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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:

Comparison of Adaboost with MultiBoosting for Phishing Website Detection
Abdülhamit Subaşı, Emir Kremić
Procedia Computer Science (2020) Vol. 168, pp. 272-278
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A comprehensive survey of AI-enabled phishing attacks detection techniques
Abdul Basit, Maham Zafar, Xuan Liu, et al.
Telecommunication Systems (2020) Vol. 76, Iss. 1, pp. 139-154
Open Access | Times Cited: 260
Smart Phishing Detection in Web Pages using Supervised Deep Learning Classification and Optimization Technique ADAM
L. Lakshmi, M. Purushotham Reddy, Chukka Santhaiah, et al.
Wireless Personal Communications (2021) Vol. 118, Iss. 4, pp. 3549-3564
Closed Access | Times Cited: 142
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
A hybrid DNN–LSTM model for detecting phishing URLs
Alper Özcan, Cagatay Catal, Emrah Dönmez, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 7, pp. 4957-4973
Open Access | Times Cited: 79
SPEAR SIEM: A Security Information and Event Management system for the Smart Grid
Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Eider Iturbe, et al.
Computer Networks (2021) Vol. 193, pp. 108008-108008
Open Access | Times Cited: 64
Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites
K.R. Rao, Routhu Srinivasa Rao, Ajith Abraham, et al.
IEEE Access (2022) Vol. 10, pp. 79543-79552
Open Access | Times Cited: 35
A deep hybrid learning model for detection of cyber attacks in industrial IoT devices
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 5-6, pp. 1973-1983
Closed Access | Times Cited: 31
Phishing URLs Detection Using Sequential and Parallel ML Techniques: Comparative Analysis
Naya Nagy, Malak Aljabri, Afrah Shaahid, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3467-3467
Open Access | Times Cited: 18
Machine LearningTechniquesfor Detection of Website Phishing: A Review for Promises and Challenges
Ammar Odeh, Ismail Keshta, Eman Abdelfattah
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2021), pp. 0813-0818
Closed Access | Times Cited: 40
Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning
Pankaj Pandey, Nishchol Mishra
International Journal of Information Security (2023) Vol. 22, Iss. 4, pp. 881-891
Closed Access | Times Cited: 15
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
Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms
Hossein Shirazi, Shashika R. Muramudalige, Indrakshi Ray, et al.
IEEE Transactions on Services Computing (2023) Vol. 16, Iss. 4, pp. 2411-2422
Closed Access | Times Cited: 12
A Machine Learning Approach to Identifying Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques
Padma Jyothi Uppalapati, Bhogesh Karthik Gontla, P. N. Gundu, et al.
ICST Transactions on Scalable Information Systems (2023)
Open Access | Times Cited: 12
The State of the Art in AI-Based Phishing Detection: A Systematic Literature Review
Mohammed Fahad Alghenaim, Gamal Alkawsi, Christopher R. Barnhart
Studies in computational intelligence (2025), pp. 431-458
Closed Access
Phishing Website Detection: An In‐Depth Investigation of Feature Selection and Deep Learning
Seyed Amin Mousavi, Mahdi Bahaghighat
Expert Systems (2025) Vol. 42, Iss. 3
Closed Access
Phishing Detection Methods
Sally Dafaalla Awadalkarim Abualgasim, Zeinab E. Ahmed
IGI Global eBooks (2025), pp. 25-48
Closed Access
Consumer Awareness and Willingness Toward Smart Home Automation
Rahul Dhaigude, Ruby Chanda
Lecture notes in networks and systems (2025), pp. 211-221
Closed Access
Enhancing Phishing Website Detection Through Multi-Classifier Integration and Comparative Analysis of Data Mining Techniques
Rahul Dhaigude, Ruby Chanda
Lecture notes in networks and systems (2025), pp. 165-175
Closed Access
A Concise Survey on Modern Web‐Based Phishing Techniques and Advanced Mitigation Strategies
Dhanavanthini Panneerselvam, Sibi Chakkaravarthy Sethuraman, Alfred E. Emerson, et al.
Transactions on Emerging Telecommunications Technologies (2025) Vol. 36, Iss. 4
Closed Access
HTTP header based phishing attack detection using machine learning
Sanjeev Kumar Shukla, Manoj Misra, Gaurav Varshney
Transactions on Emerging Telecommunications Technologies (2023) Vol. 35, Iss. 1
Closed Access | Times Cited: 9
Enhancing cybersecurity: A review and comparative analysis of convolutional neural network approaches for detecting URL-based phishing attacks
Manika Nanda, Mala Saraswat, Pankaj Sharma
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100533-100533
Open Access | Times Cited: 3
Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification
Abdullah A. Asiri, Bilal Khan, Fazal Muhammad, et al.
Intelligent Automation & Soft Computing (2022) Vol. 36, Iss. 1, pp. 299-312
Open Access | Times Cited: 15
An Ensemble Method for Phishing Websites Detection Based on XGBoost
Jiaqi Gu, Hui Xu
(2022)
Closed Access | Times Cited: 12
Machine Learning and Deep Learning Based Phishing Websites Detection: The Current Gaps and Next Directions
Kibreab Adane, Berhanu Beyene
Review of Computer Engineering Research (2022) Vol. 9, Iss. 1, pp. 13-29
Open Access | Times Cited: 11
Prevention of Phishing attacks using AI Algorithm
Meraj Farheen Ansari, Amrutanshu Panigrahi, Geethamanikanta Jakka, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 11
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