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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:

Spam filtering using a logistic regression model trained by an artificial bee colony algorithm
Bilge Kagan Dedetürk, Bahriye Akay
Applied Soft Computing (2020) Vol. 91, pp. 106229-106229
Closed Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

A review of spam email detection: analysis of spammer strategies and the dataset shift problem
Francisco Jáñez-Martino, Rocío Aláiz-Rodríguez, Víctor González‐Castro, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1145-1173
Open Access | Times Cited: 70
A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems
Bahriye Akay, Derviş Karaboğa, Beyza Görkemli, et al.
Applied Soft Computing (2021) Vol. 106, pp. 107351-107351
Closed Access | Times Cited: 89
EWOA-OPF: Effective Whale Optimization Algorithm to Solve Optimal Power Flow Problem
Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 2975-2975
Open Access | Times Cited: 77
A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks
Faisal Hussain, Syed Ghazanfar Abbas, Ivan Miguel Pires, et al.
IEEE Access (2021) Vol. 9, pp. 163412-163430
Open Access | Times Cited: 73
A systematic literature review on spam content detection and classification
Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e830-e830
Open Access | Times Cited: 65
Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering
Nebojša Bačanin, Miodrag Živković, Cătălin Stoean, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4173-4173
Open Access | Times Cited: 55
Efficient spam and phishing emails filtering based on deep learning
Safaa Magdy, Yasmine Abouelseoud, Mervat Mikhail
Computer Networks (2022) Vol. 206, pp. 108826-108826
Closed Access | Times Cited: 46
Hyperparameter Optimization of Ensemble Models for Spam Email Detection
Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1971-1971
Open Access | Times Cited: 32
An Efficient Computational Risk Prediction Model of Heart Diseases Based on Dual-Stage Stacked Machine Learning Approaches
Subhash Mondal, Ranjan Maity, Yachang Omo, et al.
IEEE Access (2024) Vol. 12, pp. 7255-7270
Open Access | Times Cited: 14
Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy
Warda M. Shaban, Asmaa H. Rabie, Ahmed I. Saleh, et al.
Pattern Recognition (2021) Vol. 119, pp. 108110-108110
Open Access | Times Cited: 51
Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis
Burak Kolukısa, Burcu Bakır-Güngör
Computer Standards & Interfaces (2022) Vol. 84, pp. 103706-103706
Closed Access | Times Cited: 34
A novel approach for spam detection using horse herd optimization algorithm
Ali Hosseinalipour, Reza Ghanbarzadeh
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 13091-13105
Open Access | Times Cited: 33
Training Logistic Regression Model by Enhanced Moth Flame Optimizer for Spam Email Classification
Mohamed Salb, Luka Jovanovic, Miodrag Živković, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 753-768
Closed Access | Times Cited: 28
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
Francisco Jáñez-Martino, Rocío Aláiz-Rodríguez, Víctor González‐Castro, et al.
Applied Soft Computing (2023) Vol. 139, pp. 110226-110226
Open Access | Times Cited: 20
A Novel Methodology for Human Kinematics Motion Detection Based on Smartphones Sensor Data Using Artificial Intelligence
Ali Raza, Mohammad Rustom Al Nasar, Essam Said Hanandeh, et al.
Technologies (2023) Vol. 11, Iss. 2, pp. 55-55
Open Access | Times Cited: 16
Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm
Ghaith Manita, Amit Chhabra, Ouajdi Korbaa
Applied Soft Computing (2023) Vol. 144, pp. 110478-110478
Closed Access | Times Cited: 16
An Efficient Spam and Phishing Email Filtering Approach using Deep Learning and Bio-inspired Particle Swarm Optimization
Santosh Kumar Birthriya, Priyanka Ahlawat, Ankit Kumar Jain
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 605-616
Open Access | Times Cited: 6
Intelligent Spam Filtering and Analysis Using Web Automation, ReportLab, and Ensemble Machine Learning Techniques
Sathvik Eppakayala, Shiva Kumar Goud Ankula
Research Square (Research Square) (2025)
Closed Access
Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language
Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, Akbal Omran Salman
Journal of Intelligent Systems (2021) Vol. 30, Iss. 1, pp. 774-792
Open Access | Times Cited: 34
Improving spam email classification accuracy using ensemble techniques: a stacking approach
Muhammad Adnan, Muhammad Osama Imam, Muhammad Furqan Javed, et al.
International Journal of Information Security (2023) Vol. 23, Iss. 1, pp. 505-517
Open Access | Times Cited: 15
Evaluating Machine LearningWorkloads on Memory-Centric Computing Systems
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, et al.
(2023), pp. 35-49
Closed Access | Times Cited: 14
Training Logistic Regression Model by Hybridized Multi-verse Optimizer for Spam Email Classification
Miodrag Živković, Aleksandar Petrović, Nebojša Bačanin, et al.
Lecture notes in networks and systems (2023), pp. 507-520
Closed Access | Times Cited: 13
A two-step method to reduce misclassification and uncertainty in spam filtering using two-way classification and probabilistic rough set methods
T. V. Soumya, M. K. Sabu
Intelligent Decision Technologies (2025)
Closed Access
Relaxed naive Bayesian classifier based on maximum dependent attribute groups
Guiliang Ou, Yulin He, Yingchao Cheng, et al.
Information Sciences (2025), pp. 122013-122013
Closed Access
The Artificial Bee Colony Algorithm: A Comprehensive Survey of Variants, Modifications, Applications, Developments, and Opportunities
Ashraf Osman Ibrahim, Elsadig Mohammed Elbushra Elfadel, Mohamed Hashem, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
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