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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:

Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
Francesco Sovrano, Fabio Vitali
Data Mining and Knowledge Discovery (2022) Vol. 38, Iss. 5, pp. 3141-3168
Open Access | Times Cited: 19

Showing 19 citing articles:

An objective metric for Explainable AI: How and why to estimate the degree of explainability
Francesco Sovrano, Fabio Vitali
Knowledge-Based Systems (2023) Vol. 278, pp. 110866-110866
Open Access | Times Cited: 19
An Explainable Machine Learning (XAI) Framework for Classification of Intricate Dancing Posture among Indian Bharatanatyam Dancers
K. Adalarasu, RM. Kuppan Chetty, K. Ghousiya Begum, et al.
Applied Soft Computing (2025), pp. 112817-112817
Open Access
Beyond the lab: An in-depth analysis of real-world practices in government-to-citizen software user documentation
Francesco Sovrano, Sandro Vonlanthen, Alberto Bacchelli
Information and Software Technology (2025) Vol. 181, pp. 107676-107676
Open Access
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society

(2024)
Open Access | Times Cited: 4
Explainable and interpretable machine learning and data mining
Martin Atzmueller, Johannes Fürnkranz, Tomáš Kliegr, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 5, pp. 2571-2595
Open Access | Times Cited: 4
Crossing the Trust Gap in Medical AI: Building an Abductive Bridge for xAI
Steven S. Gouveia, Jaroslav Malík
Philosophy & Technology (2024) Vol. 37, Iss. 3
Open Access | Times Cited: 2
How to Improve the Explanatory Power of an Intelligent Textbook: a Case Study in Legal Writing
Francesco Sovrano, Kevin D. Ashley, Peter Leonid Brusilovsky, et al.
International Journal of Artificial Intelligence in Education (2024)
Open Access | Times Cited: 2
A Data-Centric AI Paradigm for Socio-Industrial and Global Challenges
Abdul Majeed, Seong Oun Hwang
Electronics (2024) Vol. 13, Iss. 11, pp. 2156-2156
Open Access | Times Cited: 2
Conversational User Interfaces: Explanations and Interactivity Positively Influence Advice Taking from Generative Artificial Intelligence
Tobias R. Rebholz, Alena Koop, Mandy Hütter
(2024)
Open Access | Times Cited: 1
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
Francesco Sovrano, Michaël Lognoul, Alberto Bacchelli
(2024), pp. 46-56
Open Access | Times Cited: 1
Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper
Michael Ridley
Journal of the Association for Information Science and Technology (2024)
Open Access
On the Explainability of Financial Robo-Advice Systems
Giulia Vilone, Francesco Sovrano, Michaël Lognoul
Communications in computer and information science (2024), pp. 219-242
Closed Access
Empowering Faculty Vitality and Mitigating Burnout Through Generative AI in Higher Education
Stacy Ybarra
Advances in educational technologies and instructional design book series (2024), pp. 281-308
Closed Access
Theory of Machine 2.0: Artificial Versus Artificial Intelligence
Tobias R. Rebholz
(2024)
Open Access
Learning lessons from the COVID-19 pandemic for real-world evidence research in oncology—shared perspectives from international consortia
Luís Castelo-Branco, Rebecca Lee, Marcelo Luiz Brandão, et al.
ESMO Open (2023) Vol. 8, Iss. 4, pp. 101596-101596
Open Access | Times Cited: 1
Identifying Explanation Needs of End-users: Applying and Extending the XAI Question Bank
Lars Sipos, Ulrike Schäfer, Katrin Glinka, et al.
(2023) Vol. 11, pp. 492-497
Open Access | Times Cited: 1
Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI
Francesco Sovrano, Fabio Vitali
Communications in computer and information science (2023), pp. 25-47
Closed Access | Times Cited: 1
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
Francesco Sovrano, Fabio Vitali
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Multi-granularity Hierarchical Feature Extraction for Question-Answering Understanding
Xingguo Qin, Ya Zhou, Guimin Huang, et al.
Cognitive Computation (2022) Vol. 15, Iss. 1, pp. 121-131
Closed Access
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