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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 Attacks Detection using Deep Learning Approach
Ishita Saha, Dhiman Sarma, Rana Joyti Chakma, et al.
2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) (2020), pp. 1180-1185
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions
Nguyet Quang, Ali Selamat, Ondřej Krejcar, et al.
IEEE Access (2022) Vol. 10, pp. 36429-36463
Open Access | Times Cited: 87
A systematic literature review on phishing website detection techniques
Asadullah Safi, Satwinder Singh
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 2, pp. 590-611
Open Access | Times Cited: 68
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
Abed Mutemi, Fernando Bação
Big Data Mining and Analytics (2024) Vol. 7, Iss. 2, pp. 419-444
Open Access | Times Cited: 16
Cloud-based email phishing attack using machine and deep learning algorithm
Umer Ahmed Butt, Rashid Amin, Hamza Aldabbas, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 3, pp. 3043-3070
Open Access | Times Cited: 52
An intelligent identification and classification system for malicious uniform resource locators (URLs)
Qasem Abu Al‐Haija, Mustafa Al‐Fayoumi
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 16995-17011
Open Access | Times Cited: 29
The COVID‐19 scamdemic: A survey of phishing attacks and their countermeasures during COVID‐19
Ali Fahad Al-Qahtani, Stefano Cresci
IET Information Security (2022) Vol. 16, Iss. 5, pp. 324-345
Open Access | Times Cited: 33
Personalized Book Recommendation System using Machine Learning Algorithm
Dhiman Sarma, Tanni Mittra, Mohammad Shahadat
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 34
Phishing Webpage Classification via Deep Learning-Based Algorithms: An Empirical Study
Nguyet Quang, Ali Selamat, Ondřej Krejcar, et al.
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 9210-9210
Open Access | Times Cited: 34
Phishing Email Detection Model Using Deep Learning
Samer Atawneh, Hamzah Aljehani
Electronics (2023) Vol. 12, Iss. 20, pp. 4261-4261
Open Access | Times Cited: 13
An Ensemble Voting Classifier Based On Machine Learning Models for Phishing Detection
Enas Mohammed Hussien Saeed
International Journal of Scientific Research in Science Engineering and Technology (2025) Vol. 12, Iss. 1, pp. 15-27
Open Access
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
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
Design of SMOTE Analysis‐Based Phishing Attack Detection Scheme for Web of Things Environment
Siddhant Thapliyal, Mukesh Singh, Mohammad Wazid, et al.
Security and Privacy (2025) Vol. 8, Iss. 2
Closed Access
Dengue Prediction using Machine Learning Algorithms
Dhiman Sarma, Sohrab Hossain, Tanni Mittra, et al.
(2020)
Closed Access | Times Cited: 32
Machine Learning Based Phishing Attacks Detection Using Multiple Datasets
Ashraf H. Aljammal, Salah Taamneh, Ahmad Qawasmeh, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2023) Vol. 17, Iss. 05, pp. 71-83
Open Access | Times Cited: 12
A Systematic Review on Deep-Learning-Based Phishing Email Detection
Kutub Thakur, Md Liakat Ali, Muath Obaidat, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4545-4545
Open Access | Times Cited: 12
Machine Learning Approach for Phishing Attack Detection
Tarun Shankar Choudhary, Siddhesh Mhapankar, Rohit Bhddha, et al.
Journal of Artificial Intelligence and Technology (2023)
Open Access | Times Cited: 11
Towards Securing Smart Homes: A Systematic Literature Review of Malware Detection Techniques and Recommended Prevention Approach
Omar Alshamsi, Khaled Shaalan, Usman Javed Butt
Information (2024) Vol. 15, Iss. 10, pp. 631-631
Open Access | Times Cited: 4
SI-BBA – A novel phishing website detection based on Swarm intelligence with deep learning
Parvathapuram Pavan Kumar, T. Jaya, V. Rajendran
Materials Today Proceedings (2021) Vol. 80, pp. 3129-3139
Closed Access | Times Cited: 23
Recent Advancements in Machine Learning for Cybercrime Prediction
Lavanya Elluri, Varun Mandalapu, Piyush Vyas, et al.
Journal of Computer Information Systems (2023), pp. 1-15
Open Access | Times Cited: 10
MDepthNet based phishing attack detection using integrated deep learning methodologies for cyber security enhancement
Anil Kumar Yamarthy, Ch Koteswararao
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6377-6395
Closed Access | Times Cited: 3
Enhanced Malicious Traffic Detection in Encrypted Communication Using TLS Features and a Multi-class Classifier Ensemble
Cheemaladinne Kondaiah, Alwyn Roshan Pais, Routhu Srinivasa Rao
Journal of Network and Systems Management (2024) Vol. 32, Iss. 4
Closed Access | Times Cited: 3
Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework
Lozan M. Abdulrahman, Sarkar Hasan Ahmed, Zryan Najat Rashid, et al.
Journal of Applied Science and Technology Trends (2023) Vol. 4, Iss. 01, pp. 54-71
Open Access | Times Cited: 8
Detecting Phishing Sites -- An Overview
P. Kalaharsha, B. M. Mehtre
arXiv (Cornell University) (2021)
Open Access | Times Cited: 19
Hybrid stacked autoencoder with dwarf mongoose optimization for Phishing attack detection in internet of things environment
Jawhara Aljabri, Nada Alzaben, Nadhem Nemri, et al.
Alexandria Engineering Journal (2024) Vol. 106, pp. 164-171
Closed Access | Times Cited: 2
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