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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:

Machine learning with multimodal data for COVID-19
Weijie Chen, Rui Carlos Sá, Yuntong Bai, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17934-e17934
Open Access | Times Cited: 12

Showing 12 citing articles:

Medical multimodal multitask foundation model for lung cancer screening
Chuang Niu, Qing Lyu, Christopher D. Carothers, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
A survey on the role of artificial intelligence in managing Long COVID
Ijaz Ahmad, Alessia Amelio, Arcangelo Merla, et al.
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 4
Algorithms for predicting COVID outcome using ready-to-use laboratorial and clinical data
Alice Aparecida Lourenço, P. H. R. Amaral, Adriana Alves Oliveira Paim, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
Flight short-term booking demand forecasting based on a long short-term memory network
Haonan He, Liangyu Chen, Shanyong Wang
Computers & Industrial Engineering (2023) Vol. 186, pp. 109707-109707
Closed Access | Times Cited: 7
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Dmitriy Viderman, Alexander Kotov, Maxim N. Popov, et al.
International Journal of Medical Informatics (2023) Vol. 182, pp. 105308-105308
Closed Access | Times Cited: 6
Toward the novel AI tasks in infection biology
Artur Yakimovich
mSphere (2024) Vol. 9, Iss. 2
Open Access | Times Cited: 1
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study
Ahmet Görkem Er, Daisy Yi Ding, Berrin Er, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue
Thorsten Rudroff, Riku Klén, Oona Rainio, et al.
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1209-1209
Open Access | Times Cited: 1
Methodology of collection, recording and markup of biophysical multimodal data in the study of human psychoemotional states
Natalia Shusharina
Izvestiya of Saratov University Physics (2024) Vol. 24, Iss. 3, pp. 239-249
Open Access
Efficient Clinical Decision-Making Process via AI-Based Multimodal Data Fusion: A COVID-19 Case Study
Daniel Iglesias, Joaquim de Moura, Pedro J. Marcos, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38642-e38642
Open Access
Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19
Ahmet Görkem Er, Daisy Yi Ding, Berrin Er, et al.
Research Square (Research Square) (2023)
Open Access
Prediction in the Context of Viral Pandemics: A Special Emphasis on SARS-CoV-2
Aseem Saxena, Manish Kumar
˜The œhandbook of environmental chemistry (2023), pp. 289-304
Closed Access
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