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:
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu, Zichong Wang, Wenbin Zhang
ACM SIGKDD Explorations Newsletter (2024) Vol. 26, Iss. 1, pp. 34-48
Open Access | Times Cited: 9
Zhibo Chu, Zichong Wang, Wenbin Zhang
ACM SIGKDD Explorations Newsletter (2024) Vol. 26, Iss. 1, pp. 34-48
Open Access | Times Cited: 9
Showing 9 citing articles:
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network
Zichong Wang, Zhipeng Yin, Yuying Zhang, et al.
ACM SIGKDD Explorations Newsletter (2025) Vol. 26, Iss. 2, pp. 99-108
Closed Access | Times Cited: 1
Zichong Wang, Zhipeng Yin, Yuying Zhang, et al.
ACM SIGKDD Explorations Newsletter (2025) Vol. 26, Iss. 2, pp. 99-108
Closed Access | Times Cited: 1
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges
Zichong Wang, Zhipeng Yin, Yuying Zhang, et al.
ACM SIGKDD Explorations Newsletter (2025) Vol. 26, Iss. 2, pp. 89-98
Closed Access | Times Cited: 1
Zichong Wang, Zhipeng Yin, Yuying Zhang, et al.
ACM SIGKDD Explorations Newsletter (2025) Vol. 26, Iss. 2, pp. 89-98
Closed Access | Times Cited: 1
History, development, and principles of large language models: an introductory survey
Zichong Wang, Zhibo Chu, Thang Viet Doan, et al.
AI and Ethics (2024)
Closed Access | Times Cited: 7
Zichong Wang, Zhibo Chu, Thang Viet Doan, et al.
AI and Ethics (2024)
Closed Access | Times Cited: 7
Automated Methodologies for Evaluating Lying, Hallucinations, and Bias in Large Language Models
George Ecurali, Zelie Thackeray
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
George Ecurali, Zelie Thackeray
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
Fairness amidst non‐IID graph data: A literature review
Wenbin Zhang, Shuigeng Zhou, Toby Walsh, et al.
AI Magazine (2025) Vol. 46, Iss. 1
Open Access
Wenbin Zhang, Shuigeng Zhou, Toby Walsh, et al.
AI Magazine (2025) Vol. 46, Iss. 1
Open Access
Advancing Graph Counterfactual Fairness Through Fair Representation Learning
Zichong Wang, Zhibo Chu, Ronald Blanco, et al.
Lecture notes in computer science (2024), pp. 40-58
Closed Access | Times Cited: 4
Zichong Wang, Zhibo Chu, Ronald Blanco, et al.
Lecture notes in computer science (2024), pp. 40-58
Closed Access | Times Cited: 4
Individual Fairness with Group Awareness Under Uncertainty
Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, et al.
Lecture notes in computer science (2024), pp. 89-106
Closed Access | Times Cited: 3
Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, et al.
Lecture notes in computer science (2024), pp. 89-106
Closed Access | Times Cited: 3
AI fairness in practice: Paradigm, challenges, and prospects
Wenbin Zhang
AI Magazine (2024)
Open Access | Times Cited: 2
Wenbin Zhang
AI Magazine (2024)
Open Access | Times Cited: 2
Fairness in Large Language Models in Three Hours
Viet-Thang Doan, Zichong Wang, Nhat Nguyen Minh Hoang, et al.
(2024), pp. 5514-5517
Closed Access
Viet-Thang Doan, Zichong Wang, Nhat Nguyen Minh Hoang, et al.
(2024), pp. 5514-5517
Closed Access
