Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

xxAI - Beyond Explainable Artificial Intelligence
Andreas Holzinger, Randy Goebel, Ruth Fong, et al.
Lecture notes in computer science (2022), pp. 3-10
Open Access | Times Cited: 22

Showing 22 citing articles:

Explainable AI for Bioinformatics: Methods, Tools and Applications
Md. Rezaul Karim, Tanhim Islam, Md Shajalal, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 67
Towards Trustworthy AI in Dentistry
Jackie Ma, Lisa Schneider, Sebastian Lapuschkin, et al.
Journal of Dental Research (2022) Vol. 101, Iss. 11, pp. 1263-1268
Open Access | Times Cited: 37
Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches
Deepika Singh, Erinç Merdivan, Johannes Kropf, et al.
Universal Access in the Information Society (2024)
Open Access | Times Cited: 6
Explainable AI for Event and Anomaly Detection and Classification in Healthcare Monitoring Systems
Menatalla Abououf, Shakti Singh, Rabeb Mizouni, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 2, pp. 3446-3457
Closed Access | Times Cited: 16
Evaluating the Potential of LLMs and ChatGPT on Medical Diagnosis and Treatment
Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, et al.
(2023), pp. 1-9
Closed Access | Times Cited: 11
Predicting outcomes of smoking cessation interventions in novel scenarios using ontology-informed, interpretable machine learning
Janna Hastings, Martin Glauer, Robert West, et al.
Wellcome Open Research (2023) Vol. 8, pp. 503-503
Open Access | Times Cited: 10
Development of gradient boosting-assisted machine learning data-driven model for free chlorine residual prediction
Wiley Helm, Shifa Zhong, Elliot Reid, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 18, Iss. 2
Closed Access | Times Cited: 7
Artificial Intelligence Integrated Energy Education Framework. A Holistic Approach
Adam Stecyk, Ireneusz Miciuła
(2024)
Open Access | Times Cited: 2
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers
Mariano V. Ntrougkas, Nikolaos Gkalelis, Vasileios Mezaris
IEEE Access (2024) Vol. 12, pp. 76880-76900
Open Access | Times Cited: 2
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism
Ioanna Gkartzonika, Nikolaos Gkalelis, Vasileios Mezaris
Lecture notes in computer science (2023), pp. 396-411
Closed Access | Times Cited: 6
Explainability and transparency in the realm of digital humanities: toward a historian XAI
Hassan El-Hajj, Oliver Eberle, Anika Merklein, et al.
International Journal of Digital Humanities (2023) Vol. 5, Iss. 2-3, pp. 299-331
Open Access | Times Cited: 6
Cross-domain learning for pulmonary nodule detection using Gestalt principle of similarity
Seba Susan, Dhaarna Sethi, Kriti Arora
Soft Computing (2023)
Closed Access | Times Cited: 5
A multi-objective optimization design to generate surrogate machine learning models in explainable artificial intelligence applications
Wellington Rodrigo Monteiro, Gilberto Reynoso-Meza
EURO Journal on Decision Processes (2023) Vol. 11, pp. 100040-100040
Open Access | Times Cited: 5
Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
(2023), pp. 486-490
Closed Access | Times Cited: 4
Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models
Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, et al.
(2023), pp. 70-77
Closed Access | Times Cited: 4
AI-Driven Cross-Platform Design
Ushaa Eswaran, Vishal Eswaran
Advances in social networking and online communities book series (2024), pp. 19-48
Closed Access | Times Cited: 1
Explainable AI for Non-Experts: Energy Tariff Forecasting
Hongnan Ma, Kevin McAreavey, Ryan McConville, et al.
2022 27th International Conference on Automation and Computing (ICAC) (2022), pp. 1-6
Open Access | Times Cited: 6
TSEM: Temporally-Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series
Duy Anh Phạm, Anastassia Kuestenmacher, Paul G. Ploeger
Lecture notes in networks and systems (2023), pp. 183-204
Open Access | Times Cited: 3
Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
(2023), pp. 1-7
Closed Access | Times Cited: 2
Evaluation of ChatGPT-supported diagnosis, staging and treatment planning for the case of lung cancer
Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 2
Speeding up LIME using Attention Weights
Sudarsun Santhiappan, Mukesh Kumar Reghu, Mahendran Saminathan, et al.
(2024), pp. 444-448
Closed Access
Explainability of Digital Wallets’ Fraud Detection Algorithms: Comparative Analysis of SHAP and Permutation Feature Importance
Sinenkhosi Mamba, Franck Rivel Kamwa Djomou, Olushina Olawale Awe
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health (2024), pp. 627-665
Closed Access
Page 1

Scroll to top