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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:

Medical Information Extraction in the Age of Deep Learning
Udo Hahn, Michel Oleynik
Yearbook of Medical Informatics (2020) Vol. 29, Iss. 01, pp. 208-220
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Information extraction from electronic medical documents: state of the art and future research directions
Mohamed Yassine Landolsi, Lobna Hlaoua, Lotfi Romdhane
Knowledge and Information Systems (2022) Vol. 65, Iss. 2, pp. 463-516
Open Access | Times Cited: 57
Use of unstructured text in prognostic clinical prediction models: a systematic review
Tom M Seinen, Egill A. Friðgeirsson, Solomon Ioannou, et al.
Journal of the American Medical Informatics Association (2022)
Open Access | Times Cited: 49
Automated clinical coding: what, why, and where we are?
Hang Dong, Matúš Falis, William Whiteley, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 47
Transfer learning for non-image data in clinical research: A scoping review
Andreas Ebbehøj, Mette Østergaard Poulsen, Ole Emil Andersen, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 2, pp. e0000014-e0000014
Open Access | Times Cited: 39
A review of research on eligibility criteria for clinical trials
Qianmin Su, Gaoyi Cheng, Jihan Huang
Clinical and Experimental Medicine (2023) Vol. 23, Iss. 6, pp. 1867-1879
Open Access | Times Cited: 23
Augmented non-hallucinating large language models as medical information curators
Stephen Gilbert, Jakob Nikolas Kather, Aidan Hogan
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 15
Contextualized medication information extraction using Transformer-based deep learning architectures
Aokun Chen, Zehao Yu, Xi Yang, et al.
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104370-104370
Open Access | Times Cited: 22
GPAD: a natural language processing-based application to extract the gene-disease association discovery information from OMIM
K. M. Tahsin Hassan Rahit, Vladimir Avramović, Jessica X. Chong, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
Overview of the PromptCBLUE Shared Task in CHIP2023
Wei Zhu, Xiaoling Wang, Mosha Chen, et al.
Communications in computer and information science (2024), pp. 3-20
Closed Access | Times Cited: 5
MedT2T: An adaptive pointer constrain generating method for a new medical text-to-table task
Wang Zhao, Dongxiao Gu, Xuejie Yang, et al.
Future Generation Computer Systems (2024) Vol. 161, pp. 586-600
Closed Access | Times Cited: 5
CrimeScene2Graph: Generating Scene Graphs from Crime Scene Descriptions Using BERT NER
Farzeen Ashfaq, N. Z. Jhanjhi, Navid Ali Khan, et al.
Lecture notes in networks and systems (2025), pp. 183-201
Closed Access
Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice
Eric Weiner, Irene Dankwa‐Mullan, William A. Nelson, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 4, pp. e0000810-e0000810
Open Access
A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques
Yuanyuan Wang, Fangfang Wang, Zixin Qin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Evaluating Patients’ Experiences with Healthcare Services: Extracting Domain and Language-Specific Information from Free-Text Narratives
Barbara Jacennik, Emilia Zawadzka-Gosk, Paulo Moreira, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 16, pp. 10182-10182
Open Access | Times Cited: 16
Novel method for predicting nonvisible symptoms using machine learning in cancer palliative care
Kazuki Shimada, Satoru Tsuneto
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury
Hendrik ter Horst, Nicole Brazda, Jessica Schira‐Heinen, et al.
Artificial Intelligence in Medicine (2023) Vol. 137, pp. 102491-102491
Closed Access | Times Cited: 8
Identifying stroke-related quantified evidence from electronic health records in real-world studies
Lin Yang, Xiaoshuo Huang, Jiayang Wang, et al.
Artificial Intelligence in Medicine (2023) Vol. 140, pp. 102552-102552
Open Access | Times Cited: 8
Semi-Automatic Systematic Literature Reviews and Information Extraction of COVID-19 Scientific Evidence: Description and Preliminary Results of the COKE Project
Davide Golinelli, Andrea Giovanni Nuzzolese, Francesco Sanmarchi, et al.
Information (2022) Vol. 13, Iss. 3, pp. 117-117
Open Access | Times Cited: 13
Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems
Markus Kreuzthaler, Mathias Brochhausen, Cilia E. Zayas, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 7
Collaboration, not Confrontation: Understanding General Practitioners’ Attitudes Towards Natural Language and Text Automation in Clinical Practice
David Fraile Navarro, A. Baki Kocaballı, Mark Dras, et al.
ACM Transactions on Computer-Human Interaction (2022) Vol. 30, Iss. 2, pp. 1-34
Closed Access | Times Cited: 12
Information extraction from weakly structured radiological reports with natural language queries
Amin Dada, Tim Leon Ufer, Moon Kim, et al.
European Radiology (2023) Vol. 34, Iss. 1, pp. 330-337
Open Access | Times Cited: 6
Clinical information extraction for lower-resource languages and domains with few-shot learning using pretrained language models and prompting
Phillip Richter-Pechanski, Philipp Wiesenbach, Dominic M. Schwab, et al.
Natural language processing. (2024), pp. 1-24
Open Access | Times Cited: 2
Improving medical term embeddings using UMLS Metathesaurus
Ashis Kumar Chanda, Tian Bai, Ziyu Yang, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 10
A distributable German clinical corpus containing cardiovascular clinical routine doctor’s letters
Phillip Richter-Pechanski, Philipp Wiesenbach, Dominic M. Schwab, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Advances in deep learning: From diagnosis to treatment
Tianqi Huang, Longfei Ma, Boyu Zhang, et al.
BioScience Trends (2023) Vol. 17, Iss. 3, pp. 190-192
Open Access | Times Cited: 5
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