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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:

Electronic health records-driven phenotyping: challenges, recent advances, and perspectives
Jyotishman Pathak, Abel Kho, Joshua C. Denny
Journal of the American Medical Informatics Association (2013) Vol. 20, Iss. e2, pp. e206-e211
Open Access | Times Cited: 255

Showing 1-25 of 255 citing articles:

Human symptoms–disease network
Xuezhong Zhou, Jörg Menche, Albert‐László Barabási, et al.
Nature Communications (2014) Vol. 5, Iss. 1
Open Access | Times Cited: 600
Mining Electronic Health Records (EHRs)
Pranjul Yadav, Michael Steinbach, Vipin Kumar, et al.
ACM Computing Surveys (2018) Vol. 50, Iss. 6, pp. 1-40
Open Access | Times Cited: 262
Automated methods for the summarization of electronic health records
Rimma Pivovarov, Noémie Elhadad
Journal of the American Medical Informatics Association (2015) Vol. 22, Iss. 5, pp. 938-947
Open Access | Times Cited: 193
Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models
Juan M. Banda, Martin Seneviratne, Tina Hernandez‐Boussard, et al.
Annual Review of Biomedical Data Science (2018) Vol. 1, Iss. 1, pp. 53-68
Open Access | Times Cited: 191
A critical assessment of using ChatGPT for extracting structured data from clinical notes
Jingwei Huang, Donghan M. Yang, Ruichen Rong, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 59
EVALUATING THE EFFECTIVENESS OF IT PROJECT MANAGEMENT IN HEALTHCARE DIGITALIZATION: A REVIEW
Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Adedolapo Omotosho, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 1, pp. 37-50
Open Access | Times Cited: 35
Big Data in Medicine Is Driving Big Changes
Karin Verspoor, Fernando Martín-Sánchez
Yearbook of Medical Informatics (2014) Vol. 23, Iss. 01, pp. 14-20
Open Access | Times Cited: 176
Rubik
Yichen Wang, Robert F. Chen, Joydeep Ghosh, et al.
(2015), pp. 1265-1274
Open Access | Times Cited: 173
A ‘Green Button’ For Using Aggregate Patient Data At The Point Of Care
Chris Longhurst, Robert A. Harrington, Nigam H. Shah
Health Affairs (2014) Vol. 33, Iss. 7, pp. 1229-1235
Closed Access | Times Cited: 161
Learning statistical models of phenotypes using noisy labeled training data
Vibhu Agarwal, Tanya Podchiyska, Juan M. Banda, et al.
Journal of the American Medical Informatics Association (2016) Vol. 23, Iss. 6, pp. 1166-1173
Open Access | Times Cited: 161
Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records
Sara L. Van Driest, Quinn S. Wells, Sarah Stallings, et al.
JAMA (2016) Vol. 315, Iss. 1, pp. 47-47
Open Access | Times Cited: 159
Temporal Phenotyping from Longitudinal Electronic Health Records
Chuanren Liu, Fei Wang, Jianying Hu, et al.
(2015)
Closed Access | Times Cited: 149
Desiderata for computable representations of electronic health records-driven phenotype algorithms
Huan Mo, William K. Thompson, Luke V. Rasmussen, et al.
Journal of the American Medical Informatics Association (2015) Vol. 22, Iss. 6, pp. 1220-1230
Open Access | Times Cited: 132
Problems, challenges and promises: perspectives on precision medicine
David J. Duffy
Briefings in Bioinformatics (2015) Vol. 17, Iss. 3, pp. 494-504
Open Access | Times Cited: 126
Subtyping: What It is and Its Role in Precision Medicine
Suchi Saria, Anna Goldenberg
IEEE Intelligent Systems (2015) Vol. 30, Iss. 4, pp. 70-75
Closed Access | Times Cited: 121
Enabling phenotypic big data with PheNorm
Sheng Yu, Yumeng Ma, Jessica Gronsbell, et al.
Journal of the American Medical Informatics Association (2017) Vol. 25, Iss. 1, pp. 54-60
Open Access | Times Cited: 111
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods
Rachel Richesson, Jimeng Sun, Jyotishman Pathak, et al.
Artificial Intelligence in Medicine (2016) Vol. 71, pp. 57-61
Open Access | Times Cited: 102
Building the graph of medicine from millions of clinical narratives
Samuel G. Finlayson, Paea LePendu, Nigam H. Shah
Scientific Data (2014) Vol. 1, Iss. 1
Open Access | Times Cited: 97
Pragmatic randomized clinical trials: best practices and statistical guidance
Victoria Gamerman, Tianxi Cai, Amelie Elsäßer
Health Services and Outcomes Research Methodology (2018) Vol. 19, Iss. 1, pp. 23-35
Open Access | Times Cited: 84
Why Is the Electronic Health Record So Challenging for Research and Clinical Care?
John H. Holmes, James Beinlich, Mary Regina Boland, et al.
Methods of Information in Medicine (2021) Vol. 60, Iss. 01/02, pp. 032-048
Open Access | Times Cited: 59
Federated Learning in Health care Using Structured Medical Data
Won-Suk Oh, Girish N. Nadkarni
Advances in Kidney Disease and Health (2023) Vol. 30, Iss. 1, pp. 4-16
Open Access | Times Cited: 29
Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record Data
Saul Blecker, Stuart D. Katz, Leora I. Horwitz, et al.
JAMA Cardiology (2016) Vol. 1, Iss. 9, pp. 1014-1014
Open Access | Times Cited: 84
Parameterizing time in electronic health record studies
George Hripcsak, David J. Albers, Adler Perotte
Journal of the American Medical Informatics Association (2015) Vol. 22, Iss. 4, pp. 794-804
Open Access | Times Cited: 74
The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records
Michela Assale, Linda Greta Dui, Andrea Cina, et al.
Frontiers in Medicine (2019) Vol. 6
Open Access | Times Cited: 74
Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder
Todd Lingren, Pei Chen, Joseph Bochenek, et al.
PLoS ONE (2016) Vol. 11, Iss. 7, pp. e0159621-e0159621
Open Access | Times Cited: 73
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