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:

Analyzing Patient Trajectories With Artificial Intelligence
Ahmed Allam, Stefan Feuerriegel, Michael Rebhan, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 12, pp. e29812-e29812
Open Access | Times Cited: 34

Showing 26-50 of 34 citing articles:

Representing Outcome-Driven Higher-Order Dependencies in Graphs of Disease Trajectories
Steven J. Krieg, Nitesh V. Chawla, Keith Feldman
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 11-20
Open Access

How Steep is Your Slide? I Really Mean to Learn
BALIMKIZ SENMAN, ARUSHI SINGH, Bernard Kadosh, et al.
Journal of Cardiac Failure (2024) Vol. 30, Iss. 10, pp. 1208-1210
Closed Access

AI-driven optimisation of EHR systems implementation in Tanzania’s primary health care
Augustino Mwogosi
Transforming Government People Process and Policy (2024)
Closed Access

A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis
Robbe D’hondt, Sinéad Moylett, An Goris, et al.
Lecture notes in computer science (2023), pp. 25-34
Closed Access | Times Cited: 1

Unraveling the Predictive Potential of Rapid Scoring in Pleural Infection: A Critical Review
Srinivasulareddy Annareddy, Babaji Ghewade, Ulhas Jadhav, et al.
Cureus (2023)
Open Access

Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes
Mingyi Li, Xiao Zhang, Haochao Ying, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 1103-1108
Closed Access

Understanding the chronic kidney disease landscape using patient representation learning from electronic health records
Karen Kapur, Moritz Freidank, Michael Rebhan
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access

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