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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:

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
裕二 池谷, Robert Tinn, Hao Cheng, et al.
ACM Transactions on Computing for Healthcare (2021) Vol. 3, Iss. 1, pp. 1-23
Open Access | Times Cited: 1240

Showing 1-25 of 1240 citing articles:

Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 1930-1940
Closed Access | Times Cited: 1376
Deep Learning--based Text Classification
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 3, pp. 1-40
Closed Access | Times Cited: 1062
BioGPT: generative pre-trained transformer for biomedical text generation and mining
Renqian Luo, Liai Sun, Yingce Xia, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 502
A large language model for electronic health records
Xi Yang, Aokun Chen, Nima PourNejatian, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 445
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 2817-2825
Open Access | Times Cited: 327
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 323
Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine
Stefan Harrer
EBioMedicine (2023) Vol. 90, pp. 104512-104512
Open Access | Times Cited: 280
Fact or Fiction: Verifying Scientific Claims
David Wadden, Shanchuan Lin, Kyle Lo, et al.
(2020)
Open Access | Times Cited: 272
Self-Alignment Pretraining for Biomedical Entity Representations
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 217
LinkBERT: Pretraining Language Models with Document Links
Michihiro Yasunaga, Jure Leskovec, Percy Liang
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 188
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
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 173
Drug repurposing for COVID-19 via knowledge graph completion
Rui Zhang, Dimitar Hristovski, Dalton Schutte, et al.
Journal of Biomedical Informatics (2021) Vol. 115, pp. 103696-103696
Open Access | Times Cited: 161
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: 158
ChatGPT in healthcare: A taxonomy and systematic review
Jianning Li, Amin Dada, Behrus Puladi, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 245, pp. 108013-108013
Open Access | Times Cited: 155
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.
(2022)
Open Access | Times Cited: 146
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art
Patrick Lewis, Myle Ott, Jingfei Du, et al.
(2020)
Open Access | Times Cited: 138
Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu, et al.
Health care science (2023) Vol. 2, Iss. 4, pp. 255-263
Open Access | Times Cited: 126
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
Structured information extraction from scientific text with large language models
John Dagdelen, Alexander Dunn, Sang‐Hoon Lee, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 125
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Shuai Wang, Harrisen Scells, Bevan Koopman, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 1426-1436
Open Access | Times Cited: 124
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, et al.
IEEE Access (2024) Vol. 12, pp. 26839-26874
Open Access | Times Cited: 122
Almanac — Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Rohan Shad, Akash Chaurasia, et al.
NEJM AI (2024) Vol. 1, Iss. 2
Open Access | Times Cited: 116
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
A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 112
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