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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 Learning in NextG Networks via Generative Adversarial Networks
Ender Ayanoğlu, Kemal Davaslıoğlu, Yalin E. Sagduyu
IEEE Transactions on Cognitive Communications and Networking (2022) Vol. 8, Iss. 2, pp. 480-501
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Adversarial Machine Learning in Wireless Communications Using RF Data: A Review
Damilola Adesina, Chung-Chu Hsieh, Yalin E. Sagduyu, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 77-100
Open Access | Times Cited: 72
Model-Based Data Augmentation Applied to Deep Learning Networks for Classification of Micro-Doppler Signatures Using FMCW Radar
Neda Rojhani, Marco Passafiume, Mehdi SadeghiBakhi, et al.
IEEE Transactions on Microwave Theory and Techniques (2023) Vol. 71, Iss. 5, pp. 2222-2236
Open Access | Times Cited: 25
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
Abdulkadir Çelik, Ahmed M. Eltawil
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 2433-2489
Open Access | Times Cited: 10
Revolutionizing Drug Discovery: The Role of Artificial Intelligence and Machine Learning
Abhishek Verma, Ankit Awasthi
Current Pharmaceutical Design (2024) Vol. 30, Iss. 11, pp. 807-810
Closed Access | Times Cited: 7
Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges
Licheng Jiao, Y Shao, Long Sun, et al.
IEEE Access (2024) Vol. 12, pp. 133245-133314
Open Access | Times Cited: 7
Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey
Nada Abdel Khalek, Deemah H. Tashman, Walaa Hamouda
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 2, pp. 1201-1237
Closed Access | Times Cited: 15
Future prospective of neuromorphic computing in artificial intelligence: A review, methods, and challenges
Vivek Kumar, Kapil Joshi, Rajiv Kumar, et al.
Elsevier eBooks (2025), pp. 185-197
Closed Access
Advances in Non-Contact Human Vital Sign Detection:A Detailed Survey of Radar and Wireless Solutions
Lida Kouhalvandi, Saeid Karamzadeh
IEEE Access (2025) Vol. 13, pp. 27833-27851
Open Access
A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013–2024)
N. Sriraam, Babu Chinta, Suresh Seshadri, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
GEN-DRIFT: Generative AI-driven drift handling for beyond 5G networks
Venkateswarlu Gudepu, Bhargav Chirumamilla, Venkatarami Reddy Chintapalli, et al.
Computer Networks (2025), pp. 111237-111237
Closed Access
Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning
Kemal Davaslıoğlu, Serdar Boztaş, M. C. Ertem, et al.
IEEE Wireless Communications Letters (2022) Vol. 12, Iss. 1, pp. 65-69
Open Access | Times Cited: 11
BDDTPA: Blockchain-Driven Deep Traffic Pattern Analysis for Enhanced Security in Cognitive Radio Ad-Hoc Networks
Debabrata Dansana, Prafulla Kumar Behera, Abdulbasit A. Darem, et al.
IEEE Access (2023) Vol. 11, pp. 98202-98216
Open Access | Times Cited: 6
Discrimination of primary user emulation attack on cognitive radio networks using machine learning based spectrum sensing scheme
C. Ambhika
Wireless Networks (2024) Vol. 30, Iss. 5, pp. 3135-3147
Closed Access | Times Cited: 1
FHLight: A novel method of indoor scene illumination estimation using improved loss function
Yang Wang, Ao Wang, Shijia Song, et al.
Image and Vision Computing (2024), pp. 105299-105299
Closed Access | Times Cited: 1
Intelligent Identification of the Line-Transformer Relationship in Distribution Networks Based on GAN Processing Unbalanced Data
Yan Wang, Xinyu Zhang, Haofeng Liu, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8611-8611
Open Access | Times Cited: 5
Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services
Ahmed M. Omara, Burak Kantarcı
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2022), pp. 1844-1849
Open Access | Times Cited: 4
Spectrum Anomaly Detection Based on Spatio-Temporal Network Prediction
Chuang Peng, Weilin Hu, Lunwen Wang
Electronics (2022) Vol. 11, Iss. 11, pp. 1770-1770
Open Access | Times Cited: 3
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
Abdulkadir Çelik, Ahmed M. Eltawil
(2024)
Open Access
A Comprehensive Review of Artificial Intelligence Based Algorithm Towards Fetal Facial Anomalies Detection
N. Sriraam, Babu Chinta, Seshadri Suresh, et al.
(2024)
Closed Access
Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach
Nicola Di Cicco, Mëmëdhe Ibrahimi, Francesco Musumeci, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 5, pp. 5420-5431
Open Access
Visual style conversion strategy for visual media based on MGADNN algorithm
Qi Ma
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 3, pp. 1571-1584
Closed Access
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning
Marco Skocaj, Lorenzo Mario Amorosa, Michele Lombardi, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 13158-13171
Open Access
An AI-driven solution to prevent adversarial attacks on mobile vehicle-to-microgrid services
Ahmed M. Omara, Burak Kantarcı
Simulation Modelling Practice and Theory (2024) Vol. 137, pp. 103016-103016
Open Access
End‐to‐End Autoencoder Communications with Optimized Interference Suppression *
Kemal Davaslıoğlu, Tugba Erpek, Yalin E. Sagduyu
(2024), pp. 153-184
Closed Access
Deep learning frameworks for cognitive radio networks: Review and open research challenges
Senthil Kumar Jagatheesaperumal, Ijaz Ahmad, Marko Höyhtyä, et al.
Journal of Network and Computer Applications (2024) Vol. 233, pp. 104051-104051
Closed Access
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