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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:

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features
Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal, et al.
Applied Sciences (2020) Vol. 10, Iss. 14, pp. 4966-4966
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 811-811
Open Access | Times Cited: 206
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
J. Hemalatha, S. Abijah Roseline, S. Geetha, et al.
Entropy (2021) Vol. 23, Iss. 3, pp. 344-344
Open Access | Times Cited: 183
A New Malware Classification Framework Based on Deep Learning Algorithms
Ömer Aslan, Abdullah Asım Yılmaz
IEEE Access (2021) Vol. 9, pp. 87936-87951
Closed Access | Times Cited: 137
Image-Based Malware Classification Using VGG19 Network and Spatial Convolutional Attention
Mazhar Javed Awan, Osama Ahmed Masood, Mazin Abed Mohammed, et al.
Electronics (2021) Vol. 10, Iss. 19, pp. 2444-2444
Open Access | Times Cited: 102
EfficientNet convolutional neural networks-based Android malware detection
Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, et al.
Computers & Security (2022) Vol. 115, pp. 102622-102622
Closed Access | Times Cited: 102
Malware Detection Issues, Challenges, and Future Directions: A Survey
Faitouri A. Aboaoja, Anazida Zainal, Fuad A. Ghaleb, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8482-8482
Open Access | Times Cited: 99
Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks
Ghazal Shamsipour, Shervan Fekri-Ershad, Mahdi Sharifi, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 3, pp. 2607-2620
Closed Access | Times Cited: 30
A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection
Rizwan Ali, A. Manikandan, Rui Lei, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 26
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
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Inzamam Mashood Nasir, Muhammad Attique Khan, Mussarat Yasmin, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6793-6793
Open Access | Times Cited: 98
Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection
Robertas Damaševičius, Algimantas Venčkauskas, Jevgenijus Toldinas, et al.
Electronics (2021) Vol. 10, Iss. 4, pp. 485-485
Open Access | Times Cited: 90
Windows PE Malware Detection Using Ensemble Learning
Nureni Ayofe Azeez, Oluwanifise Ebunoluwa Odufuwa, Sanjay Misra, et al.
Informatics (2021) Vol. 8, Iss. 1, pp. 10-10
Open Access | Times Cited: 78
Android Mobile Malware Detection Using Machine Learning: A Systematic Review
Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri
Electronics (2021) Vol. 10, Iss. 13, pp. 1606-1606
Open Access | Times Cited: 73
Data augmentation based malware detection using convolutional neural networks
Ferhat Özgür Çatak, Javed Ahmed, Kevser ŞAHİNBAŞ, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e346-e346
Open Access | Times Cited: 63
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Lakshmana Kumar Ramasamy, Shynu Gopalan Padinjappurathu, Seifedine Kadry, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e456-e456
Open Access | Times Cited: 61
Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices
Hasan Alkahtani, Theyazn H. H. Aldhyani
Sensors (2022) Vol. 22, Iss. 6, pp. 2268-2268
Open Access | Times Cited: 57
A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
Chaitanya Gupta, Ishita Johri, Kathiravan Srinivasan, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 2017-2017
Open Access | Times Cited: 57
A two‐stage deep learning framework for image‐based android malware detection and variant classification
Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, et al.
Computational Intelligence (2022) Vol. 38, Iss. 5, pp. 1748-1771
Closed Access | Times Cited: 48
A Malware Detection Approach Using Autoencoder in Deep Learning
Xiaofei Xing, Xiang Jin, Haroon Elahi, et al.
IEEE Access (2022) Vol. 10, pp. 25696-25706
Open Access | Times Cited: 47
A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks
Safa Ben Atitallah, Maha Driss, Iman Almomani
Sensors (2022) Vol. 22, Iss. 11, pp. 4302-4302
Open Access | Times Cited: 43
Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification
Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham
Journal of Information Security and Applications (2022) Vol. 69, pp. 103306-103306
Closed Access | Times Cited: 40
ConRec: malware classification using convolutional recurrence
Abhishek Mallik, Anavi Khetarpal, Sanjay Kumar
Journal of Computer Virology and Hacking Techniques (2022) Vol. 18, Iss. 4, pp. 297-313
Closed Access | Times Cited: 38
CSID: A Novel Multimodal Image Fusion Algorithm for Enhanced Clinical Diagnosis
Shah Rukh Muzammil, Sarmad Maqsood, Shahab Haider, et al.
Diagnostics (2020) Vol. 10, Iss. 11, pp. 904-904
Open Access | Times Cited: 51
Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models
Walid El‐Shafai, Iman Almomani, Aala Alkhayer
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6446-6446
Open Access | Times Cited: 45
A multi-view feature fusion approach for effective malware classification using Deep Learning
Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham
Journal of Information Security and Applications (2022) Vol. 72, pp. 103402-103402
Closed Access | Times Cited: 27
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