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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:

Phishing URL Detection: A Real-Case Scenario Through Login URLs
Manuel Sánchez-Paniagua, Eduardo Fidalgo, Enrique Alegre, et al.
IEEE Access (2022) Vol. 10, pp. 42949-42960
Open Access | Times Cited: 53

Showing 26-50 of 53 citing articles:

Mejoras en extracción de URLs en smishing mediante text spotting
Pablo Blanco Medina, Rubel Biswas, Víctor González Castro, et al.
(2024), Iss. 45
Open Access
Preprocesado de imagen y OCR para mejorar deteccion de smishing
Pablo Blanco Medina, Roberto A. Vasco-Carofilis, Eduardo Fidalgo, et al.
(2024), Iss. 45
Open Access
Detection of Phishing websites using various machine learning techniques
M. Eliazer, Haree Baalaji, Chalamcharla Naga Abhilash
AIP conference proceedings (2024) Vol. 3075, pp. 020102-020102
Closed Access
Movie recommendation system using content-based & collaborative-based filtering
M. Eliazer, Dinesh Gudimetla, Prakar Kaushik
AIP conference proceedings (2024) Vol. 3075, pp. 020091-020091
Closed Access
Detection of adversarial phishing attack using machine learning techniques
K. Muthamil Sudar, M Rohan, K. Vignesh
Sadhana (2024) Vol. 49, Iss. 3
Closed Access
Detecting Phishing URLs Using Machine Learning: A Review
Kritika Kapse, Meenu Chawla, Namita Tiwari, et al.
Lecture notes in networks and systems (2024), pp. 266-275
Closed Access
Efficient Malicious Website Detection Technique Using Stacking Ensemble of Machine Learning Models
Kartik Rajput, Manjesh Kumar Singh, Arjun Singh Rawat, et al.
Lecture notes in networks and systems (2024), pp. 233-247
Closed Access
An ensemble learning approach for detecting phishing URLs in encrypted TLS traffic
Cheemaladinne Kondaiah, Alwyn Roshan Pais, Routhu Srinivasa Rao
Telecommunication Systems (2024)
Closed Access
Heuristic machine learning approaches for identifying phishing threats across web and email platforms
Ramprasath Jayaprakash, Krishnaraj Natarajan, Alfred Daniel, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
An Efficient Detection of Phishing Website using Machine Learning
D. Menaga, Vijay Sreeparvathy, V. Vignesh, et al.
(2024), pp. 1189-1194
Closed Access
Staying ahead of phishers: a review of recent advances and emerging methodologies in phishing detection
S. Kavya, D. Sumathi
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access
Factors Influencing Frameworks for Social Cybersecurity Management. A Systematic Literature Review
Edgar Rodriguez, José Santisteban, Vicente Morales, et al.
Lecture notes in networks and systems (2024), pp. 162-179
Closed Access
Intelligent Methods in Phishing Website Detection: A Systematic Literature Review
Yeganeh Sattari, Gholamali Montazer
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Using Machine Learning to Detect and Classify URLs: A Phishing Detection Approach
Mahesh, Ananth, Dheepthi
(2023)
Closed Access | Times Cited: 1
An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM
Keisuke Sakai, Kosuke Takeshige, K. Katō, et al.
IEEE Access (2023) Vol. 11, pp. 111389-111401
Open Access | Times Cited: 1
OptiPhishDetect: Optimized Phishing Detection through Learning based GCN with Scoring Model

International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 863-873
Open Access | Times Cited: 1
Antenna Array Fault Detection Using Logistic Regression Technique
Atul M. Kulkarni, Garima Saini, Shyam S. Pattnaik
Communications in computer and information science (2023), pp. 13-29
Closed Access | Times Cited: 1
A Review on Malicious URLs Detection Using Machine Learning Methods
Tasfia Tabassum, Md. Mahbubul Alam, Md. Sabbir Ejaz, et al.
Journal of Engineering Research and Reports (2023) Vol. 25, Iss. 12, pp. 76-88
Open Access | Times Cited: 1
Hybrid Model Based Phishing Websites Detection Using Deep Learning Technique
Rabeya Sultana, Md. Ashiqur Rahman, Muhammad Ibrahim Khan
(2023)
Closed Access | Times Cited: 1
Detecting malware using text documents extracted from spam email through machine learning
Luis Ángel Redondo-Gutierrez, Francisco Jáñez-Martino, Eduardo Fidalgo, et al.
(2022), pp. 1-4
Closed Access | Times Cited: 2
BIMI specification as another technical approach in the fight against e-mail phishing
I. Dolnak, K. Kampova
2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA) (2022), pp. 129-134
Closed Access | Times Cited: 1
An Effective Phishing Site Prediction using Machine Learning
Aman Raj Pandey, Tushar Sharma, Subarna Basnet, et al.
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2022), pp. 611-616
Closed Access | Times Cited: 1
Feature extraction based ensemble stacking for combating cyber threat in phishing URLs
Dasari Siva Krishna, T. Lavanya, Renuka Kola, et al.
(2023), pp. 1-8
Closed Access
Detecting Phishing Websites Based on Machine Learning Techniques
Alexander Veach, Munther Abualkibash
Lecture notes in networks and systems (2023), pp. 513-522
Closed Access
A System Review on Fraudulent Website Detection Using Machine Learning Technique
P Saraswathi, J. V. Anchitaalagammai, R. Kavitha
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access

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