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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:

TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records
Zhichao Yang, Avijit Mitra, Weisong Liu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Toward real‐world deployment of machine learning for health care: External validation, continual monitoring, and randomized clinical trials
Han Yuan
Health care science (2024) Vol. 3, Iss. 5, pp. 360-364
Open Access | Times Cited: 9
Photoreceptor metabolic window unveils eye–body interactions
Shaopeng Yang, Zhuoyao Xin, Weijing Cheng, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Wind Power Forecasting with Machine Learning Algorithms in Low-Cost Devices
Pablo Andrés Buestán Andrade, Mario Peñacoba, Jesús Enrique Sierra-García, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1541-1541
Open Access | Times Cited: 6
A multi-center study on the adaptability of a shared foundation model for electronic health records
Lin Guo, Jason Fries, Ethan Steinberg, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
DOME: Directional medical embedding vectors from electronic health records
Jun Wen, Hao Xue, Everett Rush, et al.
Journal of Biomedical Informatics (2025), pp. 104768-104768
Closed Access
Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review
Zina Ben Miled, Jacob A. Shebesh, Jing Su, et al.
Information (2025) Vol. 16, Iss. 1, pp. 54-54
Open Access
A deep attention-based encoder for the prediction of type 2 diabetes longitudinal outcomes from routinely collected health care data
Enrico Manzini, Bogdan Vlacho, Josep Franch‐Nadal, et al.
Expert Systems with Applications (2025), pp. 126876-126876
Open Access
BSAformer: bidirectional sequence splitting aggregation attention mechanism for long term series forecasting
Qingbo Zhu, Jialin Han, Sheng Yang, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 4
Open Access
Integrin αvβ3-Targeted Therapeutic Strategies in Pancreatic Cancers
Zi-Lin Li, Ya‐Jung Shih, Chung‐Che Tsai, et al.
IntechOpen eBooks (2025)
Closed Access
Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk
Hakima Laribi, Nicolas Raymond, Ryeyan Taseen, et al.
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Open Access
NLP-enriched social determinants of health improve prediction of suicide death among the Veterans
Zhichao Yang, Avijit Mitra, Wen Hu, et al.
Research Square (Research Square) (2025)
Closed Access
Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data
Kevin Dick, Emily Kaczmarek, Robin Ducharme, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers
L. Lilli, Mario Santoro, Valeria Masiello, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records
Azza Abdel Monem, Reem AlAleeli, Khaled Shaalan
Computers (2025) Vol. 14, Iss. 4, pp. 148-148
Open Access
Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study
Elisabetta Spinazzola, Guillaume Picaud, Sara Becchi, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 9, pp. 2943-2943
Open Access
SPPformer: A transformer-based model with a sparse attention mechanism for comprehensive and interpretable ship price analysis
Wenyang Wang, Yuping Luo, Yuqiang Xu, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 199, pp. 104136-104136
Closed Access
Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data—A Systematic Review and Assessment
Anup Kumar Mishra, Bradford Chong, Shivaram P. Arunachalam, et al.
The American Journal of Gastroenterology (2024) Vol. 119, Iss. 8, pp. 1466-1482
Closed Access | Times Cited: 3
Learning the natural history of human disease with generative transformers
Artem Shmatko, Alexander W. Jung, Kumar Gaurav, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Optimizing pain management in breast cancer care: Utilizing ‘All of Us’ data and deep learning to identify patients at elevated risk for chronic pain
Jung In Park, Steve Johnson, Lisiane Pruinelli
Journal of Nursing Scholarship (2024)
Open Access | Times Cited: 1
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
Denis Jered McInerney, W.G. Dickinson, Lucy C Flynn, et al.
(2024), pp. 7193-7210
Open Access | Times Cited: 1
Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Mei Liu, et al.
(2024), pp. 748-757
Open Access | Times Cited: 1
Task-Specific Transformer-Based Language Models in Health Care: A Scoping Review (Preprint)
Ha Na Cho, Tae Joon Jun, Young‐Hak Kim, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e49724-e49724
Open Access | Times Cited: 1
Transfer learning enabled transformer-based generative adversarial networks for modeling and generating terahertz channels
Zhengdong Hu, Yuanbo Li, Chong Han
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Big Epidemiology: The Birth, Life, Death, and Resurgence of Diseases on a Global Timescale
Nicola Luigi Bragazzi, Thorsten Lehr
Epidemiologia (2024) Vol. 5, Iss. 4, pp. 669-691
Open Access | Times Cited: 1
Identification of Myocardial Infarction (MI) Probability from Imbalanced Medical Survey Data: An Artificial Neural Network (ANN) with Explainable AI (XAI) Insights
Simon Bin Akter, Sumya Akter, Tanmoy Sarkar Pias, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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