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:

Explaining Recommendations in E-Learning: Effects on Adolescents' Trust
Jeroen Ooge, Shotallo Kato, Katrien Verbert
(2022)
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62

The Effects of Explanations in Automated Essay Scoring Systems on Student Trust and Motivation
Rianne Conijn, Patricia K. Kahr, Chris J. Snijders
Journal of Learning Analytics (2023) Vol. 10, Iss. 1, pp. 37-53
Open Access | Times Cited: 34

Using explainable AI to unravel classroom dialogue analysis: Effects of explanations on teachers' trust, technology acceptance and cognitive load
Deliang Wang, Cunling Bian, Gaowei Chen
British Journal of Educational Technology (2024) Vol. 55, Iss. 6, pp. 2530-2556
Open Access | Times Cited: 5

Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made
Oleksandra Vereschak, Fatemeh Alizadeh, Gilles Bailly, et al.
(2024), pp. 1-14
Open Access | Times Cited: 5

Cultural Bias in Explainable AI Research: A Systematic Analysis
Uwe Peters, Mary Carman
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 971-1000
Open Access | Times Cited: 4

User‐Centered Evaluation of Explainable Artificial Intelligence (XAI): A Systematic Literature Review
Noor Al-Ansari, Dena Al-Thani, Reem S. Al-Mansoori
Human Behavior and Emerging Technologies (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4

Algorithm Appreciation in Education: Educators Prefer Complex over Simple Algorithms
Kimberly Williamson, René F. Kizilcec, Sean Fath, et al.
(2025), pp. 527-536
Closed Access

Assessing Perceived Trust and Satisfaction with Multiple Explanation Techniques in XAI-Enhanced Learning Analytics
Saša Brdnik, Vili Podgorelec, Boštjan Šumak
Electronics (2023) Vol. 12, Iss. 12, pp. 2594-2594
Open Access | Times Cited: 9

Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
2022 IEEE Global Engineering Education Conference (EDUCON) (2024), pp. 1-5
Open Access | Times Cited: 3

Assessing the Utility of an Interaction Qualities Framework in Systematizing the Evaluation of User Control
Aletta Smits, Chris Detweiler, Ester Bartels, et al.
Lecture notes in computer science (2024), pp. 185-195
Closed Access | Times Cited: 3

Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
(2024)
Open Access | Times Cited: 2

Human-centered evaluation of explainable AI applications: a systematic review
Jenia Kim, Henry Maathuis, Danielle Sent
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2

Identification of Critical Parameters Affecting an E-Learning Recommendation Model Using Delphi Method Based on Expert Validation
Abubaker salem mohamed salem shibani, Masnizah Mohd, Ahmad Tarmizi Abdul Ghani, et al.
Information (2023) Vol. 14, Iss. 4, pp. 207-207
Open Access | Times Cited: 4

Adaptive Lifelong Learning (ALL)
Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, et al.
Communications in computer and information science (2024), pp. 452-459
Closed Access | Times Cited: 1

On the Negative Perception of Cross-domain Recommendations and Explanations
Denis Kotkov, Alan Medlar, Yang Liu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 2102-2113
Closed Access | Times Cited: 1

Investigating the Use of Deep Learning and Implicit Feedback in K12 Educational Recommender Systems
Sohum Bhatt, Wim Van Den Noortgate, Katrien Verbert
IEEE Transactions on Learning Technologies (2023) Vol. 17, pp. 112-123
Closed Access | Times Cited: 3

My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
Aimen Gaba, Zhanna Kaufman, Jason Pui Yin Cheung, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 1, pp. 327-337
Open Access | Times Cited: 3

Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3

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