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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:

Explainable Artificial Intelligence-Based IoT Device Malware Detection Mechanism Using Image Visualization and Fine-Tuned CNN-Based Transfer Learning Model
Hamad Naeem, Bandar Alshammari, Farhan Ullah
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 21

Showing 21 citing articles:

A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 182
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani, et al.
IEEE Access (2022) Vol. 10, pp. 93104-93139
Open Access | Times Cited: 161
Explainable AI approaches in deep learning: Advancements, applications and challenges
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109246-109246
Closed Access | Times Cited: 16
Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification
Hamad Naeem, Shi Dong, Olorunjube James Falana, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119952-119952
Closed Access | Times Cited: 35
SDIF-CNN: Stacking deep image features using fine-tuned convolution neural network models for real-world malware detection and classification
Sanjeev Kumar, Kajal Panda
Applied Soft Computing (2023) Vol. 146, pp. 110676-110676
Closed Access | Times Cited: 16
A new method for tuning the CNN pre-trained models as a feature extractor for malware detection
Halit Bakır
Pattern Analysis and Applications (2025) Vol. 28, Iss. 1
Closed Access
CoxNAM: An interpretable deep survival analysis model
Liangchen Xu, Chonghui Guo
Expert Systems with Applications (2023) Vol. 227, pp. 120218-120218
Closed Access | Times Cited: 12
Joint IoT/ML Platforms for Smart Societies and Environments: A Review on Multimodal Information-Based Learning for Safety and Security
Hani Attar
Journal of Data and Information Quality (2023) Vol. 15, Iss. 3, pp. 1-26
Closed Access | Times Cited: 11
Analyzing and Explaining Black-Box Models for Online Malware Detection
Harikha Manthena, Jeffrey C. Kimmel, Mahmoud Abdelsalam, et al.
IEEE Access (2023) Vol. 11, pp. 25237-25252
Open Access | Times Cited: 10
Towards Securing Smart Homes: A Systematic Literature Review of Malware Detection Techniques and Recommended Prevention Approach
Omar Alshamsi, Khaled Shaalan, Usman Javed Butt
Information (2024) Vol. 15, Iss. 10, pp. 631-631
Open Access | Times Cited: 3
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
A novel method of detecting malware on Android mobile devices with explainable artificial intelligence
Seema Sachin Vanjire, M. Lakshmi
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 3, pp. 2019-2026
Open Access | Times Cited: 1
Discovering Tampered Image in Social Media Using ELA and Deep Learning
Sunen Chakraborty, Kingshuk Chatterjee, Paramita Dey
SN Computer Science (2022) Vol. 3, Iss. 5
Closed Access | Times Cited: 6
Hotspots and Current Status of Global Explainable Artificial Intelligence: A Bibliometric Analysis
Zheng Qiu, Yuhao Qin
(2024), pp. 583-588
Closed Access
Enhanced slime mould optimization with convolutional BLSTM autoencoder based malware classification in intelligent systems
Shtwai Alsubai, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait, et al.
Expert Systems (2024) Vol. 42, Iss. 1
Closed Access
Methods, Techniques, and Application of Explainable Artificial Intelligence
Ankur Dumka, Vaibhav Chaudhari, Anil Kumar Bisht, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 337-354
Closed Access
Explainable Deep Learning Models for Dynamic and Online Malware Classification
Quincy Card, Daniel Simpson, Kshitiz Aryal, et al.
(2024), pp. 182-189
Open Access
Machine Learning, Malware Detection: SecureAI
N. Ashwin Kashyap, Anita Budhiraja, S. Singh
Lecture notes in networks and systems (2024), pp. 341-353
Closed Access
Advanced Image Enhancement Techniques for Small Object Detection in Synthetic Aperture Radar (SAR) Imagery
Zeba Khan, Javed Sheikh, Abdul Rahman
Advances in IT standards and standardization research (AISSR) book series/Advances in IT standards and standardization research series (2024), pp. 233-258
Closed Access
Selecting Explanation Methods for Intelligent IoT Systems: A Case-Based Reasoning Approach
Humberto Parejas-Llanovarced, Jesús M. Darias, Marta Caro-Martínez, et al.
Lecture notes in computer science (2023), pp. 185-199
Closed Access | Times Cited: 1
Pengenalan Pola Serangan pada Internet of Thing (IoT) Menggunakan Support Vector Mechine (SVM) dengan Tiga Kernel
Tasmi Tasmi, Ferry Antony, Dhamyanti Dhamyanti, et al.
Jurnal Processor (2023) Vol. 18, Iss. 2
Open Access
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