
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:
Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education
Gianni Fenu, Roberta Galici, Mirko Marras
Lecture notes in computer science (2022), pp. 243-255
Open Access | Times Cited: 13
Gianni Fenu, Roberta Galici, Mirko Marras
Lecture notes in computer science (2022), pp. 243-255
Open Access | Times Cited: 13
Showing 13 citing articles:
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 28
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 28
Integrating Artificial Intelligence in Human Resource Management: A SmartPLS Approach for Entrepreneurial Success
Dewi Sri Surya Wuisan, Richard Andre Sunardjo, Qurotul Aini, et al.
Aptisi Transactions On Technopreneurship (ATT) (2023) Vol. 5, Iss. 3, pp. 334-345
Open Access | Times Cited: 23
Dewi Sri Surya Wuisan, Richard Andre Sunardjo, Qurotul Aini, et al.
Aptisi Transactions On Technopreneurship (ATT) (2023) Vol. 5, Iss. 3, pp. 334-345
Open Access | Times Cited: 23
Navigating fairness: practitioners’ understanding, challenges, and strategies in AI/ML development
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, et al.
Empirical Software Engineering (2025) Vol. 30, Iss. 3
Open Access
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, et al.
Empirical Software Engineering (2025) Vol. 30, Iss. 3
Open Access
A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Big data management (2023), pp. 43-94
Open Access | Times Cited: 9
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Big data management (2023), pp. 43-94
Open Access | Times Cited: 9
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning
Roberta Galici, Tanja Käser, Gianni Fenu, et al.
(2023), pp. 441-452
Open Access | Times Cited: 5
Roberta Galici, Tanja Käser, Gianni Fenu, et al.
(2023), pp. 441-452
Open Access | Times Cited: 5
Explainable Recommender Systems with Knowledge Graphs and Language Models
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, et al.
Lecture notes in computer science (2024), pp. 352-357
Closed Access | Times Cited: 1
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, et al.
Lecture notes in computer science (2024), pp. 352-357
Closed Access | Times Cited: 1
University Fairness Questionnaire (UFair): Development and Validation of a German Questionnaire to Assess University Justice—A Study Protocol of a Mixed Methods Study
Raphael M. Herr, Veronika M. Deyerl, Jennifer Hilger-Kolb, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 23, pp. 16340-16340
Open Access | Times Cited: 4
Raphael M. Herr, Veronika M. Deyerl, Jennifer Hilger-Kolb, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 23, pp. 16340-16340
Open Access | Times Cited: 4
Fairness in Predictive Learning Analytics: A Case Study in Online STEM Education
Ali Al-Zawqari, Gerd Vandersteen
2021 IEEE Frontiers in Education Conference (FIE) (2023), pp. 1-5
Closed Access | Times Cited: 1
Ali Al-Zawqari, Gerd Vandersteen
2021 IEEE Frontiers in Education Conference (FIE) (2023), pp. 1-5
Closed Access | Times Cited: 1
From Biased Towards Affirmative Artificial Intelligence Tools in Education
Milena Parland, Andrey Shcherbakov
Lecture notes in networks and systems (2024), pp. 352-362
Closed Access
Milena Parland, Andrey Shcherbakov
Lecture notes in networks and systems (2024), pp. 352-362
Closed Access
Quantifying the Cross-Sectoral Intersecting Discrepancies Within Multiple Groups Using Latent Class Analysis Towards Fairness
Yingfang Yuan, Wei Pang
(2024)
Open Access
Yingfang Yuan, Wei Pang
(2024)
Open Access
Quantifying the Cross-Sectoral Intersecting Discrepancies Within Multiple Groups Using Latent Class Analysis Towards Fairness
Yingfang Yuan, Kefan Chen, Mehdi Rizvi, et al.
(2024)
Open Access
Yingfang Yuan, Kefan Chen, Mehdi Rizvi, et al.
(2024)
Open Access
Latent Space Bias Mitigation for Predicting At-Risk Students
Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen
Computers and Education Artificial Intelligence (2024), pp. 100300-100300
Open Access
Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen
Computers and Education Artificial Intelligence (2024), pp. 100300-100300
Open Access
(Un)fair Exposure in Deep Face Rankings at a Distance
Andrea Atzori, Gianni Fenu, Mirko Marras
(2023), pp. 1-9
Open Access
Andrea Atzori, Gianni Fenu, Mirko Marras
(2023), pp. 1-9
Open Access