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:

Levels of explainable artificial intelligence for human-aligned conversational explanations
Richard Dazeley, Peter Vamplew, Cameron Foale, et al.
Artificial Intelligence (2021) Vol. 299, pp. 103525-103525
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

A practical guide to multi-objective reinforcement learning and planning
Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi, et al.
Autonomous Agents and Multi-Agent Systems (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 161

XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 78-108
Open Access | Times Cited: 60

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong Lu, Jiali Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 4, pp. 859-876
Open Access | Times Cited: 43

Policy advice and best practices on bias and fairness in AI
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 17

Measuring the Interpretability and Explainability of Model Decisions of Five Large Language Models
Kaito Fujiwara, Miyu Sasaki, Akira Nakamura, et al.
(2024)
Open Access | Times Cited: 14

How Cognitive Biases Affect XAI-assisted Decision-making
Astrid Bertrand, Rafik Belloum, James Eagan, et al.
(2022), pp. 78-91
Open Access | Times Cited: 63

How the different explanation classes impact trust calibration: The case of clinical decision support systems
Mohammad Naiseh, Dena Al-Thani, Nan Jiang, et al.
International Journal of Human-Computer Studies (2022) Vol. 169, pp. 102941-102941
Open Access | Times Cited: 62

Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty
Jinglu Jiang, Surinder Kahai, Ming Yang
International Journal of Human-Computer Studies (2022) Vol. 165, pp. 102839-102839
Closed Access | Times Cited: 41

Explainable reinforcement learning for broad-XAI: a conceptual framework and survey
Richard Dazeley, Peter Vamplew, Francisco Cruz
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 16893-16916
Open Access | Times Cited: 21

Modeling of particle sizes for industrial HPGR products by a unique explainable AI tool- A “Conscious Lab” development
Saeed Chehreh Chelgani, Hamid Nasiri, A. Tohry
Advanced Powder Technology (2021) Vol. 32, Iss. 11, pp. 4141-4148
Open Access | Times Cited: 43

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

Trust in artificial intelligence: Literature review and main path analysis
Bruno Miranda Henrique, Eugene Santos
Computers in Human Behavior Artificial Humans (2024) Vol. 2, Iss. 1, pp. 100043-100043
Open Access | Times Cited: 6

Beyond one-shot explanations: a systematic literature review of dialogue-based xAI approaches
Dimitry Mindlin, Fabian Beer, Leonie Nora Sieger, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access

Artificial intelligence governance: Understanding how public organizations implement it
Patricia Gomes Rêgo de Almeida, Carlos Denner dos Santos
Government Information Quarterly (2025) Vol. 42, Iss. 1, pp. 102003-102003
Closed Access

Trustworthiness analysis of heuristic routing algorithm with special constraints for autonomous vehicles in surveillance and coverage operations
Deniz Kenan Kılıç, Peter Nielsen, Fabian Miehe, et al.
International Journal of Systems Science (2025), pp. 1-18
Open Access

Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human
Daniel J. Mathew, Deborah Ebem, Anayo Chukwu Ikegwu, et al.
Neural Processing Letters (2025) Vol. 57, Iss. 1
Open Access

Explainable Optimal Random Forest model with conversational interface
Caroline Mary M., H. S. Jennath, S. Asharaf
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110134-110134
Closed Access

Towards a cognitive assistant supporting human operators in the Artificial Intelligence of Things
Cecilio Ángulo, Alejandro Chacón, Pere Ponsa
Internet of Things (2022) Vol. 21, pp. 100673-100673
Open Access | Times Cited: 25

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
Peter Vamplew, Benjamin J. Smith, Johan Källström, et al.
Autonomous Agents and Multi-Agent Systems (2022) Vol. 36, Iss. 2
Open Access | Times Cited: 22

Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
Jasmina Gajcin, Ivana Dusparić
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-33
Open Access | Times Cited: 4

The coach bots are coming: exploring global coaches’ attitudes and responses to the threat of AI coaching
Sandra J. Diller, Loana-Corine Stenzel, Jonathan Passmore
Human Resource Development International (2024) Vol. 27, Iss. 4, pp. 597-621
Open Access | Times Cited: 4

The Past, Present, and Prospective Future of XAI: A Comprehensive Review
Muhammad Usama Islam, Md Mozaharul Mottalib, Mehedi Hassan, et al.
Studies in computational intelligence (2022), pp. 1-29
Closed Access | Times Cited: 19

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

ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
Cognitive Computation (2022) Vol. 15, Iss. 2, pp. 613-644
Closed Access | Times Cited: 18

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