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:

BEHRT: Transformer for Electronic Health Records
Yikuan Li, Shishir Rao, José Roberto Ayala Solares, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 371

Showing 1-25 of 371 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1546

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 543

Multimodal Learning With Transformers: A Survey
Peng Xu, Xiatian Zhu, David A. Clifton
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 10, pp. 12113-12132
Open Access | Times Cited: 345

Self-supervised learning in medicine and healthcare
Rayan Krishnan, Pranav Rajpurkar, Eric J. Topol
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1346-1352
Closed Access | Times Cited: 319

A Review of the Role of Artificial Intelligence in Healthcare
Ahmed Al Kuwaiti, Khalid Nazer, Abdullah H. Alreedy, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 6, pp. 951-951
Open Access | Times Cited: 319

Shifting machine learning for healthcare from development to deployment and from models to data
Angela Zhang, Lei Xing, James Zou, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1330-1345
Open Access | Times Cited: 239

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
Edward Choi, Zhen Xu, Yujia Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 01, pp. 606-613
Open Access | Times Cited: 200

AMMU: A survey of transformer-based biomedical pretrained language models
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha
Journal of Biomedical Informatics (2021) Vol. 126, pp. 103982-103982
Open Access | Times Cited: 195

Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Elias Hossain, Rajib Rana, Niall Higgins, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106649-106649
Open Access | Times Cited: 170

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
Yuqi Si, Jingcheng Du, Li Zhao, et al.
Journal of Biomedical Informatics (2020) Vol. 115, pp. 103671-103671
Open Access | Times Cited: 160

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Davide Placido, Bo Yuan, Jessica Xin Hjaltelin, et al.
Nature Medicine (2023) Vol. 29, Iss. 5, pp. 1113-1122
Open Access | Times Cited: 156

A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 743-755
Open Access | Times Cited: 129

Neural Natural Language Processing for unstructured data in electronic health records: A review
Irene Li, Jessica Pan, Jeremy Goldwasser, et al.
Computer Science Review (2022) Vol. 46, pp. 100511-100511
Open Access | Times Cited: 125

Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu, Lin Li, Jiankai Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 6074-6087
Open Access | Times Cited: 115

Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 17, pp. 4-18
Open Access | Times Cited: 106

AI chatbots not yet ready for clinical use
Joshua Au Yeung, Željko Kraljević, Akish Luintel, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 99

Applications of transformer-based language models in bioinformatics: a survey
Shuang Zhang, Rui Fan, Yuti Liu, et al.
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 94

Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-52
Open Access | Times Cited: 86

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure
Shishir Rao, Yikuan Li, Rema Ramakrishnan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3362-3372
Open Access | Times Cited: 77

Time Series Prediction Using Deep Learning Methods in Healthcare
Mohammad Amin Morid, Olivia R. Liu Sheng, Joseph C. Dunbar
ACM Transactions on Management Information Systems (2022) Vol. 14, Iss. 1, pp. 1-29
Open Access | Times Cited: 74

End-to-End Transformer-Based Models in Textual-Based NLP
Abir Rahali, Moulay A. Akhloufi
AI (2023) Vol. 4, Iss. 1, pp. 54-110
Open Access | Times Cited: 62

Healthcare on the brink: navigating the challenges of an aging society in the United States
Charles H. Jones, Mikael Dolsten
npj Aging (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 51

A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: Applications, open challenges and future research directions
Avyay Casheekar, A. Lahiri, Kanishk Rath, et al.
Computer Science Review (2024) Vol. 52, pp. 100632-100632
Closed Access | Times Cited: 37

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