Open Access Helper

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:

Adversarial Machine Learning on Social Network: A Survey
Sensen Guo, Xiaoyu Li, Zhiying Mu
Frontiers in Physics (2021) Vol. 9
Open Access | Times Cited: 11

Showing 11 citing articles:

Design, Modeling and Implementation of Digital Twins
Mariana Segovia, Joaquín García-Alfaro
Sensors (2022) Vol. 22, Iss. 14, pp. 5396-5396
Open Access | Times Cited: 193
The impact of dietary fiber on colorectal cancer patients based on machine learning
Xinwei Ji, Lixin Wang, Pengbo Luan, et al.
Frontiers in Nutrition (2025) Vol. 12
Open Access
Sentiment Analysis of Financial Textual data Using Machine Learning and Deep Learning Models
Hero O. Ahmad, Shahla U. Umar
Informatica (2023) Vol. 47, Iss. 5
Open Access | Times Cited: 9
Unleashing the Full Potential of Artificial Intelligence and Machine Learning in Cybersecurity Vulnerability Management
Mohammed Elbes, Samar Hendawi, Shadi AlZu’bi, et al.
(2023), pp. 276-283
Closed Access | Times Cited: 7
One-pixel and X-pixel adversarial attacks based on smell bees optimization algorithm
Yamina Mohamed Ben Ali
Future Generation Computer Systems (2023) Vol. 149, pp. 562-576
Closed Access | Times Cited: 2
Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans
Jon Vadillo, Roberto Santana, José A. Lozano
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024)
Open Access
Recent Machine Learning and Deep Learning Theories and Methods for COVID-19 Diagnosis
Wenhao Tang
(2023)
Open Access | Times Cited: 1
Recent Machine Learning and Deep Learning Theories and Methods for COVID-19 Diagnosis
Wenhao Tang
(2023)
Open Access | Times Cited: 1
Unveiling the Threat: Investigating Distributed and Centralized Backdoor Attacks in Federated Graph Neural Networks
Jing Xu, Stefanos Koffas, Stjepan Picek
Digital Threats Research and Practice (2023) Vol. 5, Iss. 2, pp. 1-29
Open Access | Times Cited: 1
An Introduction to Audio Manipulation and Generation of a Unified High Performance Recommendation Framework for Netflix
R. Angeline, Harish Babu M., B. Rehith, et al.
Advances in multimedia and interactive technologies book series (2023), pp. 319-332
Closed Access
Enhancement of Robustness for Graph Neural Networks in AI Systems
Dongyuan Zhang, Chuanjiang Yu, Shijun Xu, et al.
(2023), pp. 622-625
Closed Access
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