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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:

Epidemic mitigation by statistical inference from contact tracing data
Antoine Baker, Indaco Biazzo, Alfredo Braunstein, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 32
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review
Ching Nam Hang, Yi-Zhen Tsai, Pei-Duo Yu, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 108-108
Open Access | Times Cited: 16
COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina
Erik Rosenstrom, Julie S. Ivy, María E. Mayorga, et al.
Epidemics (2024) Vol. 46, pp. 100752-100752
Open Access | Times Cited: 5
A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic
Abdul Majeed, Seong Oun Hwang
IEEE Access (2021) Vol. 9, pp. 164159-164187
Open Access | Times Cited: 26
Test allocation based on risk of infection from first and second order contact tracing
Soler Gabriela Bayolo, Miraine Dávila Felipe, Ghislaine Gayraud
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320291-e0320291
Open Access
Small-coupling dynamic cavity: A Bayesian mean-field framework for epidemic inference
Alfredo Braunstein, Giovanni Catania, Luca Dall’Asta, et al.
Physical Review Research (2025) Vol. 7, Iss. 2
Open Access
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: 16
Dynamics of epidemics from cavity master equations: Susceptible-infectious-susceptible models
Ernesto Ortega, David Machado, Alejandro Lage-Castellanos
Physical review. E (2022) Vol. 105, Iss. 2
Closed Access | Times Cited: 15
Proactive Contact Tracing
Prateek Gupta, Tegan Maharaj, Martin Weiß, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 3, pp. e0000199-e0000199
Open Access | Times Cited: 8
Effectiveness of probabilistic contact tracing in epidemic containment: The role of super-spreaders and transmission path reconstruction
Anna Paola Muntoni, Fabio Mazza, Alfredo Braunstein, et al.
PNAS Nexus (2024) Vol. 3, Iss. 9
Open Access | Times Cited: 2
Impact of presymptomatic transmission on epidemic spreading in contact networks: A dynamic message-passing analysis
Bo Li, David Saad
Physical review. E (2021) Vol. 103, Iss. 5
Open Access | Times Cited: 15
A Novel Metaheuristic Framework Based on the Generalized Boltzmann Distribution for COVID-19 Spread Characterization
Juan de Anda-Suárez, Valentín Calzada-Ledesma, David Asael Gutiérrez Hernández, et al.
IEEE Access (2022) Vol. 10, pp. 7326-7340
Open Access | Times Cited: 8
Inference in conditioned dynamics through causality restoration
Alfredo Braunstein, Giovanni Catania, Luca Dall’Asta, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Bayes-optimal inference for spreading processes on random networks
Davide Ghio, Antoine L. M. Aragon, Indaco Biazzo, et al.
Physical review. E (2023) Vol. 108, Iss. 4
Open Access | Times Cited: 4
Influencers as Superspreaders of Disease
Hernán A. Makse, Marta Zava
Understanding complex systems (2024), pp. 255-270
Closed Access | Times Cited: 1
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8
Identify hidden spreaders of pandemic over contact tracing networks
Shuhong Huang, J. F. Sun, Ling Feng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
On the Performance and Effectiveness of Digital Contact Tracing in the Second Wave of COVID-19 in Italy
Leonardo Maccari
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 1, pp. 108-119
Open Access | Times Cited: 4
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees
Rob Romijnders, Christos Louizos, Yuki M. Asano, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14829-14837
Open Access
Bayes-optimal inference for spreading processes on random networks
Davide Ghio, Antoine L. M. Aragon, Indaco Biazzo, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Ensemble inference of unobserved infections in networks using partial observations
Renquan Zhang, Jilei Tai, Sen Pei
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011355-e1011355
Open Access | Times Cited: 1
Statistical mechanics of inference in epidemic spreading
Alfredo Braunstein, Louise Budzynski, Matteo Mariani
Physical review. E (2023) Vol. 108, Iss. 6
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
Inference in conditioned dynamics through causality restoration
Alfredo Braunstein, Giovanni Catania, Luca Dall’Asta, et al.
Research Square (Research Square) (2023)
Open Access
Statistical Mechanics of Inference in Epidemic Spreading
Alfredo Braunstein, Louise Budzynski, Matteo Mariani
arXiv (Cornell University) (2023)
Open Access
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