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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:

Recursive Feature Elimination with Cross-Validation with Decision Tree: Feature Selection Method for Machine Learning-Based Intrusion Detection Systems
Mohammed Awad, F.M.A. Salam
Journal of Sensor and Actuator Networks (2023) Vol. 12, Iss. 5, pp. 67-67
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
Arezou Naghib, Farhad Soleimanian Gharehchopogh, Azadeh Zamanifar
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 1
An Explainable XGBoost Model for International Roughness Index Prediction and Key Factor Identification
Bin Lv, Haixia Gong, Dong Bin, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1893-1893
Open Access | Times Cited: 1
Bitterling fish optimization (BFO) algorithm
Lida Zareian, Javad Rahebi, Mohammad Javad Shayegan
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 75893-75926
Open Access | Times Cited: 8
Detecting False Data Injection Attacks Using Machine Learning-Based Approaches for Smart Grid Networks
MD Jainul Abudin, Surmila Thokchom, R. T. Naayagi, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4764-4764
Open Access | Times Cited: 8
Advancing XSS Detection in IoT over 5G: A Cutting-Edge Artificial Neural Network Approach
Rabee Alquran, Mahmoud AlJamal, Issa Al-Aiash, et al.
IoT (2024) Vol. 5, Iss. 3, pp. 478-508
Open Access | Times Cited: 5
Early childhood caries risk prediction using machine learning approaches in Bangladesh
Faeza Lafta Hasan, Maha El Tantawi, Farzana Haque, et al.
BMC Oral Health (2025) Vol. 25, Iss. 1
Open Access
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Process management in diabetes treatment by blending technique
Yunus Hazar, Ömer Faruk Ertuğrul
Computers in Biology and Medicine (2025) Vol. 190, pp. 110034-110034
Closed Access
Automated Network Incident Identification through Genetic Algorithm-Driven Feature Selection
Ahmet Aksoy, Luis Del Valle, Gorkem Kar
Electronics (2024) Vol. 13, Iss. 2, pp. 293-293
Open Access | Times Cited: 4
ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach
Md Arif Hossain, Shajreen Tabassum Diya, Riasat Khan
Computer Methods and Programs in Biomedicine Update (2025), pp. 100173-100173
Open Access
Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling
Geoffrey Olweny, Moses Levi Ntayi, Edward Kyalo, et al.
STAR Protocols (2025) Vol. 6, Iss. 1, pp. 103574-103574
Closed Access
Artificial intelligence-enabled obesity prediction: A systematic review of cohort data analysis
Sharareh Rostam Niakan Kalhori, Farid Najafi, Hajar Hasannejadasl, et al.
International Journal of Medical Informatics (2025) Vol. 196, pp. 105804-105804
Closed Access
R2-LGBM: Sales Informative Prediction System in E-commerce Application Using Ensemble Classifier
Hemn Barzan Abdalla
Lecture notes in computer science (2025), pp. 63-76
Closed Access
The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction
Yu Fu, Zhihao Fan, Xiangzhi Li, et al.
Land (2025) Vol. 14, Iss. 4, pp. 722-722
Open Access
An efficient intrusion detection systems in fog computing using forward selection and BiLSTM
Fadi Abu Zwayed, Mohammed Anbar, Selvakumar Manickam, et al.
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 4, pp. 2586-2603
Open Access | Times Cited: 3
Predictive Modeling of Student Performance Using RFECV-RF for Feature Selection and Machine Learning Techniques
Abdellatif HARIF, Moulay Abdellah Kassimi
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access | Times Cited: 3
Machine Learning Prediction of Permeability Distribution in the X Field Malay Basin Using Elastic Properties
Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, et al.
Results in Engineering (2024), pp. 103421-103421
Open Access | Times Cited: 3
GK index: bridging Gf and K indices for comprehensive author evaluation
Ghulam Mustafa, Abid Rauf, Muhammad Tanvir Afzal
Knowledge and Information Systems (2024) Vol. 66, Iss. 9, pp. 5203-5238
Closed Access | Times Cited: 2
A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems
Milan Samantaray, Ram Chandra Barik, Anil Kumar Biswal
Decision Analytics Journal (2024) Vol. 11, pp. 100478-100478
Open Access | Times Cited: 2
Ensemble methods with feature selection and data balancing for improved code smells classification performance
Pravin Singh Yadav, Rajwant Singh Rao, Alok Mishra, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109527-109527
Open Access | Times Cited: 2
Novel framework of significant risk factor identification and cardiovascular disease prediction
Soham Bandyopadhyay, A Samanta, Monalisa Sarma, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125678-125678
Closed Access | Times Cited: 2
The Application of Supervised Learning Algorithms in Predicting the Formation Energy of NLO Crystals
Ai Wang, Yaohui Yin, Zhixin Sun, et al.
Advanced Theory and Simulations (2024) Vol. 7, Iss. 8
Closed Access | Times Cited: 1
Towards Robust IDSs: An Integrated Approach of Hybrid Feature Selection and Machine Learning
Mohammad Al-Omari, Qasem Abu Al‐Haija
Journal of Internet Services and Information Security (2024) Vol. 14, Iss. 3, pp. 47-67
Open Access | Times Cited: 1
Advancements in Precision Oncology: AI and Machine Learning Applications in Digital Pathology
Zamart Ramazanova, Assem Ashimova, Yeldar Baiken, et al.
(2024)
Open Access | Times Cited: 1
Reliable feature selection for adversarially robust cyber-attack detection
João Vitorino, Miguel Silva, Eva Maia, et al.
Annals of Telecommunications (2024) Vol. 80, Iss. 3-4, pp. 341-355
Open Access | Times Cited: 1
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