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:
To explain or not to explain
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, et al.
(2019), pp. 397-407
Open Access | Times Cited: 116
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, et al.
(2019), pp. 397-407
Open Access | Times Cited: 116
Showing 1-25 of 116 citing articles:
To Trust or to Think
Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-21
Open Access | Times Cited: 294
Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-21
Open Access | Times Cited: 294
Toward personalized XAI: A case study in intelligent tutoring systems
Cristina Conati, Oswald Barral, Vanessa Putnam, et al.
Artificial Intelligence (2021) Vol. 298, pp. 103503-103503
Open Access | Times Cited: 103
Cristina Conati, Oswald Barral, Vanessa Putnam, et al.
Artificial Intelligence (2021) Vol. 298, pp. 103503-103503
Open Access | Times Cited: 103
Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency
Ariful Islam Anik, Andrea Bunt
(2021), pp. 1-13
Open Access | Times Cited: 72
Ariful Islam Anik, Andrea Bunt
(2021), pp. 1-13
Open Access | Times Cited: 72
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos
(2021)
Open Access | Times Cited: 64
Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos
(2021)
Open Access | Times Cited: 64
Human-XAI Interaction: A Review and Design Principles for Explanation User Interfaces
Michael Chromik, Andreas Butz
Lecture notes in computer science (2021), pp. 619-640
Closed Access | Times Cited: 61
Michael Chromik, Andreas Butz
Lecture notes in computer science (2021), pp. 619-640
Closed Access | Times Cited: 61
Explainability in music recommender systems
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, et al.
AI Magazine (2022) Vol. 43, Iss. 2, pp. 190-208
Open Access | Times Cited: 44
Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, et al.
AI Magazine (2022) Vol. 43, Iss. 2, pp. 190-208
Open Access | Times Cited: 44
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation
Sung-Jun Park, Dong‐Kyu Chae, Hong-Kyun Bae, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 784-793
Closed Access | Times Cited: 42
Sung-Jun Park, Dong‐Kyu Chae, Hong-Kyun Bae, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 784-793
Closed Access | Times Cited: 42
“Knowing me, knowing you”: personalized explanations for a music recommender system
Martijn Millecamp, Cristina Conati, Katrien Verbert
User Modeling and User-Adapted Interaction (2022) Vol. 32, Iss. 1-2, pp. 215-252
Closed Access | Times Cited: 41
Martijn Millecamp, Cristina Conati, Katrien Verbert
User Modeling and User-Adapted Interaction (2022) Vol. 32, Iss. 1-2, pp. 215-252
Closed Access | Times Cited: 41
Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond
Yue You, Chun-Hua Tsai, Yao Li, et al.
ACM Transactions on Computer-Human Interaction (2023) Vol. 30, Iss. 4, pp. 1-44
Open Access | Times Cited: 24
Yue You, Chun-Hua Tsai, Yao Li, et al.
ACM Transactions on Computer-Human Interaction (2023) Vol. 30, Iss. 4, pp. 1-44
Open Access | Times Cited: 24
Visualization for Recommendation Explainability: A Survey and New Perspectives
Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim
ACM Transactions on Interactive Intelligent Systems (2024) Vol. 14, Iss. 3, pp. 1-40
Open Access | Times Cited: 9
Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim
ACM Transactions on Interactive Intelligent Systems (2024) Vol. 14, Iss. 3, pp. 1-40
Open Access | Times Cited: 9
What Are People Doing About XAI User Experience? A Survey on AI Explainability Research and Practice
Juliana Jansen Ferreira, Mateus de Souza Monteiro
Lecture notes in computer science (2020), pp. 56-73
Closed Access | Times Cited: 57
Juliana Jansen Ferreira, Mateus de Souza Monteiro
Lecture notes in computer science (2020), pp. 56-73
Closed Access | Times Cited: 57
Exploring and Promoting Diagnostic Transparency and Explainability in Online Symptom Checkers
Chun-Hua Tsai, Yue You, Xinning Gui, et al.
(2021)
Closed Access | Times Cited: 53
Chun-Hua Tsai, Yue You, Xinning Gui, et al.
