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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:

Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
Joakim Skarding, Bogdan Gabryś, Katarzyna Musiał
IEEE Access (2021) Vol. 9, pp. 79143-79168
Open Access | Times Cited: 209

Showing 1-25 of 209 citing articles:

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
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang, et al.
ACM Transactions on Sensor Networks (2022) Vol. 19, Iss. 2, pp. 1-50
Open Access | Times Cited: 76
A Survey on Graph Representation Learning Methods
Shima Khoshraftar, Aijun An
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 1, pp. 1-55
Open Access | Times Cited: 61
Prediction of protein–ligand binding affinity via deep learning models
Huiwen Wang
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 17
Gated Graph Recurrent Neural Networks
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 6303-6318
Open Access | Times Cited: 125
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex Borges Vieira, et al.
ACM Computing Surveys (2021) Vol. 55, Iss. 1, pp. 1-37
Open Access | Times Cited: 96
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
Meng‐Lin Yang, Min Zhou, Marcus Kalander, et al.
(2021), pp. 1975-1985
Open Access | Times Cited: 79
A dual-path dynamic directed graph convolutional network for air quality prediction
Xiao Xiao, Zhiling Jin, Shuo Wang, et al.
The Science of The Total Environment (2022) Vol. 827, pp. 154298-154298
Open Access | Times Cited: 39
Graph Lifelong Learning: A Survey
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 1, pp. 32-51
Open Access | Times Cited: 35
Convolutional Neural Network
Xiu Zhang, Xin Zhang, Sheng Wang
(2023), pp. 39-71
Closed Access | Times Cited: 35
A key review on graph data science: The power of graphs in scientific studies
Resul Daş, Mücahit Soylu
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 240, pp. 104896-104896
Closed Access | Times Cited: 25
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
Meng Qin, Dit‐Yan Yeung
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-40
Open Access | Times Cited: 22
Integrating sentiment analysis with graph neural networks for enhanced stock prediction: A comprehensive survey
Nabanita Das, Bikash Sadhukhan, Rajdeep Chatterjee, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100417-100417
Open Access | Times Cited: 12
Graph neural networks for text classification: a survey
Kunze Wang, Yihao Ding, Soyeon Caren Han
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 9
A contrastive learning strategy for optimizing node non-alignment in dynamic community detection
Xiaohong Li, Wanyao Shi, Qixuan Peng, et al.
Neurocomputing (2025), pp. 129548-129548
Closed Access | Times Cited: 1
Deep learning of contagion dynamics on complex networks
Charles J. Murphy, Edward Laurence, Antoine Allard
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 55
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window
Yifan Zhu, Fangpeng Cong, Dan Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3650-3662
Open Access | Times Cited: 20
Prediction model for bearing surface friction coefficient in bolted joints based on GA-BP neural network and experimental data
Wentao Chen, Ying Li, Zhifeng Liu, et al.
Tribology International (2024) Vol. 201, pp. 110217-110217
Closed Access | Times Cited: 7
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
Zeyang Zhang, Xin Wang, Ziwei Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4350-4361
Open Access | Times Cited: 6
Survey on security issues of routing and anomaly detection for space information networks
Ming Zhuo, Leyuan Liu, Shijie Zhou, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 33
Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey
Jiaqi Wen, Bogdan Gabryś, Katarzyna Musiał
IEEE Access (2022) Vol. 10, pp. 66886-66923
Open Access | Times Cited: 25
Dynamic Hypergraph Convolutional Network
Nan Yin, Fuli Feng, Zhigang Luo, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2022), pp. 1621-1634
Closed Access | Times Cited: 22
A Comprehensive Survey of Recommender Systems Based on Deep Learning
Hongde Zhou, Fei Xiong, Hongshu Chen
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11378-11378
Open Access | Times Cited: 13
Dynamic Neural Network Structure: A Review for Its Theories and Applications
Jifeng Guo, C. L. Philip Chen, Zhulin Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4246-4266
Closed Access | Times Cited: 5
A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges
Qiang He, S.-Y. Zhang, Yuliang Cai, et al.
ACM Computing Surveys (2025)
Closed Access
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