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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:

Estimating the state of epidemics spreading with graph neural networks
Abhishek Tomy, Matteo Razzanelli, Francesco Di Lauro, et al.
Nonlinear Dynamics (2022) Vol. 109, Iss. 1, pp. 249-263
Open Access | Times Cited: 19

Showing 19 citing articles:

Researching public health datasets in the era of deep learning: a systematic literature review
Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, et al.
Health Informatics Journal (2025) Vol. 31, Iss. 1
Open Access | Times Cited: 1
A Review of Graph Neural Networks in Epidemic Modeling
Zewen Liu, Guancheng Wan, B. Aditya Prakash, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6577-6587
Open Access | Times Cited: 6
Large Language Models for Electronic Health Record De-Identification in English and German
Samuel Sousa, Michael Jantscher, Mark Kröll, et al.
Information (2025) Vol. 16, Iss. 2, pp. 112-112
Open Access
Topological signal processing and learning: Recent advances and future challenges
Elvin Isufi, Geert Leus, Baltasar Beferull‐Lozano, et al.
Signal Processing (2025), pp. 109930-109930
Closed Access
MPSTAN: Metapopulation-Based Spatio–Temporal Attention Network for Epidemic Forecasting
Junkai Mao, Yuexing Han, Bing Wang
Entropy (2024) Vol. 26, Iss. 4, pp. 278-278
Open Access | Times Cited: 4
A Bayesian generative neural network framework for epidemic inference problems
Indaco Biazzo, Alfredo Braunstein, Luca Dall’Asta, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Predicting the daily number of patients for allergic diseases using PM10 concentration based on spatiotemporal graph convolutional networks
Hyeon-Ju Jeon, Hyeon-Jin Jeon, Seung Ho Jeon
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0304106-e0304106
Open Access | Times Cited: 1
Preface to the special issue “Complex dynamics of COVID-19: modeling, prediction and control (part II)”
Walter Lacarbonara, Jun Ma, C. Nataraj
Nonlinear Dynamics (2022) Vol. 109, Iss. 1, pp. 1-3
Open Access | Times Cited: 7
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning
Wenjie Fu, Huandong Wang, Chen Gao, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 3, pp. 1-29
Open Access | Times Cited: 2
Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting
Lin Chen, Jianghong Zhou, Jing Zhang, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2023), pp. 128-137
Open Access | Times Cited: 2
CAST2-Zone Wise Disease Outbreak Control Model for SARS-Cov 2
P. Muthulakshmi, K. Suthendran, Vinayakumar Ravi
Multimedia Tools and Applications (2024)
Closed Access
Topological Signal Processing and Learning: Recent Advances and Future Challenges
Elvin Isufi, Geert Leus, Baltasar Beferull‐Lozano, et al.
(2024)
Closed Access
Models for Digitally Contact-Traced Epidemics
Chiara Boldrini, Andrea Passarella, Marco Conti
IEEE Access (2022) Vol. 10, pp. 106180-106190
Open Access | Times Cited: 3
Estimating the parameters of epidemic spread on two-layer random graphs: a classical and a neural network approach
Ágnes Backhausz, Edit Bognár, Villő Csiszár, et al.
Journal of Statistical Theory and Practice (2024) Vol. 18, Iss. 4
Open Access
Flattening the Curve Through Reinforcement Learning Driven Test and Trace Policies
Andrei Rusu, Katayoun Farrahi, Mahesan Niranjan
Pervasive Computing Technologies for Healthcare (2023), pp. 174-206
Closed Access | Times Cited: 1
Epidemic inference through generative neural networks
Indaco Biazzo, Alfredo Braunstein, Luca Dall’Asta, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Redes Neurais de Grafos no Contexto das Cidades Inteligentes
Cláudio G. S. Capanema, Fabrício Alves Barbosa da Silva, Antônio A. F. Loureiro
(2022), pp. 135-176
Open Access | Times Cited: 1
A Two-Phase Feature Selection Method for Identifying Influential Spreaders of Disease Epidemics in Complex Networks
Xiya Wang, Yuexing Han, Bing Wang
Entropy (2023) Vol. 25, Iss. 7, pp. 1068-1068
Open Access
Schatten Graph Neural Networks
Youfa Liu, Yongyong Chen, Guo Chen, et al.
IEEE Access (2022) Vol. 10, pp. 56482-56492
Open Access
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