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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 1-25 of 53 citing articles:

Detecting Phishing Domains Using Machine Learning
Shouq Mohsen Alnemari, Majid Alshammari
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4649-4649
Open Access | Times Cited: 49
DEPHIDES: Deep Learning Based Phishing Detection System
Özgür Koray Şahingöz, Ebubekir Buber, Emin Kugu
IEEE Access (2024) Vol. 12, pp. 8052-8070
Open Access | Times Cited: 15
The applicability of a hybrid framework for automated phishing detection
Rob J. van der Geest, Giuseppe Cascavilla, Joris Hulstijn, et al.
Computers & Security (2024) Vol. 139, pp. 103736-103736
Open Access | Times Cited: 5
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
PhishURLDetect: A parameter efficient fine-tuning of LLMs using LoRA for detection of phishing URLs
Irshad Ali, Basant Subba
(2025), pp. 278-279
Closed Access
Web-based phishing URL detection model using deep learning optimization techniques
Kousik Barik, Sanjay Misra, R.S. Mohan
International Journal of Data Science and Analytics (2025)
Open Access
Uniform resource locator phishing detection using novel extreme gradient boosting algorithm in comparison with term frequency-inverse document frequency +N gram to improve accuracy
Srinivas Islavath, C. Rohith Bhat
AIP conference proceedings (2025) Vol. 3252, pp. 020057-020057
Closed Access
Spam email classification based on cybersecurity potential risk using natural language processing
Francisco Jáñez-Martino, Rocío Aláiz-Rodríguez, V́ıctor González-Castro, et al.
Knowledge-Based Systems (2025), pp. 112939-112939
Closed Access
Free-Phish: detecting phishing websites hosted on free web hosting domains
Rohit Lohar, Meenakshi Tripathi, Hossein Shirazi
International Journal of Computers and Applications (2025), pp. 1-7
Closed Access
PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification
F. Castaño, Eduardo Fidalgo, Rocío Aláiz-Rodríguez, et al.
IEEE Access (2023) Vol. 11, pp. 40779-40789
Open Access | Times Cited: 12
Phishing websites detection using a novel multipurpose dataset and web technologies features
Manuel Sánchez-Paniagua, Eduardo Fidalgo, Enrique Alegre, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 118010-118010
Open Access | Times Cited: 18
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: 2
Social Engineering Threat: Phishing Detection using Machine Learning Approach
M Spoorthi, Ramakrishna Hegde, S M Soumyasri
(2023), pp. 1-7
Closed Access | Times Cited: 4
Ensemble Learning-Powered URL Phishing Detection: A Performance Driven Approach
Shougfta Mushtaq Wajid, Tabassum Javed, Mazliham Mohd Su’ud
Journal of Informatics and Web Engineering (2024) Vol. 3, Iss. 2, pp. 134-145
Open Access | Times Cited: 1
A Phishing URL Detection Model based on Horse Herd Optimization and Random Forest Algorithms
P. Hemannth, Mukesh Chinta, S. Sarat Satya, et al.
(2024), pp. 926-931
Closed Access | Times Cited: 1
Improved Generative Adversarial Network for Phishing Attack Detection
L Shammi, C. Emilin Shyni
(2024), pp. 11-17
Closed Access | Times Cited: 1
DaE2: Unmasking Malicious URLs by Leveraging Diverse and Efficient Ensemble Machine Learning for Online Security
Abiodun Esther Omolara, Moatsum Alawida
Computers & Security (2024), pp. 104170-104170
Closed Access | Times Cited: 1
Smishing Strategy Dynamics and Evolving Botnet Activities in Japan
Ryu Saeki, Leo Kitayama, Jun Koga, et al.
IEEE Access (2022) Vol. 10, pp. 114869-114884
Open Access | Times Cited: 6
A Hybrid Transformer Ensemble Approach for Phishing Website Detection
Krishna Sahithi Mandapati, Meesala Sravani, Divya Maddela, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 2
Phishing Website Detection Using Several Machine Learning Algorithms: A Review Paper
Alexander Veach, Munther Abualkibash
International Journal of Informatics Information System and Computer Engineering (INJIISCOM) (2022) Vol. 3, Iss. 2, pp. 219-230
Open Access | Times Cited: 3
Phishing URL Detection using Machine Learning
Sri Hari Nallamala, Kommu Namitha, Kunchanapalli Raviteja, et al.
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 3, pp. 1984-1995
Open Access
The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web
Behzad Ousat, Esteban Schafir, Duc Hoang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1835-1846
Open Access
Detection Of phishing URLs using a Term Frequency Inverse Document Frequency (TF-IDF).
M - Sibhathallah, Sathya Srinivas D -
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 3
Open Access
ABCF: An Adaptive Balanced Multimodal Website Classification Framework
Zhiyuan Liu, Wei Liu, Xinyang Tong, et al.
(2024), pp. 79-84
Closed Access
Contrainteligência em Engenharia Social: Aprimorando a Defesa Cibernética da Sociedade
Demis D. Gomes, Gustavo H. Motta
(2024), pp. 125-131
Closed Access
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