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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:

Toward Robust Networks against Adversarial Attacks for Radio Signal Modulation Classification
B. R. Manoj, Pablo Millán Santos, Meysam Sadeghi, et al.
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) (2022), pp. 1-5
Closed Access | Times Cited: 8

Showing 8 citing articles:

Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey
Yulong Wang, Tong Sun, Shenghong Li, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2245-2298
Closed Access | Times Cited: 38
Maximum Likelihood Distillation for Robust Modulation Classification
Javier Maroto, Gérôme Bovet, Pascal Frossard
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 4
Defending Wireless Receivers Against Adversarial Attacks on Modulation Classifiers
Paulo Freitas de Araujo-Filho, Georges Kaddoum, Mohamed Chiheb Ben Nasr, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 21, pp. 19153-19162
Closed Access | Times Cited: 3
Wireless Universal Adversarial Attack and Defense for Deep Learning-Based Modulation Classification
Zhaowei Wang, Weicheng Liu, Hui‐Ming Wang
IEEE Communications Letters (2024) Vol. 28, Iss. 3, pp. 582-586
Closed Access
Input Agnostic Trojan Attack for Deep Learning-Based Wireless Signal Classification
Swetha Vavilapalli, Nayan Moni Baishya, B. R. Manoj, et al.
(2024) Vol. 2301, pp. 1-6
Closed Access
Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers
Nayan Moni Baishya, B. R. Manoj
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2024), pp. 01-06
Open Access
BitFool: An Optimization-Based Adversarial Attack for End-to-End Communication Systems
Runzhuo Yang, Jiaying Cheng, Donghang Liu, et al.
2022 7th International Conference on Computer and Communication Systems (ICCCS) (2024), pp. 1014-1020
Closed Access
Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks
Xiaohu Li, Yajian Zhou, Hui Yan
Lecture notes in computer science (2024), pp. 387-401
Closed Access
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