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:

Predicting risk of dementia with machine learning and survival models using routine primary care records
John Langham, Daniel Stamate, Charlotte Wu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 3036-3042
Open Access | Times Cited: 5

Showing 5 citing articles:

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats
Jakob Steinfeldt, Benjamin Wild, Thore Buergel, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats
Jakob Steinfeldt, Benjamin Wild, Thore Buergel, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3

Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort
Daniel Stamate, Henry Musto, Olesya Ajnakina, et al.
IFIP advances in information and communication technology (2022), pp. 436-447
Closed Access | Times Cited: 7

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats
Jakob Steinfeldt, Benjamin Wild, Thore Buergel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

A Dynamic Composite Ensemble Learning Framework for Multi-Stage Dementia Prediction
Bangyan Li, Junyan Mao, Xingjiao Wu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 30, pp. 867-872
Closed Access

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