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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.

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Showing 26-50 of 45 citing articles:

A systematic literature review on Machine Learning Model evaluation on healthcare applications
Cezar Miranda Paula de Souza, Cephas Alves da Silveira Barreto, L. Macedo, et al.
Research Society and Development (2023) Vol. 12, Iss. 6, pp. e5412642042-e5412642042
Open Access | Times Cited: 2
COVID-19: An evaluation of predictive scoring systems in South Africa
Brent Tyler Aloysius Prim, Ismail Kalla, Jarrod Zamparini, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21733-e21733
Open Access | Times Cited: 2
Risk factors for progression to severe infection and prolonged viral clearance time in hospitalized elderly patients infected with the Omicron variant of SARS-CoV-2: a retrospective study at Shanghai Fourth People's Hospital, School of Medicine, Tongji University
Siqi Tang, Qiuhong Man, Dongliang Zhu, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access
Methodological Challenges using Routine Clinical Care Data for Real-World Evidence: a Rapid Review utilizing a systematic literature search and focus group discussion
Michelle Pfaffenlehner, Max Behrens, Daniela Zöller, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Nonadverse COVID-19 evolution predictors: the CoNAE scale
Esther Pulido-Herrero, Nere Larrea, Susana García‐Gutiérrez, et al.
Emergencias (2024)
Open Access
A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras
Okechinyere J. Achilonu, George Obaido, Blessing Ogbuokiri, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises
João Guerreiro, Roger Garriga, Toni Lozano Bagén, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access
Machine Learning to Predict Disease Severity and Progression in Hospitalized COVID-19 Patients Using Laboratory Data on Admission
Gökhan Tazegül, Volkan Aydın, Elif Tükenmez Tigen, et al.
Turkish Journal of Internal Medicine (2024)
Open Access
Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits
Trenton Chang, Mark Nuppnau, Ying He, et al.
PLOS Global Public Health (2024) Vol. 4, Iss. 10, pp. e0003555-e0003555
Open Access
Predicting Severe Respiratory Failure in Patients with COVID-19: A Machine Learning Approach
Bahadır Ceylan, Oktay Olmuşçelik, Banu Karaalioğlu, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 23, pp. 7386-7386
Open Access
National Multi-Institutional Validation of a Surgical Transfusion Risk Prediction Model
Sunny S. Lou, Yaoming Liu, Mark E. Cohen, et al.
Journal of the American College of Surgeons (2023) Vol. 238, Iss. 1, pp. 99-105
Closed Access | Times Cited: 1
Predicting covid-19 outcomes
Anand Habib, Nathan C. Lo
BMJ (2022), pp. o354-o354
Open Access | Times Cited: 2
Progress against health inequities is slow and obstacles are numerous
Elizabeth Loder
BMJ (2022), pp. o470-o470
Open Access | Times Cited: 2
Prognostic Modeling and Major Dataset Shifts During the COVID-19 Pandemic
William A. Knaus
JAMA Health Forum (2022) Vol. 3, Iss. 5, pp. e221103-e221103
Open Access | Times Cited: 2
Development and validation of a dynamic 48-hour in-hospital mortality risk stratification for COVID-19 in a UK teaching hospital: a retrospective cohort study
Martin Wiegand, Sarah L. Cowan, Claire S. Waddington, et al.
BMJ Open (2022) Vol. 12, Iss. 9, pp. e060026-e060026
Open Access | Times Cited: 1
Exploratory COVID-19 death risk score based on basic laboratory tests and physiological clinical measurements
Guiying Dong, Fei‐Fei Jin, Qi Huang, et al.
World Journal of Emergency Medicine (2022) Vol. 13, Iss. 6, pp. 453-453
Open Access | Times Cited: 1
Predicting oxygen requirements in patients with coronavirus disease 2019 using an artificial intelligence-clinician model based on local non-image data
Reiko Muto, Shigeki Fukuta, Tetsuo Watanabe, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 1
AI and Dynamic Prediction of Deterioration in Covid-19
Carolin Danker, Marat Murzabekov, David Forsberg, et al.
Springer eBooks (2022), pp. 257-277
Closed Access | Times Cited: 1
Artificial intelligence in respiratory medicine
Sherif Gonem
Elsevier eBooks (2023), pp. 127-135
Closed Access
Machine learning model evaluation on healthcare applications: A Review
Cezar Miranda Paula de Souza, Cephas Alves da Silveira Barreto, L. Macedo, et al.
Seven Editora eBooks (2023)
Open Access
Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study (Preprint)
Koutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
(2023)
Open Access
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