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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:

Generating Synthetic Dataset for ML-Based IDS Using CTGAN and Feature Selection to Protect Smart IoT Environments
Saleh Alabdulwahab, Young-Tak Kim, Aria Seo, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10951-10951
Open Access | Times Cited: 13

Showing 13 citing articles:

The good, the bad, and the algorithm: The impact of generative AI on cybersecurity
Luigi Coppolino, Salvatore D’Antonio, Giovanni Mazzeo, et al.
Neurocomputing (2025) Vol. 623, pp. 129406-129406
Open Access | Times Cited: 1
Study on gas-oil ratio prediction considering the influence of imbalance data
Yuanlei Ni, He Zhang, Yihui Han, et al.
Petroleum Science and Technology (2025), pp. 1-20
Closed Access
The Effect of Generating Synthetic Data in Smart City Network Systems
Pavel Čech, Daniela Ponce, Peter Mikulecký, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Open Access
The Use of Synthetic Data in the Development of a Webshop User Profiling System
Marcin Gabryel, Dawid Lada, Milan Kocić
Lecture notes in computer science (2025), pp. 76-84
Closed Access
Accelerating User Profiling in E-Commerce Using Conditional GAN Networks for Synthetic Data Generation
Marcin Gabryel, Eliza Kocić, Milan Kocić, et al.
Journal of Artificial Intelligence and Soft Computing Research (2024) Vol. 14, Iss. 4, pp. 309-319
Open Access | Times Cited: 1
Securing the Metaverse: A Deep Reinforcement Learning and Generative Adversarial Network Approach to Intrusion Detection
Tarek Ali, Mohammed Al-Khalidi, Rabab Al-Zaidi, et al.
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2024), pp. 263-268
Closed Access | Times Cited: 1
Software Weakness Detection in Solidity Smart Contracts Using Control and Data Flow Analysis: A Novel Approach with Graph Neural Networks
Aria Seo, Young-Tak Kim, Ji Seok Yang, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3162-3162
Open Access | Times Cited: 1
Privacy-Preserving Synthetic Data Generation Method for IoT-Sensor Network IDS Using CTGAN
Saleh Alabdulwahab, Young-Tak Kim, Yunsik Son
Sensors (2024) Vol. 24, Iss. 22, pp. 7389-7389
Open Access | Times Cited: 1
A Comprehensive Survey on Generative AI Solutions in IoT Security
Juan Luis López Delgado, Juan Antonio López Ramos
Electronics (2024) Vol. 13, Iss. 24, pp. 4965-4965
Open Access | Times Cited: 1
Robust Prediction Method for Pedestrian Trajectories in Occluded Video Scenarios
Aria Seo, Hyeonjin Jeon, Yunsik Son
Research Square (Research Square) (2024)
Open Access
Enhanced Vision-Based Taillight Signal Recognition for Analyzing Forward Vehicle Behavior
Aria Seo, Seunghyun Woo, Yunsik Son
Sensors (2024) Vol. 24, Iss. 16, pp. 5162-5162
Open Access
Enhancing deep learning-based side-channel analysis using feature engineering in a fully simulated IoT system
Saleh Alabdulwahab, Mathew Cheong, Aria Seo, et al.
Expert Systems with Applications (2024) Vol. 266, pp. 126079-126079
Closed Access
The Design of Cross-border E-commerce Smart Internet of Things System Architecture Based on Cloud Computing Technology
Fei Lei, Mingxiu Huang, Hui Tian, et al.
(2023) Vol. 49, pp. 130-134
Closed Access
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