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:

GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying, Dylan Bourgeois, Jiaxuan You, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 601

Showing 1-25 of 601 citing articles:

Graph neural network for traffic forecasting: A survey
Weiwei Jiang, Jiayun Luo
Expert Systems with Applications (2022) Vol. 207, pp. 117921-117921
Open Access | Times Cited: 751
Drug discovery with explainable artificial intelligence
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
Nature Machine Intelligence (2020) Vol. 2, Iss. 10, pp. 573-584
Open Access | Times Cited: 720
Recent advances and applications of deep learning methods in materials science
Kamal Choudhary, Brian DeCost, Chi Chen, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 592
Disentangled Graph Collaborative Filtering
Xiang Wang, Hongye Jin, An Zhang, et al.
(2020), pp. 1001-1010
Open Access | Times Cited: 481
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where
Imran Ahmed, Gwanggil Jeon, Francesco Piccialli
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 8, pp. 5031-5042
Closed Access | Times Cited: 459
Network medicine framework for identifying drug-repurposing opportunities for COVID-19
Deisy Morselli Gysi, Ítalo Faria do Valle, Marinka Žitnik, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 19
Open Access | Times Cited: 443
Interpretability of machine learning‐based prediction models in healthcare
Gregor Štiglic, Primož Kocbek, Nino Fijačko, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2020) Vol. 10, Iss. 5
Open Access | Times Cited: 376
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan, Jinjun Xiong, Mengzhou Li, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2021) Vol. 5, Iss. 6, pp. 741-760
Open Access | Times Cited: 361
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan, Haiyang Yu, Shurui Gui, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-19
Open Access | Times Cited: 314
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI
Andreas Holzinger, Bernd Malle, Anna Saranti, et al.
Information Fusion (2021) Vol. 71, pp. 28-37
Open Access | Times Cited: 289
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Hao Yuan, Jiliang Tang, Xia Hu, et al.
(2020), pp. 430-438
Open Access | Times Cited: 244
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Qiang Huang, Makoto Yamada, Yuan Tian, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 7, pp. 6968-6972
Open Access | Times Cited: 233
Discovering Symbolic Models from Deep Learning with Inductive Biases
Miles Cranmer, Álvaro Sánchez‐González, Peter Battaglia, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 209
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
Sergi Abadal, Akshay Jain, Robert Guirado, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 9, pp. 1-38
Open Access | Times Cited: 199
Graph-based deep learning for communication networks: A survey
Weiwei Jiang
Computer Communications (2021) Vol. 185, pp. 40-54
Open Access | Times Cited: 189
A Survey of Data-driven and Knowledge-aware eXplainable AI
Xiaohui Li, Caleb Chen Cao, Yuhan Shi, et al.
IEEE Transactions on Knowledge and Data Engineering (2020), pp. 1-1
Closed Access | Times Cited: 185
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 181
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani, et al.
IEEE Access (2022) Vol. 10, pp. 93104-93139
Open Access | Times Cited: 175
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, et al.
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium (2022), pp. 1-9
Open Access | Times Cited: 169
Graph Neural Networks in Network Neuroscience
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5833-5848
Open Access | Times Cited: 166
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4758-4758
Open Access | Times Cited: 160
Vulnerability detection with fine-grained interpretations
Yi Li, Shaohua Wang, Tien N. Nguyen
(2021)
Open Access | Times Cited: 159
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 3, pp. 247-278
Open Access | Times Cited: 153
A Gentle Introduction to Graph Neural Networks
Benjamín Sánchez-Lengeling, Emily Reif, Adam Pearce, et al.
Distill (2021) Vol. 6, Iss. 8
Open Access | Times Cited: 153
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-59
Open Access | Times Cited: 134
Page 1 - Next Page

Scroll to top