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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:

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: 538

Showing 1-25 of 538 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: 1539
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: 338
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: 310
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
Leo Anthony Celi, Jacqueline Cellini, Marie‐Laure Charpignon, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 3, pp. e0000022-e0000022
Open Access | Times Cited: 248
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: 234
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: 187
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: 159
ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model
Hanyao Huang, Ou Zheng, Dongdong Wang, et al.
International Journal of Oral Science (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 149
The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 144
Opportunities and challenges of text mining in materials research
Olga Kononova, Tanjin He, Haoyan Huo, et al.
iScience (2021) Vol. 24, Iss. 3, pp. 102155-102155
Open Access | Times Cited: 127
Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 127
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: 113
Embracing Large Language Models for Medical Applications: Opportunities and Challenges
Mert Karabacak, Konstantinos Margetis
Cureus (2023)
Open Access | Times Cited: 105
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: 104
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science
Amalie Trewartha, Nicholas Walker, Haoyan Huo, et al.
Patterns (2022) Vol. 3, Iss. 4, pp. 100488-100488
Open Access | Times Cited: 100
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: 93
CLIMATEBERT: A Pretrained Language Model for Climate-Related Text
Nicolas Webersinke, Mathias Kraus, Julia Bingler, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 92
The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model
David M. Levine, Rudraksh Tuwani, Benjamin Kompa, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 91
Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk, et al.
AI and Ethics (2023) Vol. 4, Iss. 4, pp. 1085-1115
Open Access | Times Cited: 79
RR-Former: Rainfall-runoff modeling based on Transformer
Hanlin Yin, Zilong Guo, Xiuwei Zhang, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127781-127781
Closed Access | Times Cited: 76
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 5, pp. 1-25
Open Access | Times Cited: 64
A critical assessment of using ChatGPT for extracting structured data from clinical notes
Jingwei Huang, Donghan M. Yang, Ruichen Rong, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 59
Artificial intelligence in public health: the potential of epidemic early warning systems
C. Raina MacIntyre, Xin Chen, Mohana Kunasekaran, et al.
Journal of International Medical Research (2023) Vol. 51, Iss. 3
Open Access | Times Cited: 53
A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin, et al.
(2024)
Open Access | Times Cited: 39
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