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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:

Prediction model for the spread of the COVID-19 outbreak in the global environment
Ron S. Hirschprung, Chen Hajaj
Heliyon (2021) Vol. 7, Iss. 7, pp. e07416-e07416
Open Access | Times Cited: 11

Showing 11 citing articles:

Machine learning-based approach: global trends, research directions, and regulatory standpoints
Raffaele Pugliese, Stefano Regondi, Riccardo Marini
Data Science and Management (2021) Vol. 4, pp. 19-29
Open Access | Times Cited: 220
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
Muhammad Usman Tariq, Shuhaida Ismail
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294289-e0294289
Open Access | Times Cited: 7
Deep Learning for Covid-19 Identification: A Comparative Analysis
P Suresh, Justin Jayaraj K, Aravintha Prasad, et al.
International Research Journal on Advanced Science Hub (2022) Vol. 4, Iss. 11, pp. 272-280
Open Access | Times Cited: 29
Explosive Behavior in COVID-19 and Policy Responses: Lessons Learned for Public Health Management
Lokman Gündüz, Ahmet Faruk Aysan, Rıfgı Buğra Bağcı, et al.
SAGE Open (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A Global Network Analysis of COVID-19 Vaccine Distribution to Predict Breakthrough Cases among the Vaccinated Population
Pragyaa Bodapati, Eddie Zhang, Sathya Padmanabhan, et al.
COVID (2024) Vol. 4, Iss. 10, pp. 1546-1560
Open Access | Times Cited: 1
Predicting COVID-19 county-level case number trend by combining demographic characteristics and social distancing policies
Megan Mun Li, Anh Tuan Pham, Tsung-Ting Kuo
JAMIA Open (2022) Vol. 5, Iss. 3
Open Access | Times Cited: 4
Evaluating the efficacy of univariate LSTM approach for COVID-19 data prediction in Indonesia
Tegar Arifin Prasetyo, Joshua Pratama Silitonga, Matthew Alfredo, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 1353-1353
Open Access
COVID-19 spreading prediction model based on a multi-head self-attention mechanism
Can Zhang, GengXin Sun
Research Square (Research Square) (2024)
Open Access
NONPHARMACEUTICAL AND PHARMACEUTICAL COVID-19 PREDICTION MODELS
Friday Zinzendoff Okwonu
FUDMA Journal of Sciences (2024) Vol. 8, Iss. 3, pp. 309-313
Closed Access
Covid-19 spread Forecast with respect to vaccination based on LSTM and GRU
Sidharth Sunil, Vishnu Dinesh Kumar, Akhil Babu, et al.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing (2022), pp. 32-36
Closed Access | Times Cited: 1
Prediction of COVID-19 Pandemic Spread Using Graph Neural Networks
Radhakrishnan Gopalapillai, Shreekanth M. Prabhu
Lecture notes in networks and systems (2023), pp. 53-63
Closed Access
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