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:

Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches
Fred Lu, Mohammad W. Hattab, César Leonardo Clemente, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Mapping the landscape of Artificial Intelligence applications against COVID-19
Joseph Aylett-Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, et al.
Journal of Artificial Intelligence Research (2020) Vol. 69, pp. 807-845
Open Access | Times Cited: 464

The ethics of AI in health care: A mapping review
Jessica Morley, Caio C. Vieira Machado, Christopher Burr, et al.
Social Science & Medicine (2020) Vol. 260, pp. 113172-113172
Closed Access | Times Cited: 428

Social physics
Marko Jusup, Petter Holme, Kiyoshi Kanazawa, et al.
Physics Reports (2022) Vol. 948, pp. 1-148
Open Access | Times Cited: 404

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
Neo Wu, Bradley Green, Xue Ben, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 311

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
Nicole Kogan, Leonardo Clemente, Parker Liautaud, et al.
Science Advances (2021) Vol. 7, Iss. 10
Open Access | Times Cited: 164

Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution
Junjie Pang, Yan Huang, Zhenzhen Xie, et al.
Tsinghua Science & Technology (2021) Vol. 26, Iss. 5, pp. 759-771
Open Access | Times Cited: 156

An overview of GeoAI applications in health and healthcare
Maged N. Kamel Boulos, Guochao Peng, Trang VoPham
International Journal of Health Geographics (2019) Vol. 18, Iss. 1
Open Access | Times Cited: 146

Telehealth and Artificial Intelligence Insights into Healthcare during the COVID-19 Pandemic
Dina M. El‐Sherif, Mohamed Abouzid, Mohamed Tarek Elzarif, et al.
Healthcare (2022) Vol. 10, Iss. 2, pp. 385-385
Open Access | Times Cited: 95

The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges
Amir Ahmad, Sunita Garhwal, Santosh Kumar Ray, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 4, pp. 2645-2653
Open Access | Times Cited: 106

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
Lucas M. Stolerman, Leonardo Clemente, Canelle Poirier, et al.
Science Advances (2023) Vol. 9, Iss. 3
Open Access | Times Cited: 27

Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models
Dianbo Liu, Leonardo Clemente, Canelle Poirier, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 8, pp. e20285-e20285
Open Access | Times Cited: 64

The Debate on the Ethics of AI in Health Care: a Reconstruction and Critical Review
Jessica Morley, Caio C. Vieira Machado, Christopher Burr, et al.
SSRN Electronic Journal (2019)
Open Access | Times Cited: 57

EpiDeep
Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, et al.
(2019), pp. 577-586
Open Access | Times Cited: 55

Estimating the Cumulative Incidence of COVID-19 in the United States Using Four Complementary Approaches
Fred Lu, André T. Nguyen, Nicholas Link, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 53

Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches
Fred Lu, André T. Nguyen, Nicholas Link, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 6, pp. e1008994-e1008994
Open Access | Times Cited: 50

Incorporating human mobility data improves forecasts of Dengue fever in Thailand
Mathew V. Kiang, Mauricio Santillana, Jarvis T. Chen, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 45

The Ethics of AI in Health Care: A Mapping Review
Jessica Morley, Caio C. Vieira Machado, Christopher Burr, et al.
Philosophical studies series (2021), pp. 313-346
Closed Access | Times Cited: 41

Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review
Emmanuelle Sylvestre, Clarisse Joachim, Elsa Cécilia‐Joseph, et al.
PLoS neglected tropical diseases (2022) Vol. 16, Iss. 1, pp. e0010056-e0010056
Open Access | Times Cited: 33

Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study
Hao‐Yuan Cheng, Yu-Chun Wu, Min-Hau Lin, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 8, pp. e15394-e15394
Open Access | Times Cited: 48

Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models
Dianbo Liu, Leonardo Clemente, Canelle Poirier, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 9, pp. e23996-e23996
Open Access | Times Cited: 40

Toward the use of neural networks for influenza prediction at multiple spatial resolutions
Emily Aiken, André T. Nguyen, Cécile Viboud, et al.
Science Advances (2021) Vol. 7, Iss. 25
Open Access | Times Cited: 39

Transmission Patterns of Seasonal Influenza in China between 2010 and 2018
Hao Lei, Lei Yang, Gang Wang, et al.
Viruses (2022) Vol. 14, Iss. 9, pp. 2063-2063
Open Access | Times Cited: 25

A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited data
Austin G. Meyer, Fred Lu, Leonardo Clemente, et al.
Epidemics (2025) Vol. 50, pp. 100816-100816
Open Access

Synthesis of three-dimensional free-standing WSe2/C hybrid nanofibers as anodes for high-capacity lithium/sodium ion batteries
Jing Li, Shaobo Han, Junwei Zhang, et al.
Journal of Materials Chemistry A (2019) Vol. 7, Iss. 34, pp. 19898-19908
Closed Access | Times Cited: 38

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