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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:

Machine and Deep Learning-based XSS Detection Approaches: A Systematic Literature Review
Isam Kareem Thajeel, Khairulmizam Samsudin, Shaiful Jahari Hashim, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101628-101628
Open Access | Times Cited: 10

Showing 10 citing articles:

Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods
Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, A. S. Albahri, et al.
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 9
Unveiling XSS Threats: A Bipartite Graph Approach with Ensemble Deep Learning for Enhanced Detection
Wafa Alorainy
Information (2025) Vol. 16, Iss. 2, pp. 97-97
Open Access
Machine Learning-Driven Detection of Cross-Site Scripting Attacks
Rahmah Alhamyani, Majid Alshammari
Information (2024) Vol. 15, Iss. 7, pp. 420-420
Open Access | Times Cited: 3
Using an interpretable deep learning model for the prediction of riverine suspended sediment load
Zeinab Mohammadi-Raigani, Hamid Gholami, Aliakbar Mohamadifar, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32480-32493
Closed Access | Times Cited: 1
AlgoXSSF: Detection and Analysis of Cross-Site Request Forgery (XSRF) and Cross-Site Scripting (XSS) Attacks via Machine Learning Algorithms
Naresh Kshetri, Dilip Kumar, James Hutson, et al.
(2024), pp. 1-8
Open Access | Times Cited: 1
XSShield: A Novel Dataset and Lightweight Hybrid Deep Learning Model for XSS Attack Detection
Gia-Huy Luu, Minh-Khang Duong, Trong-Phuc Pham-Ngo, et al.
Results in Engineering (2024) Vol. 24, pp. 103363-103363
Open Access | Times Cited: 1
MC-MLDCNN: Multichannel Multilayer Dilated Convolutional Neural Networks for Web Attack Detection
Nazanin Moarref, Mehmet Tahir Sandıkkaya
Security and Communication Networks (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 2
DL-Based XSS Attack Detection Approach Using LSTM Neural Network with Word Embeddings
Maryam Et-Tolba, Charifa Hanin, Abdelhamid Belmekki
(2024) Vol. 11, pp. 1-6
Closed Access
An Assessment System for ML-Based XSS Attack Detection Models Between Accuracy Coverage and Data
Maryam Et-Tolba, Charifa Hanin, Abdelhamid Belmekki
Studies in computational intelligence (2024), pp. 441-452
Closed Access
Uncovering XSS Polyglot Payload Detection with Machine Learning: Advancing Web Security Against Complex Threats
D. Garg, Rohit Kaundal
Research Square (Research Square) (2024)
Closed Access
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