Open Access Helper

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 AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-59
Open Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu, Zoran Salčić, Lichao Sun, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 11s, pp. 1-37
Open Access | Times Cited: 212
Fairness in Machine Learning: A Survey
Simon Caton, Christian Haas
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-38
Open Access | Times Cited: 178
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao, Wenqi Fan, Jiatong Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6889-6907
Open Access | Times Cited: 50
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 2, pp. 97-139
Open Access | Times Cited: 25
Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry
Ci-Jyun Liang, Thai-Hoa Le, Youngjib Ham, et al.
Automation in Construction (2024) Vol. 162, pp. 105369-105369
Open Access | Times Cited: 20
Machine learning robustness: a primer
Houssem Ben Braiek, Foutse Khomh
Elsevier eBooks (2025), pp. 37-71
Open Access | Times Cited: 2
Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges
Shaker El–Sappagh, Waleed Nazih, Meshal Alharbi, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Closed Access | Times Cited: 1
Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring
Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5872-5872
Open Access | Times Cited: 58
Trustworthy Federated Learning via Blockchain
Zhanpeng Yang, Yuanming Shi, Yong Zhou, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 92-109
Open Access | Times Cited: 56
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 35
Designing AI Using a Human-Centered Approach: Explainability and Accuracy Toward Trustworthiness
Jordan Richard Schoenherr, Roba Abbas, Katina Michael, et al.
IEEE Transactions on Technology and Society (2023) Vol. 4, Iss. 1, pp. 9-23
Open Access | Times Cited: 28
A survey on fairness-aware recommender systems
Di Jin, Luzhi Wang, He Zhang, et al.
Information Fusion (2023) Vol. 100, pp. 101906-101906
Open Access | Times Cited: 25
Combining physical approaches with deep learning techniques for urban building energy modeling: A comprehensive review and future research prospects
Zheng Li, Jun Ma, Yi Tan, et al.
Building and Environment (2023) Vol. 246, pp. 110960-110960
Closed Access | Times Cited: 21
Trustworthy machine learning in the context of security and privacy
Ramesh Upreti, Pedro G. Lind, Ahmed Elmokashfi, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 2287-2314
Open Access | Times Cited: 6
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges
Yifei Zhang, Dun Zeng, Jinglong Luo, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 6, pp. 1-47
Closed Access | Times Cited: 6
Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review
Ruyue Xin, Jingye Wang, Peng Chen, et al.
ACM Computing Surveys (2025) Vol. 57, Iss. 5, pp. 1-37
Open Access
Decoding Pollution: A Federated Learning-Based Pollution Prediction Study with Health Ramifications Using Causal Inferences
Snehlata Beriwal, A John
Electronics (2025) Vol. 14, Iss. 2, pp. 350-350
Open Access
Introduction to trustworthy AI for medical imaging
Marco Lorenzi, María A. Zuluaga
Elsevier eBooks (2025), pp. 3-5
Closed Access
Artificial intelligence auditability and auditor readiness for auditing artificial intelligence systems
Yueqi Li, Sanjay Goel
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100739-100739
Closed Access
When LLMs meet cybersecurity: a systematic literature review
Jie Zhang, H. Bu, Hui Wen, et al.
Cybersecurity (2025) Vol. 8, Iss. 1
Open Access
Generative Diffusion Models on Graphs: Methods and Applications
Cheng-Yi Liu, Wenqi Fan, Yunqing Liu, et al.
(2023), pp. 6702-6711
Open Access | Times Cited: 18
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan, Han Xu, Wei Jin, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 654-667
Open Access | Times Cited: 14
FederatedTrust: A solution for trustworthy federated learning
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Ning Xie, et al.
Future Generation Computer Systems (2023) Vol. 152, pp. 83-98
Open Access | Times Cited: 14
An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning
Muhammad Muzammil Azad, Heung Soo Kim
Polymer Composites (2024)
Open Access | Times Cited: 5
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top