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:
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
Dongxia Wu, Liyao Gao, Xinyue Xiong, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15
Dongxia Wu, Liyao Gao, Xinyue Xiong, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15
Showing 15 citing articles:
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
Estee Y. Cramer, Evan L Ray, Velma K. Lopez, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 65
Estee Y. Cramer, Evan L Ray, Velma K. Lopez, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 65
Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 53
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 53
Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach
Hongru Du, Ensheng Dong, Hamada S. Badr, et al.
EBioMedicine (2023) Vol. 89, pp. 104482-104482
Open Access | Times Cited: 22
Hongru Du, Ensheng Dong, Hamada S. Badr, et al.
EBioMedicine (2023) Vol. 89, pp. 104482-104482
Open Access | Times Cited: 22
Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network
Behnam Nikparvar, Md. Mokhlesur Rahman, Faizeh Hatami, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 50
Behnam Nikparvar, Md. Mokhlesur Rahman, Faizeh Hatami, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 50
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Kristen Nixon, Sonia Jindal, Felix Parker, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 10, pp. e738-e747
Open Access | Times Cited: 35
Kristen Nixon, Sonia Jindal, Felix Parker, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 10, pp. e738-e747
Open Access | Times Cited: 35
Physics-guided neural networks with engineering domain knowledge for hybrid process modeling
Ethan R. Gallup, Tyler Gallup, Kody M. Powell
Computers & Chemical Engineering (2023) Vol. 170, pp. 108111-108111
Open Access | Times Cited: 13
Ethan R. Gallup, Tyler Gallup, Kody M. Powell
Computers & Chemical Engineering (2023) Vol. 170, pp. 108111-108111
Open Access | Times Cited: 13
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 prediction
Siawpeng Er, Shihao Yang, Tuo Zhao
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Siawpeng Er, Shihao Yang, Tuo Zhao
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Deep learning-based spatiotemporal multi-event reconstruction for delay line detectors
Marco Knipfer, Stefan Meier, Tobias Völk, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025019-025019
Open Access | Times Cited: 1
Marco Knipfer, Stefan Meier, Tobias Völk, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025019-025019
Open Access | Times Cited: 1
On some fundamental challenges in monitoring epidemics
Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2021) Vol. 380, Iss. 2214
Open Access | Times Cited: 6
Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2021) Vol. 380, Iss. 2214
Open Access | Times Cited: 6
Deep learning-informed Bayesian model-based analysis to estimate superspreading events in epidemic outbreaks
Arianna Tasciotti, F. Urban, Federica De Dea, et al.
IEEE Access (2024) Vol. 12, pp. 161375-161400
Open Access
Arianna Tasciotti, F. Urban, Federica De Dea, et al.
IEEE Access (2024) Vol. 12, pp. 161375-161400
Open Access
PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific
Song Wu, Senliang Bao, Wei Dong, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
Song Wu, Senliang Bao, Wei Dong, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
Towards course of disease based epidemiological modelling: motivation and computational optimization
Yu-Heng Wu, Torbjörn E. M. Nordling
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 213-222
Open Access | Times Cited: 1
Yu-Heng Wu, Torbjörn E. M. Nordling
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 213-222
Open Access | Times Cited: 1
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors
Marco Knipfer, Stefan Meier, Jonas Heimerl, et al.
arXiv (Cornell University) (2023)
Open Access
Marco Knipfer, Stefan Meier, Jonas Heimerl, et al.
arXiv (Cornell University) (2023)
Open Access
Some Challenges in Monitoring Epidemics
Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing
(2021)
Closed Access
Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing
(2021)
Closed Access
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction
Siawpeng Er, Shihao Yang, Tuo Zhao
arXiv (Cornell University) (2021)
Open Access
Siawpeng Er, Shihao Yang, Tuo Zhao
arXiv (Cornell University) (2021)
Open Access
