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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:

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: 167

Showing 1-25 of 167 citing articles:

Artificial Intelligence and Machine Learning Approaches to Facilitate Therapeutic Drug Management and Model-Informed Precision Dosing
Ethan A. Poweleit, Alexander A. Vinks, Tomoyuki Mizuno
Therapeutic Drug Monitoring (2023) Vol. 45, Iss. 2, pp. 143-150
Open Access | Times Cited: 50
BIG DATA ANALYTICS IN HEALTHCARE: A REVIEW OF RECENT ADVANCES AND POTENTIAL FOR PERSONALIZED MEDICINE
Amaka Obijuru, Jeremiah Olawumi Arowoogun, Chinyere Onwumere, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 2, pp. 170-182
Open Access | Times Cited: 17
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-40
Open Access | Times Cited: 67
Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
Melissa Y. Yan, Lise Tuset Gustad, Øystein Nytrø
Journal of the American Medical Informatics Association (2021) Vol. 29, Iss. 3, pp. 559-575
Open Access | Times Cited: 62
Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects
Jithin S. Sunny, C. Pawan K. Patro, Khushi Karnani, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 756-756
Open Access | Times Cited: 40
Challenges and best practices for digital unstructured data enrichment in health research: A systematic narrative review
Jana Sedláková, Paola Daniore, Andrea B. Horn, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 10, pp. e0000347-e0000347
Open Access | Times Cited: 31
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation
William Klement, Khaled El Emam
Journal of Medical Internet Research (2023) Vol. 25, pp. e48763-e48763
Open Access | Times Cited: 27
Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record
Lovedeep S Dhingra, Miles Shen, Anjali Mangla, et al.
The American Journal of Cardiology (2023) Vol. 203, pp. 136-148
Open Access | Times Cited: 24
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review
Jin-Ah Sim, Xiaolei Huang, Madeline R. Horan, et al.
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102701-102701
Closed Access | Times Cited: 24
Surviving ChatGPT in healthcare
Zhengliang Liu, Lu Zhang, Zihao Wu, et al.
Frontiers in Radiology (2024) Vol. 3
Open Access | Times Cited: 15
LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
Othmane Friha, Mohamed Amine Ferrag, Burak Kantarcı, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5799-5856
Open Access | Times Cited: 9
Automated Machine Learning for Healthcare
M. Sri Rama Lakshmi Reddy, Yamjala Arjun Sagar, Nallagondla Jyothi, et al.
Cognitive science and technology (2025), pp. 25-37
Closed Access | Times Cited: 1
Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review
Su Golder, Dongfang Xu, Karen O’Connor, et al.
Drug Safety (2025)
Open Access | Times Cited: 1
Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing
Liwei Wang, Sunyang Fu, Andrew Wen, et al.
JCO Clinical Cancer Informatics (2022), Iss. 6
Open Access | Times Cited: 31
Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning
Corey M. Benedum, Arjun Sondhi, Erin Fidyk, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1853-1853
Open Access | Times Cited: 17
MONTRA2: A web platform for profiling distributed databases in the health domain
João Rafael Almeida, José Luís Oliveira
Informatics in Medicine Unlocked (2024) Vol. 45, pp. 101447-101447
Open Access | Times Cited: 7
Preconception health risk factors documented in general practice electronic medical records
Nishadi Nethmini Withanage, Jessica R. Botfield, Kirsten Black, et al.
BMJ Sexual & Reproductive Health (2024) Vol. 50, Iss. 3, pp. 165-171
Open Access | Times Cited: 6
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: 6
Optimizing Healthcare Throughput: The Role of Machine Learning and Data Analytics
Priyanka S. Deorankar, Vipra V. Vaidya, Neha Munot, et al.
(2024), pp. 225-255
Closed Access | Times Cited: 6
Artificial Intelligence-Based Medical Data Mining
Amjad Zia, Muzzamil Aziz, Ιοana Popa, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 9, pp. 1359-1359
Open Access | Times Cited: 27
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions
Vankamamidi S. Naresh, M. Thamarai
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Closed Access | Times Cited: 15
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: 13
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
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: 5
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: 5
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