OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei, Ling Liu
ACM Computing Surveys (2024)
Open Access | Times Cited: 14

Showing 14 citing articles:

Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis
Mohammed A. Fadhel, Ali M. Duhaim, A. S. Albahri, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 26

AI-Driven Personalized Nutrition Apps and Platforms for Enhanced Diet and Wellness
G. Krishna Prasad, Mrutyunjay Padhiary, Azmirul Hoque, et al.
IGI Global eBooks (2025), pp. 125-158
Closed Access | Times Cited: 2

A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Habib Ullah Manzoor, Attia Shabbir, Ao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 10, pp. 374-374
Open Access | Times Cited: 11

Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions
Krishnashree Achuthan, Sasangan Ramanathan, Sethuraman Srinivas, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 5

Analysis of Federated Learning Paradigm in Medical Domain: Taking COVID-19 as an Application Use Case
Seong Oun Hwang, Abdul Majeed
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4100-4100
Open Access | Times Cited: 4

Exploring the Impact of AI-Driven Personalization on Consumer Engagement in Digital Marketing.
Odai Falah Mohammad AL-Ghaswyneh
Management (2025), Iss. 1, pp. 117-144
Open Access

Ethics and Transparency in Secure Web Model Generation
Siva Raja Sindiramutty, Krishna Raj V. Prabagaran, N. Z. Jhanjhi, et al.
Advances in information security, privacy, and ethics book series (2024), pp. 411-464
Closed Access | Times Cited: 3

Why should I trust you? Influence of explanation design on consumer behavior in AI-based services
Florence Nizette, Wafa Hammedi, Allard C.R. van Riel, et al.
Journal of service management (2024) Vol. 36, Iss. 1, pp. 50-74
Closed Access | Times Cited: 2

Ethics in AI for energy systems safety
Rajeevan Arunthavanathan, Zaman Sajid, Md. Tanjin Amin
Methods in chemical process safety (2024)
Closed Access | Times Cited: 1

Integrating Explainable AI with Federated Learning for Next-Generation IoT: A comprehensive review and prospective insights
Praveer Dubey, Mohit Kumar
Computer Science Review (2024) Vol. 56, pp. 100697-100697
Closed Access | Times Cited: 1

Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning
Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, et al.
(2024), pp. 1431-1434
Closed Access

Risk Assessment and Mitigation With Generative AI Models
Siva Raja Sindiramutty, N. Z. Jhanjhi, Rehan Akbar, et al.
Advances in digital crime, forensics, and cyber terrorism book series (2024), pp. 29-82
Closed Access

Page 1

Scroll to top