Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators
Eman Abdullah Aldakheel, Mohammed Zakariah, Ghada Abdalaziz Gashgari, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4403-4403
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics
Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2024) Vol. 12, pp. 8373-8389
Open Access | Times Cited: 11
Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review
Zinniya Taffannum Pritee, Mehedi Hasan Anik, Saida Binta Alam, et al.
Computers & Security (2024) Vol. 140, pp. 103747-103747
Closed Access | Times Cited: 11
URL based phishing attack detection using BiLSTM-gated highway attention block convolutional neural network
Manika Nanda, Shivani Goel
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69345-69375
Closed Access | Times Cited: 5
Develop a hybrid improved weighted quantum wolf optimization and fast mask recurrent convolutional neural network toenhance the performance of phishing malicious video detection
C. Rajeswary, M. Thirumaran
Journal of Industrial and Management Optimization (2025)
Open Access
Critical Strategies for Phishing Defense and Digital Asset Protection
N. V. Keerthana, P. Suresh, Madhumitha Kulandaivel, et al.
IGI Global eBooks (2025), pp. 221-244
Closed Access
Phishing Email Detection Model Using Deep Learning
Samer Atawneh, Hamzah Aljehani
Electronics (2023) Vol. 12, Iss. 20, pp. 4261-4261
Open Access | Times Cited: 12
Enhancing Phishing Detection in Cloud Environments Using RNN-LSTM in a Deep Learning Framework
Oussama Senouci, Nadjib Benaouda
Journal of Telecommunications and Information Technology (2025)
Open Access
A Phishing Website Detection System Based on Hybrid Feature Engineering with SHAP Explainable Artificial Intelligence Technique
Norah Alsuqayh, Abdulrahman Mirza, Areej Alhogail
Lecture notes in computer science (2025), pp. 3-17
Closed Access
Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning
Maruf Ahmed Tamal, Md Kamrul Islam, Touhid Bhuiyan, et al.
Frontiers in Computer Science (2024) Vol. 6
Open Access | Times Cited: 3
Network Security Enhanced with Deep Neural Network-Based Intrusion Detection System
Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 1457-1490
Open Access | Times Cited: 3
Intrusion Detection with deep learning: A literature review
Brahim Khalil Sedraoui, Abdelmadjid Benmachiche, Amina Makhlouf, et al.
(2024) Vol. 7, pp. 1-8
Closed Access | Times Cited: 2
Towards Automating the Identification of Sustainable Projects Seeking Financial Support: An AI-Powered Approach
Hojat Behrooz, Carlo Lipizzi, George P. Korfiatis, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9701-9701
Open Access | Times Cited: 5
A hybrid deep learning technique for spoofing website URL detection in real-time applications
Bridget C. Ujah-Ogbuagu, Akande Noah Oluwatobi, Emeka Ogbuju
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
A Two-Stage Hybrid Approach for Phishing Attack Detection Using URL and Content Analysis in IoT
Sahar Yousif Mohammed, Mohammad Aljanabi, Maad M. Mijwil, et al.
BIO Web of Conferences (2024) Vol. 97, pp. 00059-00059
Open Access | Times Cited: 1
Hybrid optimization enabled squeeze net for phishing attack detection
Naresh Kamble, Nilamadhab Mishra
Computers & Security (2024) Vol. 144, pp. 103901-103901
Closed Access | Times Cited: 1
Walkthrough phishing detection techniques
Tejveer Singh, Manoj Kumar, Santosh Kumar
Computers & Electrical Engineering (2024) Vol. 118, pp. 109374-109374
Closed Access | Times Cited: 1
A Study on Adversarial Sample Resistance and Defense Mechanism for Multimodal Learning-Based Phishing Website Detection
Phan The Duy, Võ Quang Minh, Bui Tan Hai Dang, et al.
IEEE Access (2024) Vol. 12, pp. 137805-137824
Open Access | Times Cited: 1
Novel interpretable and robust web-based AI platform for phishing email detection
Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109625-109625
Open Access | Times Cited: 1
FDN-SA: Fuzzy Deep Neural-Stacked Autoencoder-based Phishing Attack Detection in Social Engineering
P. Vidyasri, Suresh Kumar S
Computers & Security (2024) Vol. 148, pp. 104188-104188
Closed Access | Times Cited: 1
Detection of fake web pages and phishing attacks with rabbit optimization algorithm
Leyla Shahba, Ahmad Heidary-Sharifabad, Mohammadreza Mollahoseini Ardakani
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access | Times Cited: 1
Shark-Eyes: A multimodal fusion framework for multi-view-based phishing website detection
Minh Vo Quang, Bui Tan Hai Dang, Ngan Tran Kim Ngoc, et al.
(2023)
Closed Access | Times Cited: 2
A survey of deep learning models, datasets, and applications for cyber attack detection
Jaydeep R. Tadhani, Vipul Vekariya
AIP conference proceedings (2024) Vol. 3107, pp. 050012-050012
Closed Access
A Developed Model Based on Machine Learning Algorithms for Phishing Website Detection
Hussein Abdel-Jaber, Hussein Al Bazar, Muawya Naser
Recent Advances in Computer Science and Communications (2024) Vol. 18, Iss. 2
Closed Access
Phishing URLs Detection Method Using Hybrid Feature and Convolutional Neural Networks with Attention Mechanisms
Santosh Kumar Birthriya, Priyanka Ahlawat, Ankit Kumar Jain
Communications in computer and information science (2024), pp. 290-303
Closed Access
A Hybrid Framework for Improved Weighted Quantum Particle Swarm Optimization and Fast Mask Recurrent CNN to Enhance Phishing-URL Prediction Performance
S. Senthil Kumar, Prakash Muthusamy, Michael Jerald
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top