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:
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 12
Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 12
Showing 12 citing articles:
Graph neural networks in histopathology: Emerging trends and future directions
Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103444-103444
Open Access | Times Cited: 2
Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103444-103444
Open Access | Times Cited: 2
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
Ignacio Chang-Brahim, Lukas J. Koppensteiner, Lorenzo Beltrame, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
Explainable AI: A review of applications to neuroimaging data
Farzad V. Farahani, Krzysztof Fiok, Behshad Lahijanian, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 27
Farzad V. Farahani, Krzysztof Fiok, Behshad Lahijanian, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 27
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 10675-10683
Open Access | Times Cited: 14
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 10675-10683
Open Access | Times Cited: 14
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
Adrien Bennetot, Ivan Donadello, A. Haouari, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 2, pp. 1-44
Open Access | Times Cited: 5
MEGAN: Multi-explanation Graph Attention Network
Jonas Teufel, Luca Torresi, Patrick Reiser, et al.
Communications in computer and information science (2023), pp. 338-360
Closed Access | Times Cited: 4
Jonas Teufel, Luca Torresi, Patrick Reiser, et al.
Communications in computer and information science (2023), pp. 338-360
Closed Access | Times Cited: 4
Interpretable Neural-Symbolic Concept Reasoning
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Enhancing Concept Completeness for Graph Neural Networks via Side-Channel
Yicong Li, Kuanjiu Zhou, Mingyu Fan, et al.
(2024), pp. 1-4
Closed Access
Yicong Li, Kuanjiu Zhou, Mingyu Fan, et al.
(2024), pp. 1-4
Closed Access
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach
Ruichu Cai, Yuxuan Zhu, Chen XueXin, et al.
Neural Networks (2024) Vol. 184, pp. 107065-107065
Open Access
Ruichu Cai, Yuxuan Zhu, Chen XueXin, et al.
Neural Networks (2024) Vol. 184, pp. 107065-107065
Open Access
Global Concept Explanations for Graphs by Contrastive Learning
Jonas Teufel, Pascal Friederich
Communications in computer and information science (2024), pp. 184-208
Closed Access
Jonas Teufel, Pascal Friederich
Communications in computer and information science (2024), pp. 184-208
Closed Access
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Matteo Bianchi, Antonio de Santis, Andrea Tocchetti, et al.
(2024), pp. 3715-3723
Open Access
Matteo Bianchi, Antonio de Santis, Andrea Tocchetti, et al.
(2024), pp. 3715-3723
Open Access
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies
Jonas Teufel, Luca Torresi, Pascal Friederich
Communications in computer and information science (2023), pp. 361-381
Closed Access | Times Cited: 1
Jonas Teufel, Luca Torresi, Pascal Friederich
Communications in computer and information science (2023), pp. 361-381
Closed Access | Times Cited: 1
