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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:

Exploring the Boundaries of GPT-4 in Radiology
Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 10

Showing 10 citing articles:

Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks
Fares Al Mohamad, Leonhard Donle, Felix J. Dorfner, et al.
Academic Radiology (2025)
Open Access | Times Cited: 2
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports
Madhumita Sushil, Travis Zack, Divneet Mandair, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 10, pp. 2315-2327
Open Access | Times Cited: 14
RareBench: Can LLMs Serve as Rare Diseases Specialists?
Xuanzhong Chen, Xiaohao Mao, Qihan Guo, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4850-4861
Open Access | Times Cited: 7
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
Madhumita Sushil, Travis Zack, Divneet Mandair, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
Benchmarking large language models for biomedical natural language processing applications and recommendations
Qingyu Chen, Yan Hu, Xueqing Peng, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Cutting Edge to Cutting Time: Can ChatGPT Improve the Radiologist’s Reporting?
Rayan A. Ahyad, Yasir Zaylaee, Tasneem Hassan, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 2
Assessing Large Language Models for Oncology Data Inference From Radiology Reports
L. Chen, Travis Zack, Arda Demirci, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Open Access | Times Cited: 2
Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework
Ying Chang, Jianming Yin, Jianmin Li, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 2
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification
Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers
Medical Image Analysis (2024) Vol. 99, pp. 103383-103383
Open Access | Times Cited: 1
Assessing Large Language Models for Oncology Data Inference from Radiology Reports
Li-Ching Chen, Travis Zack, Arda Demirci, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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