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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:

Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning
Anna Saranti, Miroslav Hudec, Erika Mináriková, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 4, pp. 924-953
Open Access | Times Cited: 21

Showing 21 citing articles:

On generating trustworthy counterfactual explanations
Javier Del Ser, Alejandro Barredo-Arrieta, Natalia Díaz-Rodríguez, et al.
Information Sciences (2023) Vol. 655, pp. 119898-119898
Open Access | Times Cited: 70
Exploring artificial intelligence for applications of drones in forest ecology and management
Alexander Buchelt, Alexander Adrowitzer, Peter Kieseberg, et al.
Forest Ecology and Management (2023) Vol. 551, pp. 121530-121530
Open Access | Times Cited: 53
Ironies of artificial intelligence
Mica R. Endsley
Ergonomics (2023) Vol. 66, Iss. 11, pp. 1656-1668
Closed Access | Times Cited: 42
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, et al.
Cognitive Systems Research (2024) Vol. 86, pp. 101243-101243
Open Access | Times Cited: 38
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: 24
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning
Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, et al.
Lecture notes in computer science (2023), pp. 45-64
Open Access | Times Cited: 17
Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding
Ignacio Chang-Brahim, Lukas J. Koppensteiner, Lorenzo Beltrame, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
A Practical tutorial on Explainable AI Techniques
Adrien Bennetot, Ivan Donadello, A. Haouari, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 2, pp. 1-44
Open Access | Times Cited: 5
Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels
Francisco Maria Calisto, João Abrantes, Carlos Santiago, et al.
International Journal of Human-Computer Studies (2025), pp. 103444-103444
Open Access
Consistent graph embedding network with optimal transport for incomplete multi-view clustering
Renjie Lin, Shide Du, Shiping Wang, et al.
Information Sciences (2023) Vol. 647, pp. 119418-119418
Open Access | Times Cited: 10
Explainable Artificial Intelligence to Support Work Safety in Forestry: Insights from Two Large Datasets, Open Challenges, and Future Work
Ferdinand Hoenigsberger, Anna Saranti, Anahid Jalali, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3911-3911
Open Access | Times Cited: 3
Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-AI
Fabrizia Auletta, Rachel W. Kallen, Mario di Bernardo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression
Ivan De Boi, Elissa Embrechts, Quirine Schatteman, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102770-102770
Open Access | Times Cited: 2
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges
Anna Saranti, Bastian Pfeifer, Christoph Gollob, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024)
Open Access | Times Cited: 2
Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification
Jenniffer Carolina Triana-Martinez, Julián Gil-González, José A. Fernandez-Gallego, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3518-3518
Open Access | Times Cited: 5
Predicting the need for XAI from high-granularity interaction data
Vagner Figuerêdo de Santana, Ana Fucs, Vinícius Segura, et al.
International Journal of Human-Computer Studies (2023) Vol. 175, pp. 103029-103029
Closed Access | Times Cited: 3
Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition
Arne Gevaert, Anna Saranti, Andreas Holzinger, et al.
Lecture notes in computer science (2023), pp. 13-30
Open Access | Times Cited: 3
Changes in multimorbidity burden over a 3–5 year period among people with HIV
Luxsena Sukumaran, Davide De Francesco, Alan Winston, et al.
Frontiers in Systems Biology (2023) Vol. 3
Open Access | Times Cited: 2
Intrinsically Interpretable Gaussian Mixture Model
Nourah Alangari, Mohamed El Bachir Menaï, Hassan Mathkour, et al.
Information (2023) Vol. 14, Iss. 3, pp. 164-164
Open Access | Times Cited: 2
Gaussian processes for 3D measurements
Ivan De Boi
(2024)
Open Access
Measures of Information Use Quality for Changing Activity Success in Agricultural Systems
Alexander Geyda
Lecture notes in networks and systems (2023), pp. 223-232
Closed Access
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