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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 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

Showing 24 citing articles:

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
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
Hybrid deep learning for computational precision in cardiac MRI segmentation: Integrating Autoencoders, CNNs, and RNNs for enhanced structural analysis
Md Abu Sufian, Mingbo Niu
Computers in Biology and Medicine (2025) Vol. 186, pp. 109597-109597
Closed 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
Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model
Jimmy K. W. Wong, Kaman Chung, Yuen Wing Lo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Accelerated and Precise Skin Cancer Detection through an Enhanced Machine Learning Pipeline for Improved Diagnostic Accuracy
S M Masfequier Rahman Swapno, S. M. Nuruzzaman Nobel, Preeti Meena, et al.
Results in Engineering (2025), pp. 104168-104168
Open Access
A Transformer-Based Malicious Code Detection Model
Y. L. Li, Yuntao Zhao
Lecture notes in electrical engineering (2025), pp. 105-112
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
GBERT: A Hybrid Deep Learning Model Based on GPT-BERT for Fake News Detection
Pummy Dhiman, Amandeep Kaur, Deepali Gupta, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35865-e35865
Open Access | Times Cited: 3
The use of artificial intelligence algorithms to detect macroplastics in aquatic environments: A critical review
Miguel A. Astorayme, Ian Vázquez‐Rowe, Ramzy Kahhat
The Science of The Total Environment (2024) Vol. 945, pp. 173843-173843
Closed Access | Times Cited: 2
Segmentation and detection of skin cancer using deep learning-enabled artificial Namib beetle optimization
N. Raghava Rao, D. Vasumathi
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106605-106605
Closed Access | Times Cited: 2
A Novel Malware Detection Model in the Software Supply Chain Based on LSTM and SVMs
Shuncheng Zhou, Honghui Li, Xueliang Fu, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6678-6678
Open Access | Times Cited: 1
SecEdge: A Novel Deep Learning Framework for Real-Time Cybersecurity in Mobile IoT Environments
Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e40874-e40874
Closed Access | Times Cited: 1
Hardening behavioral classifiers against polymorphic malware: An ensemble approach based on minority report
Lara Mauri, Ernesto Damiani
Information Sciences (2024) Vol. 689, pp. 121499-121499
Open Access | Times Cited: 1
A Deep Learning Approach to PDF Malware Detection Enhanced with XAI
Gopalakrishnan Venkatesh, Fathima Noorudheen
Communications in computer and information science (2024), pp. 337-358
Closed Access | Times Cited: 1
DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection
Hatice Çatal Reis, Veysel Turk
Pattern Recognition (2024) Vol. 159, pp. 111182-111182
Closed Access | Times Cited: 1
A Detection Android Cybercrime Model utilizing Machine Learning Technology
Fahad Ghabban
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15344-15350
Open Access
Deep Learning-Based Microscopic Cell Detection using Inverse Distance Transform and Auxiliary Counting
Rui Liu, Wei Dai, Cong Wu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6092-6104
Closed Access
Detection and Analysis of Malicious Software Using Machine Learning Models
A. Ozturk, Selman Hızal
Sakarya University Journal of Computer and Information Sciences (2024) Vol. 7, Iss. 2, pp. 264-276
Open Access
A survey of deep learning techniques for detecting and recognizing objects in complex environments
Ashish Kumar Dogra, Vipul Sharma, Harsh Sohal
Computer Science Review (2024) Vol. 54, pp. 100686-100686
Closed Access
Performance evaluation of NLP and CNN models for disaster detection using social media data
Md. Azharul Islam, Fazla Rabbi, Niamat Ullah Ibne Hossain
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
Stacking model framework reveals clinical biochemical data and dietary behavior features associated with type 2 diabetes: A retrospective cohort study
Yong Fu, Xinghuan Liang, Xi Yang, et al.
APL Bioengineering (2024) Vol. 8, Iss. 4
Open Access
An Efficient Malware Classification Method Using Novel Deep Learning Model
Zinah Khalid Jasim Jasim, Sefer Kurnaz
AURUM Journal of Engineering Systems and Architecture (2024)
Closed Access
A novel case-based reasoning system for explainable lung cancer diagnosis
Abolfazl Bagheri Tofighi, Abbas Ahmadi, Hadi Mosadegh
Computers in Biology and Medicine (2024) Vol. 185, pp. 109547-109547
Closed Access
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