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:

Challenges and opportunities beyond structured data in analysis of electronic health records
Maryam Tayefi, Phuong Dinh Ngo, Taridzo Chomutare, et al.
Wiley Interdisciplinary Reviews Computational Statistics (2021) Vol. 13, Iss. 6
Open Access | Times Cited: 156

Showing 26-50 of 156 citing articles:

A cross-sectional survey investigating surgeon perceptions of pre-operative risk prediction models incorporating radiomic features
Jane N. Ewing, Zachary Gala, Malia Voytik, et al.
Hernia (2025) Vol. 29, Iss. 1
Closed Access

A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging
Sisipho Hamlomo, Marcellin Atemkeng, Yusuf Brima, et al.
Neural Computing and Applications (2025)
Open Access

How AI can help us beat AMR
Autumn Arnold, Stewart McLellan, Jonathan Stokes
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access

Application Value and Progress of Unstructured Data in Early Prediction of Pediatric Sepsis
婉沁 宋
Advances in Clinical Medicine (2025) Vol. 15, Iss. 03, pp. 1501-1506
Closed Access

Hospital-wide natural language processing summarising the health data of 1 million patients
Daniel Bean, Željko Kraljević, Anthony Shek, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 5, pp. e0000218-e0000218
Open Access | Times Cited: 13

How can we improve the quality of data collected in general practice?
Lara Shemtob, Thomas Beaney, John D. Norton, et al.
BMJ (2023), pp. e071950-e071950
Closed Access | Times Cited: 12

An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study
Lei Wang, Yinyao Ma, Wenshuai Bi, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54580-e54580
Open Access | Times Cited: 4

Optimising the use of electronic medical records for large scale research in psychiatry
Danielle Newby, Niall Taylor, Dan W. Joyce, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Prediction of acute hypertensive episodes in critically ill patients
Nevo Itzhak, Itai M. Pessach, Robert Moskovitch
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102525-102525
Closed Access | Times Cited: 11

A Natural Language Processing Algorithm to Improve Completeness of ECOG Performance Status in Real-World Data
Aaron B. Cohen, Andrej Rosic, Katherine Harrison, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6209-6209
Open Access | Times Cited: 11

Clinicians’ Guide to Artificial Intelligence in Colon Capsule Endoscopy—Technology Made Simple
Ian Io Lei, Gohar Jalayeri Nia, Elizabeth White, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1038-1038
Open Access | Times Cited: 10

Ten Topics to Get Started in Medical Informatics Research
Markus Wolfien, Najia Ahmadi, Kai Fitzer, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45948-e45948
Open Access | Times Cited: 10

Use of electronic medical records in the digital healthcare system and its role in communication and medical information sharing among healthcare professionals
Ayşe Gedikçi Öndoğan, Mehmet Sargın, Kadir Canoz
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101373-101373
Open Access | Times Cited: 10

Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review
Jin‐ah Sim, Xiaolei Huang, Madeline R. Horan, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2024) Vol. 24, Iss. 4, pp. 467-475
Closed Access | Times Cited: 3

Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data
Soroor Laffafchi, Ahmad Ebrahimi, Samira Kafan
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3

Examining the Generalizability of Pretrained De-identification Transformer Models on Narrative Nursing Notes
Fangyi Chen, Syed Mohtashim Abbas Bokhari, Kenrick Cato, et al.
Applied Clinical Informatics (2024) Vol. 15, Iss. 02, pp. 357-367
Open Access | Times Cited: 3

An evaluation of the effectiveness of machine learning prediction models in assessing breast cancer risk
Mahmoud Darwich, Magdy Bayoumi
Informatics in Medicine Unlocked (2024) Vol. 49, pp. 101550-101550
Open Access | Times Cited: 3

Opportunities and challenges of 5G network technology toward precision medicine
Chia Chao Kang, Tze Yan Lee, Wai Feng Lim, et al.
Clinical and Translational Science (2023) Vol. 16, Iss. 11, pp. 2078-2094
Open Access | Times Cited: 9

Open-source electronic health record systems: A systematic review of most recent advances
Mohsin Shaikh, Arshad HM Vayani, Sabina Akram, et al.
Health Informatics Journal (2022) Vol. 28, Iss. 2
Open Access | Times Cited: 14

Machine-learning-based adverse drug event prediction from observational health data: A review
Jonas Denck, Elif Özkırımlı, Ken Wang
Drug Discovery Today (2023) Vol. 28, Iss. 9, pp. 103715-103715
Closed Access | Times Cited: 8

Lung Cancer Prediction Using Electronic Claims Records: A Transformer-Based Approach
Huanyu Chen, Huimin Wang, Ching‐Heng Lin, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 6062-6073
Closed Access | Times Cited: 8

Incorporating reproductive system history data into cardiovascular nursing research to advance women’s health
Mary C. Davis, Shirin O. Hiatt, Nandita Gupta, et al.
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 2, pp. 206-211
Open Access | Times Cited: 2

Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses
Martin Baumgartner, Karl Kreiner, Aaron Lauschensky, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2

Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review
Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, et al.
IEEE Access (2021) Vol. 9, pp. 151697-151712
Open Access | Times Cited: 18

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