Nasir Ayub
Systems (2023) Vol. 11, Iss. 11, pp. 547-547
Open Access | Times Cited: 6
Explaining the Effectiveness of Machine Learning in Malware Detection: Insights from Explainable AI
Hendrio Bragança, Vanderson Rocha, Eduardo Souto, et al.
(2023), pp. 181-194
Open Access | Times Cited: 6
Features Engineering for Malware Family Classification Based API Call
Ammar Yahya Daeef, Ali Al‐Naji, Javaan Chahl
Computers (2022) Vol. 11, Iss. 11, pp. 160-160
Open Access | Times Cited: 10
Human Endocrine-Disrupting Effects of Phthalate Esters through Adverse Outcome Pathways: A Comprehensive Mechanism Analysis
Yunxiang Li, Hao Yang, Wei He, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13548-13548
Open Access | Times Cited: 5
Malware cyberattacks detection using a novel feature selection method based on a modified whale optimization algorithm
Riyadh Rahef Nuiaa, Esraa Saleh Alomari, Manar Bashar Mortatha Alkorani, et al.
Wireless Networks (2023) Vol. 30, Iss. 9, pp. 7257-7273
Closed Access | Times Cited: 5
Capturing the Behavior of Android Malware with MH-100K: A Novel and Multidimensional Dataset
Hendrio Bragança, Vanderson Rocha, Lucas Barcellos, et al.
(2023), pp. 510-515
Open Access | Times Cited: 5
Dynamic Ransomware Detection for Windows Platform Using Machine Learning Classifiers
M. Izham Jaya, Mohd Faizal Ab. Razak
JOIV International Journal on Informatics Visualization (2022) Vol. 6, Iss. 2-2, pp. 469-469
Open Access | Times Cited: 5
A GWO-XGBoost Machine Learning Classifier for Detecting Malware Executables
Seema Sharma, Nidhi Gupta, Beena Bundela
(2023), pp. 247-251
Closed Access | Times Cited: 2
PDFalse: Evasive Malicious PDF Machine Learning Classifier
Agung Ngurah Gde K.T.D. Gusti, Girinoto
(2023), pp. 9-14
Closed Access | Times Cited: 2
Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox
Amaal F. Alshmarni, Mohammed Alliheedi
Journal of Information Security and Cybercrimes Research (2024) Vol. 7, Iss. 1, pp. 85-92
Open Access
A Combined Utilization of Machine Learning and Pre-Attack Analysis to Provide a Protection Framework for Ransomware Attack
Srijita Bhattacharjee, Dhananjay M. Dakhane
(2024), pp. 599-604
Closed Access
Dynamic Malware Analysis Using Machine Learning-Based Detection Algorithms
Erly Galia Villarroel Enriquez, Juan Gutiérrez-Cárdenas
Interfases (2024), Iss. 019, pp. 119-138
Open Access
Enhancing XGBoost Performance in Malware Detection through Chi-Squared Feature Selection
Salma Rosyada, Fauzi Adi Rafrastara, Aditia Fakhri Ramadhani, et al.
Jurnal Sisfokom (Sistem Informasi dan Komputer) (2024) Vol. 13, Iss. 3, pp. 396-402
Open Access
Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats
Amjad Hussain, Ayesha Saadia, Musaed Alhussein, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2546-e2546
Open Access
Hybrid Malware Variant Detection Model with Extreme Gradient Boosting and Artificial Neural Network Classifiers
Asma A. Alhashmi, Abdulbasit A. Darem, Sultan M. Alanazi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 3, pp. 3483-3498
Open Access | Times Cited: 1
Identification and Classification of Malicious and Benign URL using Machine Learning Classifiers
Danish Kundra
(2023), pp. 160-165
Closed Access | Times Cited: 1
Automated Malware Detection Based on a Machine Learning Algorithm
Almaha Almuqren, Mounir Frikha, Abdullah Albuali
(2023), pp. 1-12
Closed Access | Times Cited: 1
Malware and Average Individual
Reem Alrawili, Michael G. Oliva, Amber Honnef, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 2
Green Care Achievement Based on Aquaponics Combined with Human–Computer Interaction
Wei‐Ling Lin, Shu-Ching Wang, Li-Syuan Chen, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9809-9809
Open Access | Times Cited: 1
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