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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:

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 1-25 of 34 citing articles:

Parallel Cerebrospinal Fluid and Serum Temporal Profile Assessment of Axonal Injury Biomarkers Neurofilament-Light Chain and Phosphorylated Neurofilament-Heavy Chain: Associations With Patient Outcome in Moderate-Severe Traumatic Brain Injury
Kevin Wang, David J. Barton, Leah E. McQuillan, et al.
Journal of Neurotrauma (2024) Vol. 41, Iss. 13-14, pp. 1609-1627
Closed Access | Times Cited: 8
Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review
Lucía A. Carrasco‐Ribelles, José Llanes-Jurado, Carlos Gallego-Moll, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 12, pp. 2072-2082
Open Access | Times Cited: 19
Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review
Ying Wang, Nian Li, Lingmin Chen, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46089-e46089
Open Access | Times Cited: 16
Transforming medicine: artificial intelligence integration in the peripheral nervous system
Yue Qian, Ahmad Alhaskawi, Yanzhao Dong, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 6
Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction
Lars Palmowski, Hartmuth Nowak, Andrea Witowski, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0300739-e0300739
Open Access | Times Cited: 6
Application of hybrid gate recurrent unit for in-store trajectory prediction based on indoor location system
Yi Zuo, Junhao Jiang, Katsutoshi Yada
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The Integration of Automation in Nursing Practice: Opportunities, Challenges, and Future Directions (Preprint)
Joseph Andrew Pepito, Neilan John Acaso
(2025)
Closed Access
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study
Simon Schallmoser, Thomas Zueger, Mathias Kraus, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e42181-e42181
Open Access | Times Cited: 15
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare
Mohanad Alkhodari, Zhaohan Xiong, Ahsan H. Khandoker, et al.
Expert Review of Cardiovascular Therapy (2023) Vol. 21, Iss. 7, pp. 531-543
Closed Access | Times Cited: 12
Machine-learning-based adverse drug event prediction from observational health data: A review
Jonas Denck, Elif Özkırımlı, Ken Wang
Drug Discovery Today (2023) Vol. 28, Iss. 9, pp. 103715-103715
Closed Access | Times Cited: 9
Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study
Jin Shi, David Bendig, Horst Christian Vollmar, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45815-e45815
Open Access | Times Cited: 8
Estimating Average Causal Effects from Patient Trajectories
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7586-7594
Open Access | Times Cited: 7
Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives
Isabella Friis Jørgensen, Amalie Dahl Haue, Davide Placido, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 251-276
Open Access | Times Cited: 2
Predictive modeling of biomedical temporal data in healthcare applications: review and future directions
Abhidnya Patharkar, Fulin Cai, Firas Al-Hindawi, et al.
Frontiers in Physiology (2024) Vol. 15
Open Access | Times Cited: 2
Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II
Mathias Kraus, Stefan Feuerriegel, Maytal Saar‐Tsechansky
Manufacturing & Service Operations Management (2023) Vol. 26, Iss. 1, pp. 137-153
Open Access | Times Cited: 6
Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data
Sharon Torao Pingi, Duoyi Zhang, Md Abul Bashar, et al.
Data Science and Engineering (2023) Vol. 9, Iss. 1, pp. 5-25
Open Access | Times Cited: 4
Predicting the outcome in poisoned patients: look at the past!
Samanta M. Zwaag, Claudine C. Hunault, Dylan W. de Lange
Clinical Toxicology (2024) Vol. 62, Iss. 3, pp. 139-144
Closed Access | Times Cited: 1
Machine learning-derived phenotypic trajectories of asthma and allergy in children and adolescents: protocol for a systematic review
Daniil Lisik, Gregorio P. Milani, Michael Salisu, et al.
BMJ Open (2024) Vol. 14, Iss. 8, pp. e080263-e080263
Open Access | Times Cited: 1
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review
Lillian Muyama, Antoine Neuraz, Adrien Coulet
Journal of Biomedical Informatics (2024) Vol. 160, pp. 104746-104746
Open Access | Times Cited: 1
Elexacaftor/tezacaftor/ivacaftor and mental health: A workshop report from the Cystic Fibrosis Foundation's Prioritizing Research in Mental Health working group
Christina J. Bathgate, David A. Fedele, Emma M. Tillman, et al.
Journal of Cystic Fibrosis (2024)
Open Access | Times Cited: 1
Refining Echocardiographic Surveillance of Aortic Stenosis Using Machine Learning
Attila Kovács, Márton Tokodi
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 6, pp. 745-748
Open Access | Times Cited: 3
Data-driven dynamic treatment planning for chronic diseases
Christof Naumzik, Stefan Feuerriegel, Anne Mølgaard Nielsen
European Journal of Operational Research (2022) Vol. 305, Iss. 2, pp. 853-867
Open Access | Times Cited: 5
Predicting interstitial lung disease progression in patients with systemic sclerosis using attentive neural processes - a EUSTAR study
Ahmed E. Allam, Á. Horváth, Matthias Dittberner, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Scaling text de-identification using locally augmented ensembles
Karthik Murugadoss, Saivikas Killamsetty, Deeksha Doddahonnaiah, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development (Preprint)
Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
(2024)
Open Access
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