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:

Efficient intrusion detection using multi-player generative adversarial networks (GANs): an ensemble-based deep learning architecture
Raha Soleymanzadeh, Rasha Kashef
Neural Computing and Applications (2023) Vol. 35, Iss. 17, pp. 12545-12563
Closed Access | Times Cited: 10

Showing 10 citing articles:

Future of generative adversarial networks (GAN) for anomaly detection in network security: A review
Willone Lim, Kelvin S. C. Yong, Lau Bee Theng, et al.
Computers & Security (2024) Vol. 139, pp. 103733-103733
Open Access | Times Cited: 34

Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions
Xin Li, Lei Zhang, Jingsi Yang, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 231-243
Closed Access | Times Cited: 11

A Transformer-Based Model for Network Intrusion Detection: Architecture, Classification Heads, and Transformer Blocks
Nourhan M. Ibrahim, Sarama Shehmir, Aman Yadav, et al.
Lecture notes in electrical engineering (2025), pp. 149-163
Closed Access

One Dimensional Conv-BiLSTM Network with Attention Mechanism for IoT Intrusion Detection
BauyrzÒ»an Omarov, Zhuldyz SAILAUKYZY, Alfiya Bigaliyeva, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 3, pp. 3765-3781
Open Access | Times Cited: 3

DeepGAN: Utilizing generative adversarial networks for improved deep learning
Edward Naveen, A Jenefa, Thiyagu T.M, et al.
International Journal of Knowledge-based and Intelligent Engineering Systems (2024), pp. 1-17
Closed Access

Deep Learning-Based Network Intrusion Detection Systems: A Systematic Literature Review
Leonard L. Mutembei, Makhamisa Senekane, Terence L. van Zyl
Communications in computer and information science (2024), pp. 207-234
Closed Access

Improved convolution neural network integrating attention based deep sparse auto encoder for network intrusion detection
Zhiqiang Geng, Xueming Li, Bo Ma, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access

Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems
Waleed Ahmed, Qutaiba Alasad, J.S. Yuan, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 12, pp. 191-191
Open Access

Adversarial attack defense algorithm based on convolutional neural network
Chengyuan Zhang, Ping Wang
Neural Computing and Applications (2023) Vol. 36, Iss. 17, pp. 9723-9735
Closed Access | Times Cited: 1

Hybrid Optimization Based Convolutional Neural Network for Intrusion Detection System
N. Sureka, B. Girirajan, Komuravelly Sudheer Kumar, et al.
(2023), pp. 1-5
Closed Access

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