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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:

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: 519

Showing 1-25 of 519 citing articles:

ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
Partha Pratim Ray
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 121-154
Open Access | Times Cited: 1476
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 172-180
Open Access | Times Cited: 1373
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
Luigi De Angelis, Francesco Baglivo, Guglielmo Arzilli, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 419
The future landscape of large language models in medicine
Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti, et al.
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 410
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: 288
War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education
Jürgen Rudolph, Shannon Tan, Samson Tan
Journal of Applied Learning & Teaching (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 283
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
Augustin Lecler, Loïc Duron, Philippe Soyer
Diagnostic and Interventional Imaging (2023) Vol. 104, Iss. 6, pp. 269-274
Open Access | Times Cited: 282
Autonomous chemical research with large language models
Daniil A. Boiko, Robert MacKnight, Ben Kline, et al.
Nature (2023) Vol. 624, Iss. 7992, pp. 570-578
Open Access | Times Cited: 258
Using AI-generated suggestions from ChatGPT to optimize clinical decision support
Siru Liu, Aileen P Wright, Barron L. Patterson, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 7, pp. 1237-1245
Open Access | Times Cited: 256
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 163
A study of generative large language model for medical research and healthcare
Peng Cheng, Xi Yang, Aokun Chen, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 161
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: 157
AI-powered therapeutic target discovery
Frank W. Pun, Ivan V. Ozerov, Alex Zhavoronkov
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 9, pp. 561-572
Open Access | Times Cited: 140
ChatGPT goes to the operating room: evaluating GPT-4 performance and its potential in surgical education and training in the era of large language models
Namkee Oh, Gyu‐Seong Choi, Woo Yong Lee
Annals of Surgical Treatment and Research (2023) Vol. 104, Iss. 5, pp. 269-269
Open Access | Times Cited: 135
A visual-language foundation model for computational pathology
Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 863-874
Open Access | Times Cited: 131
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: 129
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: 121
ChatGPT in Healthcare: A Taxonomy and Systematic Review
Jianning Li, Amin Dada, Jens Kleesiek, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 120
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: 116
A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges
Anam Nazir, Ze Wang
Meta-Radiology (2023) Vol. 1, Iss. 2, pp. 100022-100022
Open Access | Times Cited: 114
Large Language Models in Medicine: The Potentials and Pitfalls
Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, et al.
Annals of Internal Medicine (2024) Vol. 177, Iss. 2, pp. 210-220
Open Access | Times Cited: 105
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 91
ChatGPT outscored human candidates in a virtual objective structured clinical examination in obstetrics and gynecology
Sarah W. Li, Matthew W. Kemp, Susan Logan, et al.
American Journal of Obstetrics and Gynecology (2023) Vol. 229, Iss. 2, pp. 172.e1-172.e12
Open Access | Times Cited: 88
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: 87
Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot
Loredana Caruccio, Stefano Cirillo, Giuseppe Polese, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121186-121186
Open Access | Times Cited: 87
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