(2021)
Closed Access | Times Cited: 53
Explaining Recommendations in E-Learning: Effects on Adolescents' Trust
Jeroen Ooge, Shotallo Kato, Katrien Verbert
(2022)
Open Access | Times Cited: 31
Jeroen Ooge, Shotallo Kato, Katrien Verbert
(2022)
Open Access | Times Cited: 31
The Use of Responsible Artificial Intelligence Techniques in the Context of Loan Approval Processes
Erasmo Purificato, Flavio Lorenzo, Francesca Fallucchi, et al.
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 7, pp. 1543-1562
Closed Access | Times Cited: 31
Erasmo Purificato, Flavio Lorenzo, Francesca Fallucchi, et al.
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 7, pp. 1543-1562
Closed Access | Times Cited: 31
On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations
Astrid Bertrand, Tiphaine Viard, Rafik Belloum, et al.
(2023), pp. 1-21
Closed Access | Times Cited: 18
Astrid Bertrand, Tiphaine Viard, Rafik Belloum, et al.
(2023), pp. 1-21
Closed Access | Times Cited: 18
Effects of personal characteristics in control-oriented user interfaces for music recommender systems
Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, et al.
User Modeling and User-Adapted Interaction (2019) Vol. 30, Iss. 2, pp. 199-249
Open Access | Times Cited: 43
Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, et al.
User Modeling and User-Adapted Interaction (2019) Vol. 30, Iss. 2, pp. 199-249
Open Access | Times Cited: 43
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, et al.
(2020)
Closed Access | Times Cited: 41
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, et al.
(2020)
Closed Access | Times Cited: 41
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations
Daricia Wilkinson, Öznur Alkan, Q. Vera Liao, et al.
ACM transactions on office information systems (2021) Vol. 39, Iss. 4, pp. 1-21
Closed Access | Times Cited: 33
Daricia Wilkinson, Öznur Alkan, Q. Vera Liao, et al.
ACM transactions on office information systems (2021) Vol. 39, Iss. 4, pp. 1-21
Closed Access | Times Cited: 33
Enhancing Fairness Perception – Towards Human-Centred AI and Personalized Explanations Understanding the Factors Influencing Laypeople’s Fairness Perceptions of Algorithmic Decisions
Avital Shulner Tal, Tsvi Kuflik, Doron Kliger
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 7, pp. 1455-1482
Closed Access | Times Cited: 25
Avital Shulner Tal, Tsvi Kuflik, Doron Kliger
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 7, pp. 1455-1482
Closed Access | Times Cited: 25
We Need to Understand Where the Data Comes From: Co-Designing Transparent AI Systems for Caregiving
Julia Hermann, Nadine Jansen, Ayşegül Doğangün
(2025), pp. 105-109
Closed Access
Julia Hermann, Nadine Jansen, Ayşegül Doğangün
(2025), pp. 105-109
Closed Access
The Influence of Curiosity Traits and On-Demand Explanations in AI-Assisted Decision-Making
Federico Maria Cau, Lucio Davide Spano
(2025), pp. 1440-1457
Closed Access
Federico Maria Cau, Lucio Davide Spano
(2025), pp. 1440-1457
Closed Access
Design of explanation user interfaces for interactive machine learning using the example of a knowledge graph-based approach to explainable process analysis
Anne Füßl, Volker Nissen
Requirements Engineering (2025)
Open Access
Anne Füßl, Volker Nissen
Requirements Engineering (2025)
Open Access
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction
Yucheng Jin, Wanling Cai, Li Chen, et al.
(2019), pp. 951-960
Closed Access | Times Cited: 39
Yucheng Jin, Wanling Cai, Li Chen, et al.
(2019), pp. 951-960
Closed Access | Times Cited: 39
Personalising Explainable Recommendations: Literature and Conceptualisation
Mohammad Naiseh, Nan Jiang, Jianbing Ma, et al.
Advances in intelligent systems and computing (2020), pp. 518-533
Closed Access | Times Cited: 34
Mohammad Naiseh, Nan Jiang, Jianbing Ma, et al.
Advances in intelligent systems and computing (2020), pp. 518-533
Closed Access | Times Cited: 34
Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable
Auste Simkute, Ewa Luger, Bronwyn Jones, et al.
Journal of Responsible Technology (2021) Vol. 7-8, pp. 100017-100017
Open Access | Times Cited: 29
Auste Simkute, Ewa Luger, Bronwyn Jones, et al.
Journal of Responsible Technology (2021) Vol. 7-8, pp. 100017-100017
Open Access | Times Cited: 29
